Home Blog Page 34

Top 5 High-Inflation Strategies: Investing in Education Funds During High Inflation

Wife and husband review financial documents seated at table with laptop, check receipts, discussing invoices, education savings or new rates.

College tuition keeps sprinting ahead of everyday prices. According to EducationData.org, published tuition has climbed about 3.9 percent a year since 2000—roughly forty percent faster than overall inflation. Leave college money in a plain savings account, and it falls behind.

The good news: you can outpace costs. In the guide that follows, we unpack the highest-impact inflation fighters, show you how to layer them by time horizon, and reveal the small tweaks that turn today’s planning into tomorrow’s tuition.

How we ranked the tools

You need a clear playbook, not a guessing game. We graded each option on five yardsticks:

  1. Inflation power: how reliably the tool keeps pace with college-cost inflation  
  2. Safety: risk of losing principal  
  3. Liquidity: how quickly you can tap the money when tuition is due  
  4. Tax efficiency: federal or state breaks that boost net return  
  5. Ease of use: account setup and ongoing upkeep

To keep the focus where it belongs, we weighted the factors as follows: inflation power 40 percent, safety 25 percent, liquidity 15 percent, tax perks 10 percent, and convenience 10 percent. Each tool earned a one-to-five score in every category, and the weighted totals produced the final ranking.

The outcome is a practical pecking order you can plug into real numbers instead of guessing.

Bright Start 529’s 529 College Savings Calculator lets you enter your child’s age, college preference, and a proposed monthly deposit.

Using roughly 5 percent annual tuition inflation and a 6 percent investment return—figures drawn from recent College Board data—the tool projects what share of future costs that contribution could cover.

You see which moves deliver the biggest inflation punch first and which work better as supporting players, so every step you take feels both logical and confident.

Quick comparison at a glance

The table below scores each strategy on the five yardsticks using a one-to-five scale (five is best, one is worst).

Tool Inflation hedge (1–5) Risk level (1–5) Liquidity (1–5) Tax benefits (1–5) Best use case
Series I savings bonds 5 5 2 4 Mid-term safety with CPI-linked growth
Prepaid tuition plans 4 5 1 4 Lock in future in-state tuition today
TIPS inside a 529 4 4 3 5 Protect the bond slice of your plan
Stock allocation tweaks 4 2 5 5 Long runway growth to beat tuition
High-yield savings 3 5 5 2 Money needed in the next one to two years
529-to-Roth flexibility 3 3 3 5 Backup plan for unused 529 funds
Inflation-indexed contributions 3 5 (behavioral) 5 1 Keep pace when costs jump

1. Series I savings bonds: your inflation-linked shock absorber

When inflation jumps, most assets race to catch up. Series I savings bonds rise in tandem with the Consumer Price Index, so real value stays intact even when stocks or nominal bonds sag. The composite rate resets every May 1 and November 1, combining a fixed rate with the latest CPI reading. For bonds issued November 2025 to April 2026, the composite rate is 4.03 percent, while the fixed portion (0.90 percent) keeps earning even if inflation cools.

Why we rank them first

  • Inflation guarantee. Each CPI uptick lifts your principal, preserving purchasing power.  
  • Treasury-backed safety. Your money carries the full faith of the United States government.  
  • Tax perks. Interest is state tax-free and can be federally tax-free if the bonds are redeemed for qualified higher-education costs and your modified AGI falls below the IRS phase-out (198,800–228,800 dollars for married filing jointly in 2025). Cash out, then roll the proceeds into a 529 plan within 60 days to keep the interest sheltered.

Key rules to know

  • Minimum holding period: 12 months  
  • Cash out before five years: forfeit the last three months of interest  
  • Purchase cap: 10,000 dollars per Social Security number each calendar year electronically, plus up to 5,000 dollars in paper bonds through your tax refund

Action step: Open a free TreasuryDirect account and schedule automatic purchases each January. Buying bonds three to five years in a row builds an inflation-proof pool of cash for sophomore and junior-year tuition, without market-risk headaches.

2. Prepaid tuition plans: lock tomorrow’s price today

Think of a prepaid plan as inflation insurance on tuition. You buy semesters at today’s price, and the program absorbs every increase until enrollment. If tuition climbs five percent a year, a four-year contract can deliver a 27 percent real return over eight years without touching the stock market.

How the promise works

  • Your contract is backed by the sponsoring state or the Private College 529 network.  
  • The plan redeems credits at whatever in-state tuition costs when your child enrolls, whether that is 30 percent or 100 percent higher.  
  • If your student goes elsewhere, most plans pay the average in-state rate or refund your contributions with modest growth.

Where you can still enroll in 2025

Florida, Maryland, Massachusetts, Michigan, Mississippi, Nevada, Pennsylvania, Texas, and Washington remain open to new investors. Other states run legacy programs but no longer accept fresh money.

Taxes and funding risk

Earnings grow tax-deferred and come out tax-free when used for tuition, just like a 529 savings plan. Before you sign, read the plan’s latest actuarial report. Well-funded programs (Florida is more than 100 percent funded) pose less risk than those with gaps.

Smart combo play

Use a prepaid contract to lock tuition, then save for room and board in a traditional 529. The pairing shields you from runaway costs yet keeps flexibility for housing, books, or an unexpected college pivot.

3. TIPS inside your 529: inflation insurance wrapped in a tax shelter

Treasury inflation-protected securities, or TIPS, are U.S. bonds whose principal rises with the Consumer Price Index. If inflation hits four percent, a 1,000-dollar TIPS grows to 1,040 dollars and the next interest check lands on that larger amount. Hold the same security inside a 529 plan and every CPI adjustment compounds tax-free, creating a double shield.

Mind the tuition gap. Over the past decade, private-college prices beat CPI by 1.9 percentage points a year and public in-state tuition by 2.2 points. TIPS may not close that entire spread, but they protect the conservative bucket far better than cash or nominal bonds.

How to add them

  • About 30 of the 52 major 529 plans now offer an “inflation-protected” portfolio; a quick switch in your dashboard does the job.  
  • If your plan lacks one, a low-cost TIPS ETF in a taxable account is another path, though you will owe tax on the yearly CPI adjustments, sometimes called phantom income.

Placement strategy

Increase TIPS weight as college approaches. A sample glide path could shift from 10 percent TIPS at age 10 to 40 percent by freshman year, smoothing volatility while still earning a modest real yield. In late 2025, the five-year TIPS real yield hovered near 1.8 percent above CPI. Growth assets lift the load early; TIPS hold the ground they gain.

Result: a steadier ride and a bond sleeve that does not quietly deflate when prices surge.

4. Keep growth alive with a smarter stock mix

Inflation does its worst damage over decades, not months, and equities remain the only asset class with a proven long-run edge. From 1926 through 2023, the S&P 500 delivered an average real return of seven percent a year after inflation, according to an analysis by Dimensional Fund Advisors. Leave stocks too early and tuition growth can outrun your portfolio.

529 Portfolio vs. Rising Tuition
A steadier 60% equity allocation can help 529 savings keep closer pace with fast-rising tuition costs

Right-size the timeline

  • Ages 0–12: An equity-heavy 529 (about eighty to one hundred percent stocks) gives contributions time to rebound from inevitable dips.  
  • High-school years: Many age-based glides drop to thirty percent stocks by age fifteen. Independent research from Gatewood Wealth Solutions suggests a steadier path—around 60 percent equities until senior year—maintains more purchasing power without a notable jump in volatility.

Build a diversified equity sleeve

Balance large-cap United States funds, international shares, and a dash of real-estate or natural-resource exposure. These segments often zig when others zag during inflationary spurts, giving returns multiple engines.

Stage your withdrawals

Tuition arrives over four years. Pay freshman bills from bonds and cash while letting junior-year money stay in stocks to recover. This layered approach keeps the growth engine running even after the acceptance letter lands.

Result: a college fund that races alongside rising costs instead of trailing them.

5. Park near-term cash in high-yield savings

When college is less than two years away, preservation beats growth. A sudden market dip right before tuition is a risk you can skip. High-yield savings accounts (HYSAs) and money-market funds solve that problem.

Online banks paid 4.5 to 5.1 percent APY in December 2025, roughly ten times the national savings average of 0.39 percent reported by the Federal Deposit Insurance Corporation. At that yield, cash nearly matches today’s three to four percent inflation and stays accessible any morning you need it.

Rates float, so if the Federal Reserve cuts aggressively, yields can fall. Check your HYSA each quarter and be ready to move cash or shift money into your 529’s stable-value option if returns lag inflation.

Rule of thumb: Move one semester’s projected cost into cash each spring of high school, then refill from your 529 as terms pass. You lock in certainty, dodge sequence-of-return risk, and still earn a modest real return.

Tax tip: Interest in a taxable HYSA counts as income. If your 529 offers a money-market portfolio yielding within half a point of your bank, keeping short-term funds inside the plan preserves the tax break.

6. Give your savings a cost-of-learning raise

Colleges raise prices almost every year. In the 2025–26 cycle, published tuition climbed 2.9 percent at public four-year schools and 4.0 percent at private nonprofits before inflation, according to the College Board. If your 529 contribution stays flat, you fall behind.

Treat your deposit like a paycheck and give it an annual raise. Suppose you save 400 dollars a month and boost that amount by the same three to four percent many colleges just posted. After ten years, you would put in about 5,700 dollars more in nominal terms yet end up with roughly ten percent greater real buying power because each raise compounds on the last.

Most plans let you pre-schedule percentage bumps every January. If yours does not, sync the change with your own raise or bonus: the day new money hits your paycheck, redirect a slice to the 529. Matching tuition’s pace year after year turns inflation from a lurking threat into just another line item you have already handled.

Quick check: some 529s allow only two allocation or contribution changes per calendar year. Verify your plan’s rules so your raise goes through without a hitch.

7. Turn leftover 529 dollars into a Roth retirement jump-start

Worried about over-saving? SECURE 2.0, effective 2024, lets you roll unused 529 money into the beneficiary’s Roth IRA tax- and penalty-free within strict guardrails:

  • Fifteen-year rule. The 529 must be at least fifteen years old, and contributions (plus earnings on them) made in the last five years are ineligible.  
  • Annual cap. Each rollover counts toward the beneficiary’s yearly Roth limit—7,000 dollars for 2025, subject to cost-of-living increases. The beneficiary needs earned income equal to the amount transferred.  
  • Lifetime cap. Total rollovers cannot exceed 35,000 dollars.  
  • Income limits do not apply. Even if the beneficiary’s income would normally phase out Roth contributions, the rollover still qualifies.

Why it matters: You can now save boldly, knowing any extra tuition money can power decades of tax-free retirement growth. Parents also retain flexibility, because the original Roth contributions—not the earnings—remain available if tuition overruns the 529.

Key move: Check your 529’s start date. When it turns fifteen, set calendar reminders to transfer up to the Roth limit every January until you reach the 35,000-dollar lifetime ceiling or your student’s senior year, whichever comes first.

8. Reality-check your plan with a 529 calculator

The smartest portfolio still misses if the target is wrong. A dedicated college-cost calculator shows line by line how inflation will swell your child’s bill and whether today’s savings rate keeps up.

Bright start 529 college savings calculator
Bright Start 529 College Savings Calculator Interface

Why most parents are surprised: Fidelity’s annual College Savings Indicator finds that families hope to cover 69 percent of future costs but are on track for only 27 percent.

What to plug in

  • Child’s age and college type (public versus private)  
  • Expected investment return  
  • Latest published tuition increase (public four-year schools averaged 2.9 percent for 2025–26; private nonprofits, 4.0 percent)  
  • Special factors such as a gap year, graduate school, or an early payoff plan

Run “what-ifs” for higher inflation, lower returns, or a scholarship windfall, then adjust your monthly transfer before the shortfall hurts.

Treat the calculator like an annual check-up. Update each spring; if rising prices or weak markets open a gap, boost deposits, add I bonds, or tweak your glide path. Data replaces guesswork and keeps every other strategy in proper proportion.

Common pitfalls and easy ways around them

Even with the right tools, families often stumble on a few repeatable mistakes. Dodge them early and your inflation shield stays intact.

  1. Waiting for “extra” money to fund a 529. Inflation never pauses. Starting fifty dollars a month today beats five hundred dollars a year from now once compounding and rising tuition kick in.  
  2. Treating the age-based glide path as set and forget. Plans rely on averages, not your child’s exact start date. Review the mix each spring; adjust if the equity share feels too timid or too bold.  
  3. Parking big balances in cash years before college. Cash loses roughly three to four percent of purchasing power in a typical inflation year. Keep only the next twenty-four months of expenses in a high-yield account; invest the rest.  
  4. Ignoring state tax perks. Thirty-four states, plus Washington, DC, offer a deduction or credit for 529 contributions. Skipping it is like leaving a small scholarship on the table.  
  5. Thinking calculators are one and done. Update figures annually. If tuition jumps or returns lag, a quick recalculation exposes the gap while the fix is still painless.

Your action checklist

  1. Buy this year’s I bonds. Open (or sign in to) TreasuryDirect and schedule up to 10,000 dollars per person before December 31.  
  2. Compare prepaid options. In one sitting, check your state plan or the Private College 529 network to see if locking tuition now fits your child’s likely path.  
  3. Review your 529 allocation. If you have less than ten to fifteen percent in an inflation-protected option (TIPS fund), shift that slice today.  
  4. Run a fresh calculator check. Feed in the latest College Board tuition-inflation figure, then raise your auto-contribution to the new target. Schedule this recalculation every April.  
  5. Fund next-year cash. Set a calendar alert to move one semester of costs into a high-yield savings or 529 money-market twelve months before each bill.  
  6. Plan Roth rollovers. Note your 529’s opening date; once it turns fifteen years old, move up to the annual Roth limit (7,000 dollars for 2025) each January until you reach the 35,000-dollar lifetime cap.  
  7. Give deposits a raise. Every January 1, increase your monthly contribution by last year’s published tuition-inflation rate (see the College Board’s Trends in College Pricing report).

A clear seven-step roadmap turns high-inflation college planning into a manageable to-do list

Work through the list in order; each action strengthens the next, creating a layered defense against rising college costs.

Why the Best Gen AI Champions are Hiding in Plain Sight

E-commerce seller activating AI-powered automation system on digital tablet, surrounded by cloud computing and logistics icons, for intelligent inventory management and streamlined fulfillment process

By Dr. Gleb Tsipursky

Integrating Generative AI (Gen AI) into organizational workflows offers transformative potential, yet the transition often encounters skepticism and resistance. One effective strategy to mitigate these challenges is leveraging early adopters—team members who enthusiastically embrace new technology—to facilitate communication, boost efficiency, and drive adoption. By empowering these champions, organizations can establish a peer-driven communication model that reduces fear, fosters trust, and accelerates the learning curve.

Why Early Gen AI Champions Are Key to Rollout Success

Early adopters are not just users of new technology; they are multipliers of its potential. By advocating for Gen AI within their teams, these individuals influence adoption rates and attitudes across the organization.

Early adopters are not just users of new technology; they are multipliers of its potential.
  • Building Trust and Relatability: Colleagues often perceive early adopters as credible because they experience the same organizational dynamics. Their firsthand demonstrations of Gen AI benefits—such as faster workflows or enhanced accuracy—resonate more deeply than theoretical presentations from leadership. For example, in a healthcare company, an early adopter showed how Gen AI reduced paperwork errors, directly impacting patient outcomes. This kind of practical, relatable evidence builds trust.
  • Encouraging a Collaborative Culture: By acting as mentors and addressing concerns in real time, early adopters foster an environment of mutual learning. A team member struggling with integrating Gen AI into their workflow can turn to a colleague champion for tailored advice, reducing frustration and building confidence.
  • Driving a Bottom-Up Adoption Model: Involving early adopters sends a message that employee voices matter in the adoption process. This inclusive approach boosts engagement, as workers feel more involved in shaping how technology integrates into their routines. A study by LTIMindtree reported in Forbes highlights that organizations with strong peer-driven adoption models see 40% cost savings.

Client Case Study: A Retail Company’s Gen AI Transformation

In one consulting engagement, I worked with a mid-sized retail company aiming to implement Gen AI for inventory management and customer service. The company’s goals included reducing overstock, improving customer experiences, and automating routine tasks. However, the workforce initially resisted the changes, citing fears of job loss and complexity in using Gen AI tools.

First, we used surveys and focus groups to identify staff concerns about the changes, and we also used these tools to identify 15 early adopters from various roles, including store managers, warehouse staff, and customer service representatives. These individuals were known for their openness to innovation and held influence among their colleagues, and all of them used Gen AI in their personal lives, with many also using it in their work. Their diverse perspectives ensured the initiative addressed the needs of different departments.

Next, we invested in comprehensive training for the champions. This included:

  • Gen AI Tool Mastery: A hands-on understanding of how to use the new tools effectively. That included uncovering best practices from those early adopters already using Gen AI tools in their job at that company, and sharing these best practices. Likewise, I brought in my experience of use cases from other retail company clients. Together, we developed a toolkit of use cases most relevant to this company and its individual departments and roles.
  • Communication Strategies: Training on how to explain benefits, address concerns, and present success stories in relatable terms.
  • Access to Resources: Providing step-by-step guides and direct access to experts for troubleshooting.

Then, after the champions experimented with these tools for a month, we launched peer-led initiatives, as part of a broader communication and education campaign for Gen AI rollout. The champions helped facilitate a range of activities to support adoption, such as:

  • Workshops and Demonstrations: Hosting informal sessions to showcase how Gen AI optimized tasks like inventory forecasting and customer query management.
  • One-on-One Mentoring: Offering tailored support to colleagues struggling with the technology.
  • Sharing Quick Wins: Regular updates highlighting efficiencies gained through Gen AI to build momentum.
  • Public Recognition: We publicly recognized, praised, and celebrated early Gen AI adopters, through highlighting them in the company newsletter, at town halls, and through innovation awards.

Within six months, the organization achieved:

  • 70% Adoption Rate: A majority of employees actively used Gen AI tools.
  • Improved Operational Efficiency: Inventory management accuracy increased by 25%, and customer service resolution times dropped by 30%.
  • Enhanced Employee Morale: Staff transitioned from apprehension to enthusiasm, seeing Gen AI as an enabler rather than a threat.

This case underscores the power of leveraging early adopters to drive technological change.

How to Maximize the Impact of Gen AI Champions

Organizations aiming to replicate these successes should follow a structured approach to empower their Gen AI champions.

  1. Select the Right Champions: Identify individuals who are enthusiastic about technology, respected by their peers, and adept at communicating. Consider representatives from multiple departments to ensure broad relevance.
  2. Invest in Comprehensive Training: Equip early adopters with a thorough understanding of Gen AI tools, as well as the skills to teach and advocate for them. Provide ongoing access to resources and experts.
  3. Encourage Peer-Led Learning: Support early adopters in hosting workshops, one-on-one mentoring, and informal “lunch-and-learn” sessions. Create opportunities for them to demonstrate real-world applications of Gen AI.
  4. Promote Success Stories: Highlight early wins achieved through Gen AI. Encourage champions to share personal anecdotes and practical examples of how the tools have made their work more efficient or rewarding.
  5. Recognize Contributions: Acknowledge the efforts of early adopters publicly to reinforce their value and encourage others to embrace the technology.

The Bigger Picture: Building a Culture of Innovation

Gen AI offers extraordinary potential, but its success depends on more than the technology itself.

Leveraging early adopters is not just a tactical move; it’s a strategic approach to fostering a culture that embraces innovation while ensuring risk management. By involving employees at every level in Gen AI adoption, organizations can break down resistance and build a workforce that sees change as an opportunity rather than a threat.

  • The Role of Leadership: Leadership plays a critical role in supporting early adopters. By providing them with the necessary tools and autonomy to lead, managers signal their commitment to a collaborative and inclusive transition.
  • Future-Proofing the Workforce: As technology continues to evolve, the skills and confidence gained from Gen AI adoption will prepare employees for future changes. Early adopter programs create a template for rolling out other innovations, ensuring the organization remains agile and competitive.

Key Takeaways

Gen AI offers extraordinary potential, but its success depends on more than the technology itself. The people within the organization—especially early adopters—are the true drivers of meaningful change. By empowering these champions to lead the way, businesses can create a ripple effect of trust, collaboration, and enthusiasm that ensures a smoother, more successful transition.

About the Author

Dr. Gleb TsipurskyDr. Gleb Tsipursky PhD, serves as the CEO of the hybrid work consultancy Disaster Avoidance Experts and authored the best-seller Returning to the Office and Leading Hybrid and Remote Teams. He was named “Office Whisperer” by The New York Times for helping leaders overcome frustrations with Generative AI. He serves as the CEO of the future-of-work consultancy Disaster Avoidance Experts. Dr. Gleb wrote seven best-selling books, and his two most recent ones are Returning to the Office and Leading Hybrid and Remote Teams and ChatGPT for Leaders and Content Creators: Unlocking the Potential of Generative AI. His cutting-edge thought leadership was featured in over 650 articles and 550 interviews in Harvard Business ReviewInc. MagazineUSA TodayCBS NewsFox NewsTimeBusiness InsiderFortuneThe New York Times, and elsewhere. His writing was translated into Chinese, Spanish, Russian, Polish, Korean, French, Vietnamese, German, and other languages. His expertise comes from over 20 years of consultingcoaching, and speaking and training for Fortune 500 companies from Aflac to Xerox. It also comes from over 15 years in academia as a behavioral scientist, with 8 years as a lecturer at UNC-Chapel Hill and 7 years as a professor at Ohio State. A proud Ukrainian American, Dr. Gleb lives in Columbus, Ohio.

The Russia-Ukraine War: Implications for Economic Security

Russia and the US in Ukraine and the Middle East. Ukraine crisis map.

By Dr Simon Ashley Bennett

The article explores the link between geopolitics and economic performance in the context of the Russia-Ukraine war. It argues that, if the conflict is to be ended on terms favourable to Ukraine, and the world economic system restored to its pre-war equilibrium, Europe must lead the ceasefire negotiations.

The gathering storm

Wars have a habit of re-ordering the world economic system, with some nations gaining and others losing. While the Second World War enriched the United States, it nearly bankrupted the United Kingdom, with the country’s national debt rising from £760 million to £3,500 million. Following the cessation of hostilities, Britons suffered almost a decade of rationing and austerity.

The Second World War confirmed the Twentieth Century as The American Century. Like the Second World War, the Russia-Ukraine war is restructuring the world economic system. Two economic blocs have emerged. One bloc serves the interests of states organised along authoritarian lines, for example, Russia, China, Iran, North Korea and Venezuela, the other serves the interests of states organised along democratic lines, for example, France, Germany, Australia and the United Kingdom. Global ideological polarisation, expressed in proxy wars such as that being fought in Ukraine, has fostered economic polarisation.

It is predicted in some quarters that Europe will find itself at war with Russia in the next five to ten years, possibly over the Baltic states, which Russia covets. Mark Rutte, NATO Secretary General, has issued a stark warning: “We are Russia’s next target …. Russia has brought war back to Europe, and we must be prepared for the scale of war our grandparents … endured”. By rehabilitating Putin – witness Trump’s sycophancy during the August, 2025 Alaska summit – Washington has increased the likelihood of a wider European war. It is interesting to note how America’s recently-published National Security Strategy studiously avoids criticising Russia. Should a wider European war come to pass, the world economic system will receive its biggest jolt since the 1939-45 war. It goes without saying that Europe will again be the biggest loser. Economies will be significantly degraded.

A new world order?

There is little doubt that America’s neutralism (that borders on amorality) is encouraging Putin, perhaps to the point where he feels he can attack western Europe with impunity. The origins of America’s neutralism lie first, in a rejection of so-called forever wars, such as the Afghan and Iraq wars, and secondly in Donald Trump’s world view and mind-set. Understanding Trump is the key to understanding today’s chaotic world.

As I explain in my 2025 book The Russia-Ukraine War – Security Lessons, Trump, who some consider an authoritarian, is drawn to strong leaders who are prepared to go to any lengths to get what they want. Regarding the protagonists in the Russia-Ukraine war, Trump’s sympathies lie not with Zelensky but with Putin. Trump has, since returning to office, effectively aligned the United States with Russia. This has not gone unnoticed, with Zelensky claiming that the United States “Present[s] the Russian side’s perspective … they relay Russia’s signals, demands, steps and indications of readiness, or lack thereof”.

Trump practices a cold Realpolitik that eschews morality for economic and political aggrandisement. As Romania’s president, Nicușor Dan, observes: “We [have] shifted from a – in some sense – moral way of doing things to a very pragmatic and economical way of doing things”. Given the fact that the US and Russia are now aligned, it is reasonable to conclude that any security guarantees offered to Ukraine by the United States will be worthless. America is not to be trusted.

Security guarantees – the truth

Security guarantees have a chequered history. The security guarantee extracted by British Prime Minister Neville Chamberlain from Adolf Hitler proved worthless. Hitler signed the Munich Agreement in 1938 only to invade Poland in 1939. In the final analysis, security flows not from security guarantees but from military hardware and the will to use it. Security flows from boots on the ground.

Given Trump’s perfidy only Europe can guarantee Ukraine’s security. Europe must negotiate a peace treaty that sees European peacekeepers – armoured brigades supported by warplanes based in Ukraine – deployed to the Donbas to defend the current line of contact. Ukraine should not be required to cede any land to Russia. It should defend those areas of the Donbas still under its control and negotiate the return of those areas illegally occupied by Russia. Only if Ukraine’s 1991 borders are restored can Kyiv, Paris, Berlin, London and Europe’s other capitals rest easy.

A chronically unreliable ally

America is an unreliable ally. It was late to the fight in both the Great War and the Second World War. Despite the fact that British scientists were involved in the Manhattan Project (that saw the United States detonate the first atomic bomb) Washington refused to share its nuclear secrets with Britain post-war. During the Vietnam War, Washington proposed a settlement that allowed insurgent North Vietnamese troops to remain in South Vietnam, against the wishes of South Vietnam’s elected government. In the Doha Agreement of 2020, Washington handed Afghanistan to the Taliban, a duplicitous Islamist terror group, behind the back of Afghanistan’s elected government. Today, the Americans are willing to accept Russia’s illegal occupation of circa 20% of sovereign Ukrainian territory, thereby rewarding Russian aggression.

America forfeited its moral authority and traction over Europe when Trump rolled out the red carpet for Putin in Alaska. Europe’s failure to cut Trump adrift at that low ebb has led us to the current impasse. Europe must create its own Realpolitik. It should:

  • stop humouring Trump. Obsequiousness invites contempt, as evidenced by Washington’s hostile characterisation of Europe in its National Security Strategy
  • insist that it and Ukraine lead the peace negotiations with Russia
  • ensure that Europe has the men and matériel to sustain an army capable of eliminating the Russian army in the field. That will get Putin’s attention
  • admit Ukraine to both the EU and NATO
  • frame the United States as a partially, if not a fully lapsed ally.

A wider European war would plunge the global economy into turmoil. To avoid it Europe must act unilaterally. The Pax Americana is dead. Trump will not honour America’s NATO Article 5 commitment. Europe must equip itself militarily to act independently of the United States. It must frustrate Putin’s militarised colonialism by arming itself to the point where it is indigestible to him. Free Europe must transform itself into a steel porcupine. Quickly.

About the Author

Dr BennettDr Simon Ashley Bennett teaches risk management at the University of Leicester, England. He researches the social, economic and political origins of risk, including groupthink, political instability and armed conflict. His recent books include Atomic Blackmail? (Libri Publishing) and The Russia-Ukraine War – Security Lessons (Peter Lang International Academic Publishers). 

Trend vs Range: The Market Regime Question That Determines Whether a Trade Has Edge

trend vs range market regimes
Photo by Hanna Pad on Pexels

Trend vs range is not technical analysis, it’s decision quality

The most expensive trading mistake is not a “bad entry.” It’s entering the wrong kind of market with the wrong expectations. A trend-following approach can bleed in a range. A mean-reversion approach can get steamrolled in a clean continuation. And in transitional regimes, almost everything underperforms, not because strategies are flawed, but because the market isn’t paying for conviction.

This is why professional traders quietly obsess over a single question before they care about setups:

Is the market in a trend regime or a range regime, and is that regime stable enough to trade?

If you skip this question, you end up doing what most participants do: trading movement, then blaming execution when that movement fails to follow through.

The two regimes that matter (and the third that hurts you)

Most markets spend time in three practical states:

1. Trend regime: progress is measurable

A trend regime is not “price moving.” It’s price making net progress over time. You see:

  • Breaks that hold instead of instantly reclaiming
  • Pullbacks that respect structure instead of slicing through it
  • Continuation that doesn’t require constant correction

In trend regimes, you can be imperfect and still be right often enough to survive, because the environment supports follow-through.

2. Range regime: rotation is the edge

Range regimes aren’t “bad.” They’re just different. The market is rotating rather than progressing. You see:

  • Levels repeatedly tested and defended
  • Moves that reverse back into the box
  • “Breakouts” that frequently fail and return

A range can pay very well — but only if you trade it as a range. Trend logic inside a range is how traders get chopped.

3. Transitional regime: movement without payoff structure

This is the regime traders confuse with opportunity. Transitional conditions are where:

  • The market looks like it’s about to trend, but doesn’t
  • Range behavior breaks down, but trend behavior doesn’t stabilize
  • Timeframes disagree and narratives flip every hour

Transitional regimes are where decision load explodes: more checking, more entries, more re-entries, and more “maybe this time.” This is where consistency dies.

The fastest way to detect regime (without overcomplicating it)

You don’t need ten indicators to determine regime. You need a few observable behaviors.

A simple “progress test”

Ask:

1. Do breaks hold?

Or does price reclaim immediately?

2. Do pullbacks behave?

Or do they whipsaw through key areas?

3. Is there net progress after the impulse?

Or does it stall and drift back?

If the answer is “reclaim, whipsaw, stall,” you don’t have a clean trend regime — you have churn.

The structure test (range vs trend)

  • If price repeatedly returns to a midpoint and fails to expand: likely range
  • If price repeatedly establishes new territory and holds it: likely trend
  • If it alternates between both behaviors: transitional (stand down)

These are not abstract ideas. They are environment filters: they determine whether your next trade is a real opportunity or an unnecessary decision.

Why most traders lose in ranges (and think it’s bad luck)

In a range, the most common loss pattern is:

  • A breakout looks clean
  • The trader enters
  • Price returns into the range
  • The trader re-enters because “the setup still looks valid”
  • The market repeats the same rotation and the trader gets recycled

This isn’t bad luck. It’s regime mismatch. The range did exactly what ranges do: rotate, trap trend logic, and punish impatience.

Why trend attempts fail: “right direction” but wrong timing layer

Trend attempts often fail for a different reason: timeframe mismatch.

A lower timeframe can look directional while the higher context is still:

  • rotating,
  • fading the move,
  • or compressing.

That mismatch produces a fragile trend attempt — the kind that moves “just enough” to tempt entries, then resets and forces correction. In those conditions, traders either hesitate too long or jump too early, and both lead to the same outcome: frustration and overtrading.

The decision rule that fixes 80% of this

If you want one rule that improves consistency fast:

Only trade when the regime you think you’re in is stable enough to keep paying.

In practice:

  • If you can’t tell whether it’s trend or range, it’s not a trade — it’s a question.
  • If the market keeps switching behavior (break → reclaim → break → reclaim), it’s not a setup problem — it’s a regime problem.
  • If you need constant management to survive, you’re paying the wrong environment.

This is why elite traders treat “no trade” as an active decision, not a passive one.

A practical framework: decide regime first, then choose what you’re allowed to do

Instead of asking “what’s the best entry,” do this:

  1. Classify the regime: trend / range / transitional
  2. Select the only valid playbook for that regime
  3. Stand down if transitional dominates

If you want a clean, structured guide you can reference quickly, use this:

trend vs range market regimes

Final thought: your edge is not prediction, it’s selection

Markets don’t pay for activity. They pay for disciplined participation in the right conditions.

Most traders want a better trigger. Professionals want a better filter.

When you internalize the trend vs range question as a gate, you stop donating attention and risk to environments that don’t reward them — and you become dramatically harder to shake out.

ICE Linked Shootings Spark Protests And National Guard Response In Cities

Protests And National Guard Response In Cities

Tensions flared across multiple U.S. cities as protests, police investigations and political disputes followed two separate shootings involving federal immigration agents this week. Demonstrations erupted in Minneapolis after an ICE agent fatally shot a woman, while a Border Patrol shooting in Portland sent two people to the hospital, further intensifying national concern over the use of force by federal authorities.

In Minnesota, protesters gathered just blocks from the site where an Immigration and Customs Enforcement agent shot and killed a woman earlier this week. Minnesota Governor Tim Walz authorized the state’s National Guard to assist local law enforcement after a day of demonstrations in Minneapolis and nearby areas. Officials said the move aims to maintain public safety as emotions remain high.

At the same time, authorities in Portland, Oregon, confirmed that two people were shot by a U.S. Border Patrol agent on Thursday and remain hospitalized. The Portland Police Bureau said the incident has added to growing unease nationwide following the Minneapolis shooting. Portland Police Chief Bob Day acknowledged “heightened emotion and tension” across the country and urged residents to remain calm as investigators work to establish the facts.

Federal and state officials are now publicly at odds over the Minneapolis case. ICE and the Trump administration have described the shooting as an act of self defense, a claim disputed by state and local authorities. A Minnesota state agency said it has been blocked from accessing key evidence needed to conduct a joint investigation, raising further questions about transparency and oversight.

Meanwhile, details are still emerging about the Portland shooting. According to the Department of Homeland Security, U.S. Border Patrol agents were “conducting a targeted vehicle stop” at about 2:19 p.m. PT, DHS Assistant Secretary Tricia McLaughlin said in a statement. Roughly five minutes later, at 2:24 p.m., officers responded to reports of a man and a woman who had been shot near Northeast 146th Avenue and East Burnside. Both victims were transported to a hospital, authorities said.

A preliminary investigation indicates that the two individuals were shot at an initial location before driving away, according to a senior law enforcement source. Portland police later confirmed that shots fired by federal agents left two people injured.

McLaughlin said the driver of the vehicle is believed to be a member of the Tren de Aragua gang. She added that the passenger, who was also the target of the stop, was a Venezuelan migrant “affiliated with the transnational Tren de Aragua prostitution ring and involved in a recent shooting in Portland.” A senior law enforcement source said the two victims are husband and wife.

According to that source, the husband was shot in the arm while the wife suffered a gunshot wound to the chest. Officials have not released updated information on their conditions.

The FBI has taken over the investigation into the Portland incident. The FBI’s Portland office described the shooting as “an assault on … federal officers.” Multnomah County District Attorney Nathan Vasquez said at the scene that ensuring a full and thorough investigation is the immediate priority.

The Portland shooting unfolded as scrutiny of federal immigration enforcement intensified following the Minneapolis death. In Minnesota, state and local leaders have challenged the federal government’s account, saying key questions remain unanswered about the circumstances leading up to the fatal shooting.

Civil rights advocates and community groups have also called for independent investigations in both cases, arguing that public trust depends on clear and credible findings. Protest organizers in Minneapolis said demonstrations will continue until authorities release more information and ensure accountability.

As investigations move forward in both states, officials have warned that tensions may remain elevated. Law enforcement leaders in multiple cities have urged the public to allow the legal process to play out while emphasizing the need to prevent further violence.

For now, the two shootings have placed federal immigration agencies under renewed national scrutiny, with protests, political friction and multiple investigations shaping a rapidly developing story.

Related Readings:

Trrump - Concept of American opinion

Social experiment in New York city

 

Monopoly Capitalism and the Concentration of Capital in Production and Digital Technologies

Monopoly Capitalism and the Concentration of Capital in Production and Digital Technologies

By Dr. Kalim Siddiqui

This article examines the structural dynamics of monopoly capitalism, tracing its evolution from national industrial concentration to global digital-finance monopolies. Drawing on Marxist critiques, Dr Kalim Siddiqui analyses how intangible assets, credit systems, and transnational corporations concentrate economic power, suppress competition, increase monopolisation, exacerbate inequality, and constrain innovation. The study underscores the political and economic implications of monopoly capital, highlighting its role in stagnation, financialisaton, and democratic erosion.

I. Introduction

Monopoly capitalism denotes an economic order characterized by the dominance of oligopolistic and monopolistic firms within industrial structures. In advanced economies, industrial concentration has risen substantially, driven predominantly by mergers and acquisitions. Industrial economics conventionally measures such trends through the structure–conduct–performance (SCP) paradigm. Kalecki reformulated this relationship around the concept of the “degree of monopoly,” positing that price–cost margins are determined by market power rather than competitive conditions. Within this framework, margins reflect factors such as industrial concentration, collusion, and barriers to entry—including economies of scale and marketing advantages.

This internalization of trade shifts bargaining power decisively, as the constant threat of relocation disciplines labour and exerts persistent downward pressure on wages.

This study develops a structural analysis of advanced capitalist economies by integrating theories of monopoly capitalism, capital concentration, and globalization. It argues that contemporary industrial concentration is not a transitory or efficiency-led phenomenon but a systemic outcome of capital accumulation, propelled by scale economies, technological change, and corporate strategy. Through an examination of the interplay between globalization, corporate power, and sectoral concentration, the analysis demonstrates how monopolistic tendencies erode competitive dynamism, distort the direction of innovation, and amplify systemic fragility. Ultimately, I intend to reconceptualizes market outcomes not as products of impersonal forces, but as results of transnational corporate strategy, embedded within political-economic processes that reinforce dominance across global value chains.

Modern banking emerged historically from the concentration of loanable money-capital, first extending credit to merchants and traders, and later to industrial capitalists. This system embodies a dual centralization: of money-capital itself, and of borrowing entities. Banks profit from the differential between deposit and lending rates—a core mechanism of financial intermediation.

The rise of financialisation, however, represents a decisive shift from this traditional model. It is defined by several structural transformations: industrial capital has markedly reduced dependence on bank lending; banks have aggressively expanded household credit; and households have become deeply integrated into the financial system, both as debtors and as asset-holders.

This evolution aligns with the analysis of Paul Sweezy, who described “mature capitalism” as a monopolistic system that generates an ever-expanding economic surplus. According to him, the productive sphere becomes increasingly unable to absorb this surplus, leading to tendencies toward economic stagnation and rising inequality within advanced capitalist economies. Ultimately, these developments were facilitated by a new social structure of accumulation. Under this framework, the state gradually withdrew not only from direct economic activities but also from its role as a provider of essential public services—including education, healthcare, and social welfare—thereby accelerating the economy’s dependence on financial institutions (Siddiqui, 2023).

This financial dependence emerged in tandem with the neoliberal paradigm. Since the 1980s, neoliberal policies promoting liberalization, deregulation, and privatization have displaced the earlier Keynesian national models. In practice, these policies have fostered not competitive markets but a system of transnational monopoly capitalism, characterized by dominant multinational corporations, rise of foreign direct investment, and consolidated global supply chains. This configuration marks a distinct historical shift, one that differs fundamentally from earlier economic structures—a divergence exemplified, for instance, by the historically limited role of trade in the United States (US) compared to that of the United Kingdom (UK). (Sawyer, 2022)

Concurrently, in the absence of powerful investment stimuli—such as historic technological breakthroughs like the automobile or huge government spending—advanced capitalist economies have grown increasingly dependent on financialization to sustain profits. While this shift has provided a temporary respite from stagnation, its inherent instability—evident in recent financial market turbulence—reveals it as an unsustainable solution. This financial dependence emerged alongside the neoliberal paradigm, which since the 1980s has displaced Keynesian national models through liberalization, deregulation, and privatization (Sawyer, 2022).

Contemporary globalisation has driven a marked expansion of international trade and foreign direct investment (FDI), alongside a far-reaching reorganisation of production through global supply chains. Although the 2008 global financial crisis temporarily slowed these trends, the global stock of FDI rose from 9 per cent of GDP in 1990 to nearly 44 per cent in 2024. Over the same period, market concentration has deepened in information and communications technology (ICT) sectors, while financialisation has continued to intensify (Siddiqui, 2024a).

The contemporary phase of globalization, characterized by unprecedented corporate concentration and the rising structural power of transnational firms, has demonstrably failed to serve the broader global interest. Instead of delivering widely shared prosperity, it has generated a suite of systemic pathologies: weakened market competition, geographically skewed innovation, rising socioeconomic inequality, and a marked erosion of national policy autonomy. These outcomes fundamentally challenge the dominant narrative that equates globalization with gains in efficiency and inclusive growth, necessitating a critical reassessment of the global economic order.

Within the advanced capitalist economies, these monopolistic tendencies are amplified by the dual forces of financialization and the specific architecture of contemporary trade. The liberalization of capital and goods flows has enabled dominant firms to reorganize production globally, exploit international labour arbitrage, and manage complex supply chains under centralized corporate control. Concurrently, financial markets actively incentivize further consolidation through mergers, acquisitions, and the relentless pressure to maximize shareholder value.

A critical manifestation of this dynamic is the transformation of global trade itself. Post-liberalization, the sharp rise in trade volumes has been accompanied by a qualitative shift: a substantial portion of global commerce now occurs as intra-firm transactions within multinational corporations. This internalization of trade shifts bargaining power decisively, as the constant threat of relocation disciplines labour and exerts persistent downward pressure on wages. Consequently, contrary to theoretical predictions that globalization would heighten competitive pressures, the prevailing dynamics have consolidated market power, thereby elevating the aggregate degree of monopoly in the global economy.

The Chinese model of development differs from that of advanced capitalist economies but is similarly centred on governance structures. State regulation in China has actively shaped the development of major digital platforms, notably WeChat, operated by Tencent, whose expansion has occurred in close alignment with the techno-nationalist strategy of the Communist Party of China (CPC). This strategy prioritises the protection of national interests in the context of China’s late-developing economy. As a result, Chinese “big tech” firms operate under extensive state oversight (Siddiqui, 2024c).

While many large enterprises in China are state-owned and directly controlled by the CPC, private firms such as Alibaba and Tencent are also subject to significant political control and cannot be regarded as independent. Senior executives of these companies are typically members of the Communist Party and are expected to adhere to its policy priorities and ideological framework. Alibaba, through its affiliate Ant Group under the leadership of Jack Ma, provides a notable example: its planned initial public offering was halted by the Chinese authorities in 2020. This intervention illustrates how the Chinese government ensures that the development of the digital economy remains aligned with broader national objectives.

II. Theoretical Discussions

Adam Smith (1776) emphasised competition and freedom of entry for new entrepreneurs. His conception of competition was dynamic rather than static, viewing it as a process that guides the evolution of markets over time. For Smith, the primary concern of antitrust policy was not monopoly per se, but monopolisation—that is, the extension of market power by firms under the pretext of serving social interests. He was critical of exclusive rights and the institutional arrangements that grant firms monopolistic privileges. More broadly, Smith advocated a reconfiguration of the relationship between society and economic organisation, favouring horizontal relationships among equally motivated economic agents over hierarchical structures characterised by segmented and insulated decision-making.

For Karl Marx, capitalist competition played a historically progressive role in dissolving the guild system and dismantling trade restrictions that had characterised feudal society, thereby enabling the emergence of capitalist social relations. He understood capitalist competition as the negation of feudal monopoly, and equally as the negation of the mercantilist monopolies associated with colonial trade and chartered trading companies—institutions that were the primary targets of Adam Smith’s critique. In this sense, competition was historically constitutive of capitalism itself, clearing the institutional obstacles that constrained the free movement of capital and labour (Marx, 1993).

At the same time, Marx argued that capitalist monopoly does not stand outside or in opposition to competition, but rather emerges from it. The development of capitalism is inseparable from the operation of the laws of capitalist competition, and monopoly arises as an outcome of these laws rather than as their negation. Capitalist monopoly is therefore historically distinct from feudal and mercantilist monopolies, which were rooted in legal privilege, political authority, and exclusive trading rights. By contrast, capitalist monopoly is generated endogenously through accumulation, competition, and the concentration and centralisation of capital.

Marx further distinguished between the processes of concentration and centralisation of capital. Concentration refers to the growth of individual capitals through accumulation, while centralisation involves mergers and acquisitions—what Marx described as the “expropriation of capitalist by capitalist.” Centralisation redistributes existing capital into fewer hands and operates more rapidly and forcefully than concentration alone. It accelerates monopolisation by enabling firms to realise economies of scale, adopt new technologies, and reorganise production on an expanded scale. Both concentration and centralisation are propelled by capitalist competition itself, as firms seek to reduce costs, expand market power, and survive competitive pressures (Marx, 1993).

Capitalism is, at its core, a dynamic economic system driven by the relentless pursuit of private profit, a pursuit concentrated among a relatively small number of wealthy individuals and powerful corporations. Under competitive capitalism, surplus value is redistributed among capitals through the equalisation of profit rates, such that individual capitalists’ appropriate profits in proportion to the capital they have advanced (Siddiqui, 2024b). However, as accumulation proceeds, differences in scale, productivity, and access to technology allow some capitals to claim a larger share of total surplus value. The concentration of capital thus enables dominant firms to appropriate disproportionate gains while remaining formally within a competitive framework (Vasudevan, 2022).

Capitalist development thus creates both the social need and the technical means for the emergence of large monopolies. The drive to increase productivity, reduce unit costs, and command larger shares of the market systematically favours large-scale capital. In this way, monopoly is not an external distortion of capitalism, but a structural tendency generated by accumulation and competition.

This understanding highlights a fundamental difference between Marxist and neoclassical conceptions of monopoly. In neoclassical theory, monopoly power is typically derived from market concentration within a defined market and is analysed primarily through price-setting behaviour. By contrast, the Marxist approach locates monopoly power in the concentration and control of capital itself rather than in market structure alone. Capitalist competition implies that a small number of firms appropriate more surplus value than others, and higher rates of accumulation allow these firms to expand their scale of production and secure cost advantages over smaller competitors.

The mainstream economists account that interprets concentration as a temporary or efficiency-enhancing outcome of technological progress. Instead, it emphasises the systemic consequences of monopoly power, including reduced competitive dynamism, distorted patterns of innovation, and heightened vulnerability to economic instability. It also foregrounds the political dimensions of corporate concentration, particularly the growing influence of large firms over regulatory regimes, trade agreements, and national policy frameworks. In this framework, monopoly is rooted not simply in pricing power, but in control over production, technology, and accumulation processes.

The contemporary behaviour of large corporations reflects a structural logic inherent to monopoly capitalism rather than a series of isolated firm-level strategies. Large firms increasingly pursue a dual and mutually reinforcing objective: the expansion of sales and market share on the one hand, and the maximisation of profitability on the other. While neoclassical theory often treats these objectives as potentially conflicting, within monopoly capitalism they converge over time. Market expansion is not merely a route to higher output but a mechanism for consolidating control over demand, supply chains, and technological standards.

This explains why monopoly power in advanced capitalist economies increasingly manifests through oligopolistic structures rather than through single-firm dominance. Contemporary “monopolies” are often systems of coordinated dominance exercised by a small number of firms that collectively shape market outcomes. In such settings, competition persists, but it is competition among giants rather than among a large number of independent producers. This form of rivalry tends to be expressed through non-price mechanisms—such as control over technology, branding, data, and access to distribution channels—rather than through price competition alone.

The prevalence of oligopolistic dominance across diverse sectors—including technology, transportation, finance, agribusiness, and essential services—indicates that monopoly capitalism should be understood as a systemic condition rather than as a sector-specific anomaly. High levels of concentration are closely associated with rising barriers to entry, declining rates of new firm formation, and a growing divergence in profitability between dominant firms and the rest of the corporate sector. These patterns suggest that monopoly power increasingly functions as a means of redistributing surplus value towards large capital rather than as a temporary outcome of superior efficiency or innovation.

This interpretation stands in sharp contrast to mainstream accounts that attribute market concentration primarily to technological progress or consumer welfare–enhancing efficiencies. While technological change undoubtedly plays a role, it operates within institutional and competitive structures that favour the consolidation of capital. Large firms are uniquely positioned to absorb the fixed costs associated with research and development, data accumulation, and regulatory compliance, further reinforcing their dominance. Innovation, rather than undermining monopoly power, often becomes a mechanism through which it is stabilised and extended.

Moreover, the expansion of monopoly power has significant political and macroeconomic implications. The concentration of corporate power undermines competitive wage dynamics, weakens labour’s bargaining position, and contributes to persistent income and wealth inequality. At the macroeconomic level, monopoly capitalism is associated with slower productivity diffusion, underinvestment in productive capacity, and increased reliance on financialisation and speculative activity as outlets for surplus. These tendencies reinforce the “strategic failures” of the global economy identified earlier, including uneven development, fragile growth, and declining democratic accountability (Siddiqui, 2019).

Financialisation, which has intensified since the 1980s, refers to the expanding role of financial markets, institutions, and motives in both national and international economies. Shareholder value has increasingly dominated corporate strategies, reshaping relations between the financial sector and the rest of the economy. As Sweezy argues, financial capital has become increasingly detached from its supportive role in productive activity and has evolved into a relatively autonomous financial superstructure oriented towards speculative self-expansion, reversing the traditional relationship between the financial and real sectors of the economy (Sawyer, 2022).

The development of the credit system is critical in facilitating and shaping long-term investment patterns in the economy. The availability of funds to financial institutions, and their allocation to profitable sectors, significantly influences employment levels, income distribution, productivity, and overall GDP growth. Credit represents a form of capital that can overcome constraints on capital mobility imposed by fixed capital. Moreover, capital liberalisation associated with globalisation has profoundly altered both the movement of capital and the availability of financial resources within domestic economies and private sectors.

The expansion of the credit system also contributed to the emergence of joint-stock companies, which can be regarded as the institutional predecessors of modern multinational corporations (MNCs). These organisational forms provided an effective mechanism for mobilising large-scale financial resources, enabling firms to exploit economies of scale, increase profitability, and move toward greater concentration and monopolisation within specific industries.

The rise of monopolisation and the growing dominance of contemporary MNCs have important implications for the dynamics of capital accumulation. These trends have been associated with increasing income inequality and a declining share of income accruing to workers, contributing to economic stagnation through weakened aggregate demand and consumption. Monopoly capital is further characterised by the coexistence of collusion and rivalry, alongside a shift toward non-price forms of competition, such as expanded marketing efforts and intensified advertising. Such strategies reflect the capacity of monopolistic firms to rely on institutionally and politically supported market power in order to extract monopoly rents (Sawyer, 2022).

Technological innovation under monopoly capitalism exhibits an inherent bias toward scale-intensive production and centralised control over large-scale operations. Mergers and acquisitions frequently function as mechanisms to suppress potentially disruptive innovations that could promote deconcentration, while simultaneously facilitating the acquisition of intangible assets that further entrench monopolistic power. Despite these tendencies, competitive pressures do not disappear under monopoly capitalism; instead, the compulsion to reduce costs and innovate persists, often intensifying competition among workers and exacerbating labour market precarity.

Critics of monopoly capital theory have argued that the internationalisation of capital—by weakening US hegemony and increasing exposure to foreign trade and capital flows—would undermine monopolistic control. However, recent decades have instead been characterised by increasing concentration and centralisation of capital at the global level, with a shrinking number of corporations controlling a growing share of world markets (Siddiqui, 2025a).

III. Credit, Accumulation, Monopoly Capital, and Digital Dominance

The development of the credit system has been central to shaping long-term investment patterns and transforming the organisation of capitalism. By mobilising and allocating funds toward profitable sectors, credit profoundly influences employment, income distribution, productivity, and overall economic growth. As a form of capital, credit partially overcomes the immobility imposed by fixed capital, thereby accelerating accumulation and concentration. Capital liberalisation associated with globalisation has further intensified these dynamics by expanding cross-border capital flows and increasing the availability of financial resources to dominant firms within domestic economies.

At the same time, contemporary digital monopolies differ in important respects from both classical and early twentieth-century conceptions of monopoly. For classical economists, monopoly was typically understood as arising from production conditions and property rights that restricted the mobility of capital, rather than from oligopolistic competition among a small number of large firms. Adam Smith, for example, emphasised the role of monopoly privileges in sustaining mercantilist systems, particularly the capacity of chartered trading companies to extract extraordinary profits through exclusive trade routes in the late seventeenth century. Monopoly, in this view, was fundamentally linked to barriers to entry and the institutional restriction of competition.

Digital technology has further intensified these dynamics. Platform-based firms, characterised by strong network effects, data accumulation, and high barriers to entry, exhibit structural features that favour monopolisation or oligopolistic dominance. Unlike earlier forms of industrial concentration, digital monopolies derive power not only from control over production and distribution, but also from ownership of data infrastructures, algorithmic systems, and standards that govern market access. These firms increasingly function as gatekeepers, shaping the conditions under which other firms, workers, and consumers participate in economic activity.

By situating contemporary developments in production and digital technology within this broader theoretical context, the study seeks to illuminate the structural forces shaping the current phase of global capitalism. This approach provides the basis for assessing not only economic performance, but also the wider social and institutional implications of concentrated corporate power in the global economy.

Monopoly power in the contemporary economy has increasingly emerged through the strategic exercise of network dominance by digital platforms. This form of power challenges conventional approaches to monopoly that focus narrowly on firm size, market share, or concentration within clearly defined single markets. Platform-based firms operate across multiple, interdependent markets and leverage network effects, data accumulation, and ecosystem integration to entrench dominance. As a result, monopoly power is exercised through control over infrastructures, standards, and access conditions rather than through explicit price-setting alone, rendering traditional antitrust frameworks increasingly inadequate.

The rising returns associated with these forms of monopoly power did not initially take the form of sustained price increases, particularly in the period prior to the 1990s. In part, this reflected the continued presence of antitrust enforcement and the strategic deployment of low or zero prices to accelerate user adoption and reinforce network effects. Over time, however, dominant firms have converted network scale into durable market power, enabling new forms of rent extraction through data monetisation, preferential self-placement, exclusionary practices, and the enclosure of digital ecosystems. In recent decades, this economic power has been accompanied by a marked increase in political influence, as dominant corporations have acquired the capacity to shape regulatory agendas, influence public policy, and set de facto rules governing market participation.

These developments strongly resonate with earlier analyses of monopoly capitalism. Baran and Sweezy (1966) identified the emergence of large corporations and oligopolistic market structures as defining features of a distinct phase of capitalist development. Their analysis emphasised the tendency of surplus generation to outpace profitable investment opportunities, leading dominant firms to rely on market control and strategic behaviour rather than competitive efficiency. While their focus was primarily on industrial production, contemporary advances in information and digital technologies have intensified these tendencies by creating new mechanisms for consolidating and extending monopoly power. Digital platforms enhance economies of scale and scope while simultaneously increasing barriers to entry, thereby accelerating the concentration and centralisation of capital anticipated in earlier theoretical work.

This conception was later formalised within neoclassical economics, most notably by Marshall, who defined monopoly as a market structure characterised by a single seller exercising market power by restricting output and charging prices above competitive levels. While this framework became central to antitrust theory, it rests on assumptions—such as clearly defined markets, price competition, and observable output restrictions—that are increasingly ill-suited to analysing platform-based capitalism. Digital monopolies often expand output, lower prices, or provide services at zero monetary cost, while simultaneously exercising control over market access, data flows, and competitive conditions.

The political implications of these developments are substantial. The growing concentration of economic power in digital platforms has eroded the capacity of states to regulate markets effectively, particularly in areas such as competition policy, taxation, labour standards, and data governance. Through lobbying, regulatory capture, and the strategic exploitation of jurisdictional fragmentation, dominant firms are increasingly able to shape the institutional environment in which they operate. This reinforces asymmetries of power between capital and labour, incumbents and entrants, and firms and states, contributing to broader patterns of inequality and democratic deficit.

In this sense, contemporary digital monopolies represent not merely a new market structure, but a transformation in the relationship between economic power and political authority. Monopoly power is no longer confined to the sphere of production or exchange; it extends into the governance of economic life itself. Understanding these dynamics requires moving beyond narrow market-based definitions of monopoly towards a political-economic analysis that foregrounds power, institutions, and historical context. Such an approach is essential for assessing the systemic consequences of monopoly capitalism in its digital form and for evaluating the prospects for effective regulation and democratic control in the global economy.

The expansion of credit markets historically enabled the rise of joint-stock companies, which constituted the institutional foundations of contemporary multinational corporations (MNCs). These organisational forms facilitated the large-scale mobilisation of capital, allowing firms to exploit economies of scale, increase profitability, and consolidate market power. Over time, this process generated rising levels of industrial concentration and monopolisation, marking a structural transformation rather than a departure from competitive capitalism.

Monopoly power is no longer confined to the sphere of production or exchange; it extends into the governance of economic life itself.

The growing dominance of monopolistic and oligopolistic firms has had profound implications for capital accumulation and macroeconomic stability. Increasing concentration has been associated with rising income inequality and a declining labour share, contributing to weakened aggregate demand and tendencies toward economic stagnation. Monopoly capital is characterised not by the absence of competition, but by a specific configuration of rivalry and collusion, alongside a shift from price competition to non-price strategies such as marketing, branding, and advertising. These strategies rely on institutionally supported market power and enable firms to extract monopoly rents insulated from competitive pressures.

Technological change under monopoly capitalism exhibits a systematic bias toward scale-intensive production and centralised control. Innovation is increasingly oriented toward reinforcing dominant positions rather than fostering competitive entry. Mergers and acquisitions play a critical role in this process, frequently functioning to neutralise potentially disruptive innovations and acquire intangible assets that deepen monopolistic control. While cost reduction and innovation remain imperatives under monopoly capitalism, competitive pressures are displaced onto labour, intensifying worker competition and exacerbating precarity.

In this sense, contemporary monopoly capitalism represents not a deviation from competitive capitalism, but its logical development under conditions of advanced accumulation, globalisation, and digitalisation. Understanding this transformation requires moving beyond narrow antitrust frameworks toward a structural analysis of power, accumulation, and institutional control.

Digital capitalism represents the most advanced expression of these dynamics. Digital monopolies are fundamentally grounded in property rights over intangible capital, including proprietary technologies, data, intellectual property, and branding. Control over these assets enables dominant firms to construct formidable barriers to entry and restrict capital mobility. Between 2018 and 2023, the intangible asset values of Amazon, Google, and Facebook increased by more than 74 per cent, with intangible assets accounting for nearly 87 per cent of their total asset value. Ownership of such assets positions these firms as critical gatekeepers of the digital infrastructures that underpin information flows, communication systems, and commercial activity.

At the global level, Google dominates internet search, Amazon commands e-commerce and cloud-based business services, and Facebook controls key social media platforms. Together, these corporations reached a combined market capitalisation exceeding $3.7 trillion in 2024. Their dominance has been further consolidated through extensive merger and acquisition activity. Over the past two decades, Google has acquired more than 260 companies, Amazon over 100, and Facebook 63 firms since its founding in 2004. These acquisitions reflect both strategic expansion into new markets and systematic efforts to undermine potential competition. High-profile cases such as Facebook’s acquisitions of Instagram and WhatsApp and Amazon’s purchase of Zappos exemplify how corporate concentration is actively reinforced through institutional and financial mechanisms.

Taken together, these developments illustrate how monopoly capitalism in its digital form is sustained through the interaction of credit systems, intangible property rights, and corporate consolidation, generating far-reaching economic and political consequences in the contemporary global economy. At the global level, there has been a pronounced increase in concentration across the communications, information technology (IT), and media industries, alongside significant merger and consortium activity in formerly public utilities that have undergone privatisation. While these sectors are often portrayed as having been opened to intensified global competition through rapid technological change, mounting evidence suggests that a small number of large corporations are instead emerging as dominant actors at the global scale.

In particular, the provision and servicing of global IT networks increasingly appears to be controlled by only two or three major service providers operating across multiple industries. This concentration reflects not only technological advantages but also strategic control over standards, platforms, and complementary services. Microsoft’s long-standing dominance in software and computer operating systems, for example, has been a persistent source of concern for both US and EU antitrust authorities. Similarly, Google’s near-monopoly position in global internet search has raised significant regulatory and competitive concerns, highlighting the limits of existing competition frameworks in addressing platform-based market power (Siddiqui, 2025b).

Significant consolidation has also occurred within telecommunications, where global consortia and strategic alliances emerged prominently from the late 1990s onwards. This period witnessed a wave of mergers and cross-border partnerships involving the world’s largest telecommunications firms, reinforcing concentration at both national and international levels. These developments are particularly noteworthy given that information and communication technologies were initially regarded as forces capable of undermining monopoly power by lowering entry barriers and decentralising production. Instead, technological change has largely been absorbed into existing structures of accumulation, reinforcing monopolistic control rather than dissolving it.

The contemporary global economy is increasingly characterised by high levels of corporate concentration, the dominance of multinational corporations (MNCs), and the growing importance of digital platforms. While mainstream economic perspectives often treat monopoly power as an aberration from competitive markets, this article argues that monopoly capitalism represents a systematic outcome of capitalist development itself. In particular, the interaction between credit systems, globalisation, and intangible capital has reshaped the organisation of production and competition, giving rise to new forms of monopoly power with far-reaching economic and political consequences.

The development of the credit system has played a central role in shaping long-term investment patterns and transforming capitalist accumulation. By mobilising savings and directing funds toward profitable sectors, credit influences employment, income distribution, productivity, and overall economic growth. As a form of capital, credit partially overcomes the immobility imposed by fixed capital, accelerating accumulation and enabling the concentration of economic power.

Capital liberalisation associated with globalisation has further intensified these processes by facilitating cross-border capital flows and expanding access to financial resources for large firms. Historically, the expansion of credit markets enabled the emergence of joint-stock companies, which provided the organisational foundations for modern MNCs. These firms were able to mobilise large volumes of capital, exploit economies of scale, and consolidate market power across national boundaries.

The rise of monopolisation should be understood as a structural transformation of capitalism rather than a departure from competition. Increasing concentration has been associated with rising income inequality and a declining labour share, contributing to weakened aggregate demand and tendencies toward economic stagnation (Siddiqui, 2018). Monopoly capital is characterised by a specific configuration of rivalry and collusion, alongside a shift from price competition to non-price strategies such as branding, marketing, and advertising.

Under monopoly capitalism, technological innovation is increasingly oriented toward reinforcing dominant market positions rather than facilitating competitive entry. Mergers and acquisitions serve as key mechanisms in this process, frequently neutralising potentially disruptive innovations and consolidating control over strategic assets. While the imperative to reduce costs and innovate persists, competitive pressures are increasingly displaced onto labour, intensifying worker competition and labour market precarity.

Digital capitalism represents the most advanced expression of monopoly capitalism. Digital monopolies are grounded in property rights over intangible capital, including proprietary technologies, data, intellectual property, and branding. Control over these assets enables dominant firms to construct formidable barriers to entry and restrict capital mobility.

Between 2018 and 2023, the intangible asset values of Amazon, Google, and Facebook increased by more than 74 per cent, with intangible assets accounting for nearly 87 per cent of their total asset value. Ownership of such assets positions these firms as critical gatekeepers of digital infrastructures underpinning information flows, communication systems, and commercial activity. At the global level, Google dominates internet search, Amazon controls large segments of e-commerce and cloud services, and Facebook exercises substantial power over social media ecosystems.

These positions have been reinforced through extensive merger and acquisition activity. Over the past two decades, Google has acquired more than 260 companies, Amazon over 100, and Facebook 63 firms since its founding in 2004. High-profile acquisitions such as Facebook’s purchases of Instagram and WhatsApp and Amazon’s acquisition of Zappos illustrate how corporate concentration is actively reproduced through institutional and financial mechanisms.

Beyond digital platforms, there has been growing concentration across communications, information technology (IT), and media industries, alongside significant merger and consortium activity in formerly public utilities following privatisation. Although these sectors are often portrayed as having been opened to intensified competition through technological change, evidence suggests that a small number of global corporations dominate key markets.

The servicing of global IT networks increasingly appears to be controlled by only two or three major providers, reflecting strategic control over standards and infrastructures. Microsoft’s long-standing dominance in software and operating systems has repeatedly attracted scrutiny from US and EU antitrust authorities, while concerns over Google’s near-monopoly in internet search underscore the limitations of existing regulatory frameworks.

Similarly, telecommunications have experienced substantial consolidation since the late 1990s, marked by mergers and strategic alliances among the world’s largest firms. These developments are particularly significant given early expectations that information and communication technologies would erode monopoly power. Instead, technological change has largely reinforced existing structures of accumulation and control.

From a political-economy perspective, the central issue is not simply market concentration but the structural control exercised by large corporations over the conditions of production and exchange. In digital sectors, this control is exercised through ownership of platforms, data infrastructures, and technological ecosystems that function as essential inputs for other firms. Network effects, interoperability constraints, and user lock-in generate self-reinforcing barriers to entry, allowing incumbent firms to maintain dominance even in the absence of explicit collusion or price increases. These mechanisms enable firms to appropriate rents not only from consumers but also from dependent producers, advertisers, and workers operating within platform-controlled environments.

Vasudevan (2022) argues that the rise of modern corporations in the twentieth century harnessed economies of scale and network externalities in ways characteristic of natural monopolies, strengthening capitalism’s capacity to organise and control production while accelerating capital mobility and concentration. The liberalisation of international capital markets extended this process globally, enabling transnational corporations to extract monopoly rents. He further contends that the geographical flexibility of transnational production has weakened organised labour by allowing capital to evade national constraints, contributing to the global decline in labour’s income share since the 1980s and reflecting capital’s enhanced monopoly power over labour (Vasudevan, 2022:1277).

Critics of monopoly capital theory have argued that the internationalisation of capital—by weakening US hegemony and increasing exposure to global trade and capital flows—would reduce monopolistic power. However, recent developments point to the opposite outcome: rising global concentration and centralisation of capital, with a shrinking number of corporations controlling an increasing share of world markets.

Monopoly capitalism displays a persistent tendency towards monopolisation, as firms adopt strategic behaviour to limit competition and deter entry. Cowling and Tomlinson highlight the implications of this corporate power for income distribution and realisation crises, arguing that contemporary capitalism is dominated by oligopolies with substantial market power. The degree of monopoly reflects market concentration, collusion, and demand elasticity, which large firms can influence through advertising and product differentiation, thereby weakening competitive pressures (Cowling and Tomlinson, 2005).

Sawyer (2022:1226) argues that the degree of monopoly provides a framework for understanding income distribution in which power plays a central role, extending beyond product markets to encompass capital’s power over labour. Surplus is divided between profits and managerial rewards. In contrast, neoliberal doctrine presents markets as inherently beneficial, emphasising competition, incentives, deregulation, and the extension of market mechanisms into previously non-market domains. Drawing on Austrian and neoclassical economics, neoliberalism assumes that competitive markets generate efficient and Pareto-optimal outcomes.

IV. Monopoly Power, Competition, and Democracy

The rise of monopolisation has profound implications for the nature of competition and strategic rivalry under contemporary capitalism. Within the industrial economics literature, monopolised and oligopolistic markets are typically characterised by a combination of strategic entry deterrence, tacit or explicit collusion, and persistent price levels above those predicted under competitive conditions. As prices increasingly diverge from competitive benchmarks, monopoly power becomes structurally embedded rather than episodic. These dynamics have significant implications for income distribution between capital and labour and, ultimately, for macroeconomic performance.

Monopolisation tends to raise the aggregate profit share, often at the expense of wages. In practice, a substantial portion of these profits may be absorbed within corporate hierarchies through executive compensation, managerial bonuses, and administrative expenditures, rather than being translated into productive investment. The resulting decline in the wage share contributes to weakened aggregate demand, reinforcing stagnations tendencies identified in monopoly capital and post-Keynesian traditions (Baran and Sweezy, 1966; Kalecki, 1971).

Beyond its economic effects, the expansion of monopoly power raises fundamental questions regarding the compatibility of democracy and freedom within systems of monopoly capitalism. As demonstrated throughout this article, the global economy is increasingly dominated by large transnational corporations whose strategic interests often diverge from broader social and democratic objectives. The concentration of economic power enables these firms to exert disproportionate influence over political institutions, regulatory frameworks, and public discourse, frequently marginalising alternative voices and constraining democratic participation. In this sense, the retreat of democracy has accompanied the rise of corporate concentration.

However, this erosion of democracy should not be understood as a necessary condition for economic efficiency. Contrary to the notion of a trade-off between democracy and performance, greater substantive democracy—understood as enhanced participation, accountability, and collective control over economic decision-making—may contribute to superior economic outcomes. More democratic institutional arrangements can restrain rent extraction, redirect surplus toward socially productive uses, and support more inclusive and stable patterns of growth. From this perspective, the tension between monopoly power and democracy reflects not an efficiency requirement, but a structural feature of advanced capitalism.

Empirical evidence reinforces these claims. Market concentration in advanced economies has increased markedly over the past two decades, particularly within specific industries. Data from the OECD and IMF point to a general shift toward more concentrated market structures, implying rising market power among leading firms. This trend is evident across major advanced economies, including the US, the UK, Japan, and other European countries such as France, Germany, and Italy. Importantly, the increase in concentration has not been uniform across sectors. Industries such as general merchandise retailing, information goods, digital technologies, pharmaceuticals, and banking exhibit especially high and rising concentration ratios.

The business concentration is starkly evident in the US. The telecommunications sector, for instance, is dominated by just four major players, with AT&T and Verizon alone controlling approximately 70 percent of the market. Furthermore, the pinnacle of American capitalism reveals a striking trend toward digital monopoly. The three most valuable companies in the nation are all digital giants—relatively new entities that have achieved extraordinary market dominance. In fact, five of the top eight and twelve of the top thirty-two most valuable U.S. companies are digital powerhouses. Their names are familiar: Alphabet (Google), Microsoft, Apple, Amazon, Meta (Facebook), and Cisco. And, of course, legacy telecom titans like AT&T and Verizon remain firmly entrenched in this elite group, beneficiaries of the same system.

While accounting for international trade can reduce measured concentration in certain manufacturing industries—since import competition expands the effective market—many nationally oriented sectors remain highly concentrated. Utilities, telecommunications, and a range of service industries continue to exhibit oligopolistic or monopolistic structures and often require regulatory intervention. Table 1 indicates the market concentration ratios and trends among some advanced economies for 2024-2025. Market concentration is commonly measured using the N-firm concentration ratio, such as the combined market share of the four or five largest firms (CR4 or CR5), or the Herfindahl–Hirschman Index (HHI). A CR4 exceeding 40 per cent is generally indicative of oligopolistic market structures, highlighting the prevalence of concentrated economic power in contemporary advanced economies.

Table 1: Concentration Ratios and Trends Among Selected Economies for 2024-2025.

Economy/Region  Industry Example Concentration (Approx) Trend
UK Mortgage Lending (2023) CR4: 50.3% Stable/Slight Increase
UK Supermarkets CR5: 74.6% (2025 est.) Increasing (driven by discounters)
US Domestic Airlines (2024) CR4: 68% High Concentration
US Book Stores (2023) CR4: 71% Sharp Increase since 1990s
European Union Average

(all industries)

Share of high concentration industries doubled (16% to 37%) Substantial Increase (since 1998)

Table 2: Five Firm Concentration Ratio of UK’s Supermarkets, 2024-2025 (%).

1. Tesco 28.3
2. Sainsbury’s 15.8
3. Asda 11.6
4. Aldi 10.6
5. Lidl 8.3
Total Five Firm Concentration Ratio of UK’s Supermarkets  74.6

Figure 1: Market Share in UK’s Supermarkets in 2024-2025.

Figure 1: Market Share in UK’s Supermarkets in 2024-2025.

Taken together, these developments underscore that monopoly capitalism reshapes not only market competition, but also income distribution, democratic governance, and macroeconomic stability. Addressing these challenges therefore requires moving beyond narrow antitrust approaches toward a broader political-economy framework capable of confronting the structural concentration of economic and political power.

Concentration ratios measure the proportion of total market output or sales accounted for by the largest firms within an industry. Commonly used indicators include the three-firm concentration ratio (CR3) and the five-firm concentration ratio (CR5), which represent the combined market share of the three or five largest firms, respectively. Concentration ratios are widely employed to assess market structure and the degree of competitiveness within an industry. Figure 1 shows market concertation of only 5 monopolies has a huge concentration of market share in the UK markets (also see Table 2). Higher concentration ratios indicate greater market power among leading firms and a reduced intensity of competition. For example, markets are typically characterised as oligopolistic when the five-firm concentration ratio exceeds 50 per cent, signalling that a small number of firms dominate a substantial share of total market activity.

Kwon, Ma, and Zimmermann (2024) provide a long-run analysis of business concentration in the US, documenting a steady increase in the shares of assets, sales, and net income accruing to the largest firms since the early twentieth century. Using official data on the size distribution of US corporations, Figure 2 illustrates aggregate concentration trends among the largest firms over the period 1918–2018.

Figure 2 shows the shares of the top 1 percent of US corporations on the left panel and the top 0.1 percent on the right. The blue, red, and green lines represent shares of assets, sales, and net income, respectively. Both panels reveal a pronounced upward trend in concentration. Notably, the asset share of the top 1 percent increased by 27 percentage points between 1931 and 2018, reaching 97 percent, while the asset share of the top 0.1 percent rose even more rapidly. Overall, the evidence points to a sustained rise in business concentration in the US economy over the past century (Kwon, et al, 2024).

Figure 2: The Aggregate Concentration Trends among the Largest US Corporations, 1918-2018.

Figure 2: The Aggregate Concentration Trends among the Largest US Corporations, 1918-2018.

The IMF (2021) study underscores these trends, noting that corporate market power has risen in advanced economies and is likely to increase further following pandemic-related bankruptcies. Rising concentration and higher price markups—up roughly one-third—have doubled profitability and are concentrated among a small group of dominant firms. This persistent market power is accompanied by declining business dynamism, including a lower share of activity by young firms and reduced dispersion of growth rates. While not the sole driver of reduced dynamism, increasing corporate power has contributed to these patterns and has moderate negative effects on growth, investment, innovation, and the labour income share.

Taken together, these developments illustrate that monopoly capitalism reshapes not only market structures, but also income distribution, democratic governance, and macroeconomic stability. Addressing these challenges requires moving beyond narrow antitrust approaches toward a structural political-economy framework capable of confronting concentrated corporate power in the contemporary global economy (IMF, 2021).

V. Rise of Monopolies since Globalisation and Radical Critiques

Globalisation and the expansion of international competition initially led many economists to consider monopoly power a declining concern. By the mid-1980s, some observers argued that aggregate concentration in the US economy was rising only slowly, and that industries such as US automakers “surely have far less monopoly power than they did twenty years ago” (Baran and Sweezy, 1966). This perception contributed to decreased attention to monopoly capital in both mainstream and radical economic debates.

However, contemporary confusion surrounding monopoly stems less from theoretical disputes than from an underestimation of globalization’s transformative impact. Influential Marxian political economists—including Paul Sweezy, David Harvey, Dominique Lévy, and Prabhat Patnaik—have explicitly centred globalization and the internationalization of production in their analyses of economic concentration. This focus distinguishes their work from earlier generations of Marxian theorists by directly linking monopoly power to transnational structures.

Building on this foundation, contemporary Marxist economists have continued to advance the monopoly capital framework. Magdoff, for instance, analysed how stagnation under monopoly capitalism facilitated the late-twentieth-century shift toward financialization and the emergence of a monopoly-finance regime. He emphasized that transnational production was reconfiguring the nature of monopolistic rivalry, accelerating the concentration and centralization of capital globally. As Magdoff (1978) observed: “The very process of concentration and centralization of capital is spurred by competition and results in intensifying the struggle among separate aggregates of capital, albeit on a different scale and with altered strategies.”

This perspective underscores that globalization has not rendered the concept of monopoly capital obsolete; rather, it has fundamentally transformed the latter’s operational scale and competitive dynamics. Consequently, it demands renewed analytical focus on the intertwined phenomena of corporate concentration, financialization, and transnational monopolistic competition.

Keith Cowling (1982) extended the monopoly capital framework by highlighting the internationalisation of oligopolies. He argued that global corporate elites formed “smaller, tighter, international oligopoly groups” in which attempts by individual firms to expand market share—through mechanisms such as tariff reductions—would be countered by immediate responses from competitors, sustaining monopoly power in each country. Cowling emphasised that free trade facilitated the growing dominance of transnational corporations, shifting profits away from global labour and smaller firms. Moreover, the expansion of international firms meant that stagnation tendencies in one country were quickly transmitted globally, amplifying the systemic effects of monopoly capitalism.

The post-1980s phase of monopoly capitalism is best described as global monopoly-finance capital, in which economic concentration, financialisation, and transnational production intersect. Samir Amin (2018) highlighted the political and social implications of this phase: the intertwining of oligopolistic capitalism, the political power of oligarchies, financialisation, US hegemony, militarised globalisation, declining democracy, and resource plunder, particularly at the expense of the Global South (Siddiqui, 2025c).

While feudalism and slavery function through overt mechanisms of domination, capitalism has demonstrated a unique capacity for legitimation by framing corporate profit imperatives as vehicles for individual equality and social advancement. It was the seminal contribution of Karl Marx, in Capital, to pierce this illusion. He identified the law of surplus value, revealing that behind the apparent freedom and equity of the market lies the hidden abode of production. There, labourers are compelled to work far beyond the time required to reproduce the value of their wages, generating the fundamental profit upon which the system depends (Amin, 2018).

The task of extending Marx’s critique to contemporary global structures was taken up by Samir Amin. Synthesizing the work of radical political economists—including Michal Kalecki, Josef Steindl, Paul Baran, and Paul Sweezy—Amin reframed Marxian theory for the age of modern imperialism. Central to his analysis is the concept of “imperialist rent,” accrued through the systemic wage differential between the Global North and the Global South for equivalent labour. This disparity is not incidental but structural, underpinning a global system of oligopolistic capitalism in which finance capital commands worldwide production and distribution. (Siddiqui, 2022).

Samir Amin (2018) crucially advanced the theory of economic surplus developed by Baran and Sweezy, reframing it within a globally monopolized system. In his analysis, Marx’s foundational “law of value” is superseded by a “law of globalized value,” a systemic mechanism that institutionalizes the super-exploitation of peripheral labour. His volume, Modern Imperialism, Monopoly Finance Capital, and Marx’s Law of Value, provides a comprehensive examination of this theoretical evolution, constituting an indispensable resource for scholars engaged with contemporary Marxian political economy and its critiques of global capitalism.

Long before its consequences became widely acknowledged, Marxist political economists provided early and rigorous documentation of the inequalities generated by neoliberalism, emphasizing the constitutive roles of financialisation and debt. Advancing this critique requires a renewed focus on monopoly power as a crucial analytical step. It is through the lens of monopoly that we can best understand the profound concentration of economic and political power, persistent stagnation, and the structural drivers of twenty-first-century capitalism (Siddiqui, 2023).

Consequently, analysing the concentration of capital and monopoly power is essential—not only for explaining economic phenomena like stagnation and financialization, but also for comprehending contemporary geopolitical structures and entrenched global inequalities. The struggle for substantive democracy and social justice is inextricably linked to confronting the political power of a corporate plutocracy that commands the world’s largest firms. For any transformative political project, therefore, effectively articulating this structural reality to those impacted by corporate dominance is central to maintaining analytical relevance and advancing a credible agenda for change.

VI. Conclusion

Monopoly capitalism represents a structural and recurrent feature of advanced capitalism, intensified by the converging forces of globalisation, financialisation, and digitalisation. The concentration of economic power within a handful of transnational corporations has fundamentally reshaped competition, labour relations, and macroeconomic stability. Through rising market concentration, persistent price markups, and the dominance of intangible assets, these firms extract monopoly rents, suppress the wage share, and constrain productive innovation—thereby reproducing the stagnationist tendencies long theorised by Baran and Sweezy.

The concentration of economic power within a handful of transnational corporations has fundamentally reshaped competition, labour relations, and macroeconomic stability.

As Marxist analysis underscores, this monopoly power is not merely a market inefficiency but a systemic outcome of capital accumulation, wherein competition paradoxically drives the concentration and centralisation of capital. This process systematically subordinates social needs to the logic of profit. The internationalisation of monopoly capital globalises these dynamics, exporting stagnation and inequality while deepening the structural divide between labour and capital. This trajectory finds its most evolved manifestation in digital monopoly-finance capital, which merges corporate dominance with financialisation, the extractive control of data and platforms, and a consequent erosion of democratic accountability.

These developments are sustained by an interrelated system of credit, intangible property rights, and corporate consolidation. Rather than undermining monopoly, globalisation and digitalisation have reinforced corporate dominance by intensifying concentration. The resulting in rising inequality, weakened aggregate demand, and heightened labour precarity that cannot be remedied by narrow antitrust frameworks alone, necessitating a structural political-economy approach.

In tracing the evolution from national industrial concentration to today’s globalised digital-financial monopolies, this study demonstrates how financialisation and the control of intangible assets exacerbate inequality, suppress competition, and weaken democracy. Understanding this system is therefore indispensable for interrogating the political foundations of twenty-first-century capitalism. Consequently, any meaningful project of democratic transformation must confront the concentrated power of global monopolies and the structural mechanisms that reproduce their dominance.

About the Author

Dr. Kalim Siddiqui is an economist specializing in International Political Economy, Development Economics, Trade and Economic Policy. Since 1989, he has been teaching economics at various universities in Norway and the UK. Dr. Siddiqui’s research interests encompass a wide range of topics, including political economy, international trade, and economic history, South Asia, and emerging economies. He has presented papers at international conferences across numerous countries, reflecting his global engagement in the field. His scholarly pursuits span six broad domains: Political Economy, Development Economics, Economic History, Economic Policy, Globalization, and International Trade. Dr. Siddiqui has made significant contributions to research in areas such as trade policy, globalization, and political economy. His work has been published in chapters of edited books and articles published in peer-reviewed journals. For inquiries, Dr. Siddiqui can be reached at: [email protected]

References

  1. Amin, S. (2018) Modern Imperialism, Monopoly Finance Capital, and Marx’s Law of Value, New York: Monthly Review.
  2. Baran, P. and Sweezy, P. (1966) Monopoly Capital. New York: Monthly Review Press.
  3. Cowling, K. and Tomlinson, P. (2005) “Globalisation and Corporate Power” Contributions to Political Economy 24(1):33-54.
  4. IMF (2021) Rising Corporate Market Power: Emerging Policy Issues, March, IMF.
  5. Kwon, S.Y., Ma, Y. and Zimmermann, K. (2024) “100 Years of Rising Corporate Concentration” American Economic Review, 114 (7):2111–40.
  6. Marx, Karl (1993) Grundrisse, London: Penguin Books.
  7. Sawyer, M. (2022) “Monopoly Capitalism in the Past Four Decades” Cambridge Journal of Economics, 46:1225-1241.
  8. Siddiqui, K. (2025a) “The United States’ Future in an Imperial Mirror: Lessons from Britain, Spain, Abbasids, Rome, and Beyond” World Financial Review, November.
  9. Siddiqui, K. (2025b) “The Reasons Behind the Decline of the United States Economy” World Financial Review, May.
  10. Siddiqui, K. (2025c) “Reconfiguring US Hegemony: Militarism, Empire, and the Crisis of Capitalist Accumulation” World Financial Review, August.
  11. Siddiqui, K. (2024a) “The Decline of the West and Global Political Economy” World Financial Review, December.
  12. Siddiqui, K. (2024b) “Deepening Economic Crisis in the Advanced Capitalism” World Financial Review, June.
  13. Siddiqui, K. (2024c) “China’s Growth Miracle and Development Strategy Since the 1980s” World Financial Review,
  14. Siddiqui, K. (2023) “Marxian Analysis of Capitalism and Crises” International Critical Thought 13(4):525-545.
  15. Siddiqui, K. (2022) “Capitalism, Imperialism, and Crisis”, European Financial Review, June/July.
  16. Siddiqui, K. (2019). “Financialisation, Neoliberalism and Economic Crises in the Advanced Economies” World Financial Review, May/June.
  17. Siddiqui, K. (2018). “Capitalism, Globalisation and Inequality” World Financial Review, November/December.
  18. Vasudevan, R. (2022) “Digital Planform: Monopoly Capital through a Classical-Marxian Lens” Cambridge Journal if Economics 46:1269-1288.

The Venezuelan Battleground: US Regime Change V. Chinese Economic Cooperation

Several automatic rifles raised up on the background of the American Venezuelan flag

By Dr. Dan Steinbock

The U.S. kidnapping of President Maduro represent one of the worst violations of international law by a major power in decades. It also reflects the role of Venezuela as a battleground of U.S. and Chinese interests.

In the early hours of January 3, 2026, Venezuela’s President Maduro and his wife, Cilia Flores, were dragged from their bedroom and transported to New York. Having been months in-the-making behind the back of the U.S. Congress, the military raid involved more than 150 aircraft and drones, likely causing tens of deaths and far more injured.

Concurrently, the U.S. Department of Justice unsealed an indictment against Maduro and his wife on several serious narco-terrorism, cocaine and guns conspiracy charges.

Critics of the U.S. action, including the foreign ministries of China, France, Mexico, and Russia, have cited violations of key UN Charter principles.

In view of the Venezuelan government, it was an “imperialist attack.” In view of the international community, it was widely condemned as a violation of international law, specifically the UN Charter, which prohibits the use of force against the territorial integrity or political independence of another state. Critics of the U.S. action, including the foreign ministries of China, France, Mexico, and Russia, have cited violations of key UN Charter principles.

Neither the regime change operation nor the charges could disguise the cold reality that, as President Trump acknowledged, what the U.S. really wants is to tap Venezuelan oil reserves   

US effort to exploit untapped reserves          

Venezuela has the world’s largest proven crude oil reserves with some 303 billion barrels, accounting for 17% of global reserves. Despite the sizeable reserves, Caracas produced barely 0.8% of total global crude oil still in 2023.

Since Venezuelan economy heavily relies on oil, U.S. sanctions have sought to undermine the efforts by the state oil company Petróleos de Venezuela SA (PDVSA) to fund government revenue.

However, thanks to eased sanctions by the Biden administration, there were some promising signs in the Venezuelan economy in the past year or two. Nonetheless, due to the escalatory measures by the U.S., Venezuela’s oil production has collapsed from over 3 million barrels per day (bpd) to around 1 million bpd or less, due to lack of investment, decaying infrastructure and mismanagement. 

In the early 2020s, for the first time in a decade, Venezuela’s crude oil production increased, thanks to assistance from Iran and China National Petroleum Corporation (CNPC).

As a result of two decades of increasing economic coercion by the U.S. government and the escalation of maximum pressure by the Trump administrations, Venezuela’s economy is today highly fragile. Hence, the timing of the attack.

It was fostered by the new U.S. national security strategy (NSS) legitimizing America’s greater control of the Western Hemisphere.

China as Caracas’ prime buyer

Prior to the U.S.-imposed sanctions on Venezuela, the U.S. was the largest importer of Venezuela’s crude oil. The heavy crude oil is well suited for U.S. refineries, particularly those along the Gulf Coast. Most of the remaining crude oil was destined for India, China, and Europe.

But since the 2019 sanctions, a significant portion of Venezuela’s crude oil exports has been part of oil-for-loans arrangements. As of 2023, China received 68% of Venezuela’s crude oil exports. Only 23% went to the U.S.

Venezuela’s crude oil exports by region and country, 2023

Venezuela’s crude oil exports by region and country, 2023
Source: Data from EIA 

U.S. intervention in Venezuela is not only in line with its attempt to ensure privileged access to the country’s energy for decades to come. It is also fueled by the effort to neutralize China’s growing influence in the region, secure access to Venezuela’s vast oil and critical mineral reserves, including rare earths.

Both powers see Venezuela’s massive energy resources and strategic location as crucial to global power dynamics. The difference is that China has been willing to play by the rules of the international law, which the US administrations have violated with unilateral sanctions and the Trump administration chose to undermine.

The U.S. rogue raid took the prior bilateral friction in Panama to another, far more violent magnitude.

The perception of conflicting interests             

U.S. intervention was defined by several interests. A primary driver is stopping Beijing from filling the economic vacuum left by U.S. sanctions and solidifying its strategic ties with Caracas. In turn, China seeks to secure stable oil shipments, occasionally through large loans-for-oil deals, to fuel its economy and reduce reliance on other sources.

Starting in 2007, former Venezuela President Hugo Chavez agreed to $50 billion in credit lines and loan-for-oil deals with China. A decade ago, rout in oil prices and declining output from Venezuelan fields compelled Caracas to ask for grace periods on debt owed to China. In the process, China has become the main destination to these oil exports. As Venezuela owes some $10 billion to China, Beijing has an interest to ensure the repayment of these loans through a stable flow of oil, even if Venezuela is not a top-ten supplier of Chinese crude overall.

In the Trump administration’s view, Venezuela’s huge proven oil reserves, plus significant gold, rare earths, and critical minerals are vital to make America great again. The collateral damage is Venezuela’s problem and China’s headache.

With deepened economic ties through infrastructure and resource extraction, China has gained influence in the region. In Beijing, this is not seen as a win-lose game. After all, Washington has long had a substantial presence in East and Southeast Asia.

But unlike the U.S., China is disinclined to raid presidents and their wives to undermine regimes.

Bullying vs partnering     

Loyal to its new national security strategy, the Trump administration been both able and willing to reassert U.S. dominance in Latin America, as in the imperialist 19th century. These strategic objectives are readily framed with humanitarian and security pretexts addressing drug trafficking, terrorism, and human rights abuses under the Maduro government, effectively to legitimize the intervention.

In Beijing’s view, 19th century imperialism is the kind of dark history that should have no role in the 21st century multipolar world. After all, China suffered a century of colonial humiliation, precisely as a result of such illicit actions.

Securing stable oil shipments is vital to its continental economy which is still developing. Accordingly, China has supported the Maduro government to maintain its investment and access to resources, viewing it as an “all-weather” ally.

That’s why Beijing strongly opposes U.S. military action, condemning it as a violation of sovereignty and an infringement on international law.

In Washington’s view, China is positioning itself as a defender of state rights against U.S. “bullying.” But that’s not the case. Rather, the Trump White House has undermined those very rights by bullying its Latin American neighbors with economic coercion and lethal firepower.

Untenable status quo      

After its intervention, the Trump administration wants American oil companies to invest billions in rehabilitating Venezuela’s dilapidated oil infrastructure and production, hoping this would stabilize global energy prices and create opportunities for U.S. businesses.

Yet, the Trump administration is acting in a way that undermines the peace and stability that are the prerequisites for long-term investment, with potential price destabilization that is penalizing U.S. opportunities in the region.

The world economy and the international community are in a potentially perilous crossroads.

China has strongly condemned the U.S. intervention as an act of “hegemonic” interference and a violation of Venezuelan sovereignty, advocating a more inclusive multipolar world order. This is a quest that’s strongly supported by the populous economies of the Global South, which believe in principles of sovereignty, economic cooperation, and opposition to Western interventionism.

Today, Venezuela is a battleground in the broader struggle against U.S.-led unipolarity. Like China, the Global South favors multilateral solutions through international bodies like the UN, in contrast to unilateral military action. Both advocate for a world order based on international law rather than a Darwinian “law of the strongest.”

The world economy and the international community are in a potentially perilous crossroads. Effectively, the Trump administration is forcing the world states to choose – not between the United States and China, but between international law and illicit plunder by the mightiest military power.

The original version was published by China-US Focus (US/Hong Kong) on January 7, 2026.

About the Author

Dr Dan SteinbockDr. Dan Steinbock is an internationally recognized strategist of the multipolar world and the founder of Difference Group. He has served at the India, China and America Institute (USA), Shanghai Institutes for International Studies (China) and the EU Center (Singapore). For more, see https://www.differencegroup.net

Trump Explores Greenland Acquisition, Military Option Not Off Table

Trump - flag of Greenland

The White House confirmed Tuesday that President Donald Trump is “discussing a range of options” to acquire Greenland, signaling that U.S. military involvement remains a possibility.

Trump’s renewed focus comes after the United States captured Venezuelan leader Nicolás Maduro, reflecting an expansionist foreign policy approach that prioritizes strategic territories and resources.

White House press secretary Karoline Leavitt said in a statement, “President Trump has made it well known that acquiring Greenland is a national security priority of the United States, and it’s vital to deter our adversaries in the Arctic region.” She added that “utilizing the U.S. Military is always an option at the Commander in Chief’s disposal.”

Secretary of State Marco Rubio told lawmakers that the administration is seriously considering purchasing Greenland, while downplaying immediate military intervention. The U.S. State Department recently analyzed Greenland’s untapped resources, including rare earth minerals, but noted the extreme costs and logistical challenges involved due to harsh weather and limited infrastructure.

Trump has emphasized the national security value of Greenland and questioned Denmark’s ability to manage the territory. “We need Greenland from the standpoint of national security, and Denmark is not going to be able to do it,” he told reporters aboard Air Force One. Senior aide Stephen Miller reinforced that nobody would challenge the United States militarily over Greenland and questioned Denmark’s claim to the island.

European leaders responded by affirming Denmark’s sovereignty and calling for collective Arctic security under NATO. Danish Prime Minister Mette Frederiksen warned that a U.S. military move could jeopardize the alliance. Greenland has requested a meeting with Rubio to address the renewed U.S. interest.

Trump’s attention to Greenland is long-standing. Following his 2024 election victory, he revived earlier proposals to purchase the 836,000-square-mile island rich in oil, gas and rare earth minerals. Last March, he suggested in a congressional speech, “I think we’re going to get it. One way or the other, we’re going to get it.”

Vice President JD Vance visited Greenland in March, despite local resistance, arguing that the island was vulnerable and that the United States had “no other option” than to increase its presence.

The administration’s approach has drawn bipartisan criticism. Democratic Sen. Ruben Gallego warned he will introduce a resolution to prevent a U.S. invasion. Republican Rep. Don Bacon called the proposal “stupid” and criticized any coercive action against a NATO ally. Democratic Sen. Jeanne Shaheen and Republican Sen. Thom Tillis reiterated Denmark’s strategic importance and warned that pressuring an ally undermines principles of self-determination and NATO’s credibility.

The unfolding debate highlights tensions between U.S. strategic ambitions and international norms, as Greenland’s resources and location continue to attract Washington’s attention.

Related Readings:

Flags of USA and Denmark

Houses in a neighborhood in Nuuk Greenland st.

The Skeptics Missed The Turn In AI

AI skeptics

By Dr. Gleb Tsipursky

Walk the halls of a typical Fortune 1000 and you’ll see AI-generated drafts, forecasts, and code reviews sliding into workflows with little fanfare. That pattern shows up in the year-three executive summary of Wharton Human-AI Research and GBK Collective, which tracks mainstream use, tighter guardrails, and budgets moving to proven programs in 2025. External benchmarks echo the turn, from McKinsey’s 2024 global survey documenting regular generative AI use to Stanford’s 2025 AI Index showing broadening business engagement.

Enterprise Adoption Is Now A Fact

Three years of Wharton-GBK data trace a clear arc from exploration to everyday work. The study’s 2025 findings describe daily use as common, with IT and procurement leading while adoption spreads across HR, legal, finance, and operations. The same report notes a U.S. executive sample of roughly 800 leaders surveyed between June 26 and July 11, 2025, reinforcing that these are decision makers inside large enterprises. This year, the report found 82% use Gen AI at least weekly (+10pp YoY), and 46% (+17pp YoY) daily. Moreover, three out of four leaders described positive returns on Gen AI investments.

Executives are not treating AI like a toy anymore; they are instrumenting it.

This picture holds beyond this survey. IBM’s Global AI Adoption Index found that by December 2023, 42% of enterprise respondents had actively deployed AI and another cohort was in active exploration, a pattern consistent with mainstreaming rather than novelty. McKinsey’s 2024 State of AI reported regular generative AI use by 65% of organizations and cited value concentrations in software, customer operations, and marketing. Stanford’s 2025 AI Indexadds macro context on rising use and falling inference costs, which helps explain why adoption keeps climbing inside firms.

ROI Discipline Is Taking Hold

Executives are not treating AI like a toy anymore; they are instrumenting it. Wharton’s 2025 study highlights a decisive turn toward measurement, with most firms tying initiatives to business metrics and roughly three in four already seeing positive returns. Budgets follow accountability: 88% expect to increase generative AI spend over the next 12 months, and 62% anticipate double-digit increases, with more dollars shifting from pilots to programs that clear performance thresholds. KPMG’s August 2024 survey of billion-dollar enterprises backs this confidence, with 78% of leaders expecting positive ROI within one to three years.

The strongest evidence for usefulness comes from field data. A large-scale study across more than five thousand support agents found that access to a generative assistant increased resolved issues per hour by about 15% on average, with the biggest lifts for less-experienced workers. In software, a controlled experiment showed developers with an AI pair programmer finished a coding task 55.8% faster than the control group. These results align with where Wharton’s study sees repeated wins: analysis, summarization, document workflows, and coding. The practical lesson is simple. Measure throughput, quality, and cycle time; scale what clears your hurdle rate; and stop what doesn’t.

This discipline is reshaping how companies build. Wharton reports rising allocations to internal R&D and a shift toward domain-tuned capabilities designed for a firm’s data, guardrails, and processes in 2025’s “accountable acceleration” phase. The pattern matches Deloitte’s ongoing State of Generative AI, which ties outperformance to reworked workflows, strong governance, and targeted skilling rather than tool nostalgia. Leaders who treat AI as an operating improvement, not a stunt, are already harvesting repeatable gains.

Skepticism Flags Risks, Not Futility

Skeptics are not wrong to warn about poor execution. Boston Consulting Group’s 2025 analysis finds only 5% of firms achieving material value at scale while 60% report little impact, a reminder that buying tools is not the same as redesigning work. Gartner expects that more than 40% of agentic AI projects will be canceled by 2027 for weak business cases, high costs, or poor risk management. These cautions sharpen priorities: fewer vanity demos, more outcome-based design.

Read alongside those warnings, the Wharton study undercuts blanket pessimism. It documents a cohort of leaders moving past hype: as I tell my clients who I help adopt AI, success depends on embedding ROI metrics, tightening guardrails, and funding internal capabilities where they matter most. The OECD’s cross-country portrait shows that adoption concentrates in larger and data-mature firms and in sectors like ICT and professional services, where users tend to be more productive. That nuance reconciles the headlines: value arrives first where workflows are digital, measurable, and well-informed by data. McKinsey’s 2024 report and Deloitte’s enterprise series both show that when organizations pair tools with process redesign, training, and risk management, returns show up quickly in specific functions.

Treat AI as an operating system for work and you will bank the advantage while others debate the headlines.

The path forward is concrete. Start where the evidence is strongest: support desks and developer workflows already show durable lift. Use Wharton’s playbook to formalize ROI tracking, push budgets toward the use cases that clear your thresholds, and invest in internal capabilities that align with your data and controls. Add the macro signal from Stanford’s AI Index and IBM’s adoption index, and the direction is hard to miss: the market is sorting disciplined operators from dabblers, not proving AI useless.

Conclusion

Enterprise AI is past the novelty stage. Leaders are using it frequently, measuring it against business metrics, and backing the winners with bigger budgets. Skeptical reports serve a purpose by spotlighting waste and weak governance, but they describe the cost of poor execution rather than a dead end. The Wharton analysis supplies a usable blueprint: set ownership, measure outcomes, align people and processes, and fund the capabilities that move the needle. Pair that with external evidence from real workplaces, and the signal is clear. Treat AI as an operating system for work and you will bank the advantage while others debate the headlines.

About the Author

Dr. Gleb TsipurskyDr. Gleb Tsipursky PhD, serves as the CEO of the hybrid work consultancy Disaster Avoidance Experts and authored the best-seller Returning to the Office and Leading Hybrid and Remote Teams. He was named “Office Whisperer” by The New York Times for helping leaders overcome frustrations with Generative AI. He serves as the CEO of the future-of-work consultancy Disaster Avoidance Experts. Dr. Gleb wrote seven best-selling books, and his two most recent ones are Returning to the Office and Leading Hybrid and Remote Teams and ChatGPT for Leaders and Content Creators: Unlocking the Potential of Generative AI. His cutting-edge thought leadership was featured in over 650 articles and 550 interviews in Harvard Business ReviewInc. MagazineUSA TodayCBS NewsFox NewsTimeBusiness InsiderFortuneThe New York Times, and elsewhere. His writing was translated into Chinese, Spanish, Russian, Polish, Korean, French, Vietnamese, German, and other languages. His expertise comes from over 20 years of consultingcoaching, and speaking and training for Fortune 500 companies from Aflac to Xerox. It also comes from over 15 years in academia as a behavioral scientist, with 8 years as a lecturer at UNC-Chapel Hill and 7 years as a professor at Ohio State. A proud Ukrainian American, Dr. Gleb lives in Columbus, Ohio.

Maduro Pleads Not Guilty as US Seizure Triggers Global Shockwaves

Venezuela’s vast energy wealth once placed it at the center of Latin America’s oil economy, but prolonged political instability, international sanctions and disputed elections have pushed the country into isolation and deep financial distress. Since Nicolas Maduro declared victory in the 2018 presidential race, a result widely challenged abroad, the United States has refused to recognize his leadership, setting the stage for years of escalating diplomatic and legal conflict.

That standoff reached a dramatic peak over the weekend when U.S. Special Forces carried out a helicopter raid in Caracas, breached Maduro’s security perimeter and detained the longtime leader. The operation marked the most striking U.S. intervention in the region since the 1989 invasion of Panama and immediately drew condemnation from Russia, China and left leaning allies of Venezuela. The United Nations Security Council convened to debate the implications, while U.N. Secretary General Antonio Guterres warned of instability and raised concerns over the legality of the action.

As global leaders reacted, U.S. President Donald Trump moved to clarify Washington’s position. He told NBC News the United States was not at war with Venezuela, saying instead, “we’re at war with the people that sell drugs.” Trump also dismissed the idea of rapid elections, calling a 30 day timeline unrealistic. “We have to fix the country first. You can’t have an election. There’s no way the people could even vote,” he said.

Trump has openly linked the operation to Venezuela’s vast energy resources. Speaking to reporters aboard Air Force One, he said American oil companies would return and rebuild the country’s damaged energy infrastructure. “We’re taking back what they stole,” Trump said. “We’re in charge.” He later added that oil firms were aware Washington was considering action, though they were not told of the timing. U.S. energy stocks rose on Monday on expectations of future access to Venezuelan reserves.

In Caracas, the political order shifted quickly but did not collapse. Vice President Delcy Rodriguez was sworn in as interim president hours after Maduro’s court appearance. She voiced support for him but gave no sign she would challenge the U.S. move. According to a Wall Street Journal report citing people familiar with a classified U.S. intelligence assessment, Rodriguez was viewed as the figure best positioned to maintain temporary stability, while opposition leaders were seen as lacking broad legitimacy.

The assessment also said Rodriguez, along with the interior and defense ministers, could preserve order in a government largely hostile to Washington. Her brother, Jorge Rodriguez, was reappointed president of the pro Maduro National Assembly on Monday and vowed “to use all procedures, forums and spaces” to secure Maduro’s return.

Against that backdrop, Maduro and his wife, Cilia Flores, appeared in Manhattan federal court on Monday morning. Escorted from a Brooklyn detention facility by armed guards, the pair arrived by helicopter for a brief hearing before U.S. District Judge Alvin Hellerstein. Shackled at the ankles and dressed in prison uniforms, Maduro listened through an interpreter as the judge outlined the charges.

Asked to confirm his identity, Maduro responded in Spanish and then delivered a brief statement before being cut off. “I am innocent. I am not guilty. I am a decent man. I am still president of my country,” he said. Both Maduro and Flores pleaded not guilty, and the court scheduled their next appearance for March 17. Judge Hellerstein informed them of their right to notify the Venezuelan consulate.

Outside the courthouse, dozens of demonstrators gathered, split between supporters and critics of the toppled leader. Inside, prosecutors detailed allegations that Maduro oversaw a cocaine trafficking network tied to groups including Mexico’s Sinaloa and Zetas cartels, Colombia’s FARC rebels and Venezuela’s Tren de Aragua gang. He faces four counts, including narco terrorism and cocaine importation conspiracy, as well as weapons charges involving machine guns and destructive devices.

Federal prosecutors first charged Maduro in 2020, accusing him of involvement in drug trafficking dating back to his time in Venezuela’s National Assembly in 2000, through his tenure as foreign minister and his 2013 rise to the presidency following Hugo Chavez’s death. An updated indictment released Saturday added details and named Flores as a co defendant.

Maduro has consistently denied the accusations, arguing they serve as a cover for foreign ambitions over Venezuela’s oil wealth. His attorney, Barry Pollack, said he expects an extensive legal battle over what he described as a “military abduction,” adding that Maduro was not currently seeking release. Flores’ lawyer, Mark Donnelly, said she suffered significant injuries during her detention and requested medical examinations.

As legal proceedings begin in New York and a new interim authority settles in Caracas, Venezuela faces an uncertain path. The arrest of a sitting leader, the reshaping of power at home and open U.S. interest in the nation’s oil sector have combined to create a moment with far reaching political, legal and economic consequences.

Related Readings:

Capitol - Venezuela

EDITOR'S PICK OF THE WEEK

CFO's new mandate. CFO explaining the presentation

The Performance and Transformation Orchestrator: The CFO’s New Mandate in the Age of AI

By Terence Tse CFOs are evolving into AI-driven transformation orchestrators, balancing finance, technology, and strategy while upskilling teams, managing risks, and driving measurable business value. A key insight from this year’s AI for CFOs event, organized...

WISE DECISION MAKER GUIDE

POWER INFLUENCERS

Emerging Trends

The Future of Global Trade