In a world where nearly everything can be done from your phone, you’d think banking would be the easiest thing to access. But in large parts of the world—think rural Indonesia, sprawling Nigerian suburbs, or the outskirts of Lima—that’s not the case. Traditional banks are still gatekeeping financial access like it’s the 1990s.
So what’s happening instead? People are skipping the bank altogether and going straight to mobile-first platforms. The star of this movement? Prepaid credit cards—no need for a bank account, no complicated approvals, just top-up and go. Companies like Sasono are at the forefront of this quiet revolution, tailoring financial tools for communities that have historically been shut out of the global economy.
Why Prepaid Is Winning Where Traditional Credit Fails
Here’s the thing: the unbanked and underbanked aren’t clueless about money. They’re just excluded by design. Banks want ID documents, proof of income, permanent addresses—and in many emerging markets, that’s not how life works. People earn through side gigs, cash jobs, or informal markets. They move often. They hustle.
So instead of trying to fit into systems that don’t fit them, they’ve created a new path—one that doesn’t involve banks at all. Prepaid credit cards let users receive salaries, make online purchases, book tickets, and even subscribe to services like Netflix or Spotify. That kind of access changes everything.
Sasono understood early on that offering “lite” versions of Western banking wouldn’t cut it. Their model goes full mobile, built for people who have smartphones but no bank accounts. It’s simple, frictionless, and more importantly—available.
The Tech Leapfrog: Why This Isn’t a Temporary Fix
This isn’t just a phase or some temporary workaround. It’s a fundamental shift in how money moves. In Kenya, mobile money accounts outnumber bank accounts. In the Philippines, more people are topping up digital wallets than walking into banks. It’s not because people are avoiding banks—it’s because the banks simply aren’t meeting them where they are.
Fintech platforms like Sasono are stepping in, offering not just cards but ecosystems—digital tools that include savings, bill pay, microloans, and more. And unlike traditional banks, these services don’t require you to jump through hoops. You don’t need to “prove” you’re worth serving. You just sign up.
This leapfrogging effect—skipping old infrastructure for newer, more agile systems—is being seen across industries. But in finance, it’s rewriting the rules entirely.
From Marginalized to Monetized: How Financial Access Unlocks Opportunity
Let’s talk about impact. When people gain access to secure and flexible payment tools, they start saving. They start building credit in ways that make sense in their context. They send money to relatives in other towns—or countries. They take out small loans to start tiny businesses that grow bigger than anyone expected.
Studies from the IMF and World Bank have shown that increased financial access in underserved areas correlates with stronger local economies. The more people are plugged in, the more resilient their communities become. Prepaid platforms are the on-ramp to that kind of transformation.
For instance, Sasono’s reach into remote areas has given thousands of users the power to control their income without waiting on bureaucratic approval or navigating high-fee alternatives. When tools are that accessible, you’re not just serving users—you’re shifting what’s possible for entire economies.
What’s Next for Fintech in the Global South?
Challenges are still on the table—fraud risks, regulatory lag, and digital literacy, to name a few. But the momentum is real, and it’s not slowing down. Governments are starting to catch up, often drafting policy with platforms like Sasono in mind. NGOs are jumping in too, offering digital literacy programs to help users get more out of their tools.
The truth is, traditional banks are trying to play catch-up in a game they didn’t realize they were losing. And the people who were once dismissed as “unbankable”? They’re the future of finance.
So the next time someone calls prepaid cards a basic tool, think again. In emerging markets, they’re not basic—they’re revolutionary. And the companies that understand that are the ones building the next version of global finance—one where access isn’t a luxury, it’s a given.
Global share markets surged on Monday following a breakthrough in trade discussions between the United States and China, with President Donald Trump declaring a “total reset” in economic terms after high-level talks over the weekend in Switzerland.
The agreement significantly lowers tariffs on both sides, easing tensions that have rattled investors for months. Washington will reduce its sweeping tariffs from 145% to 30%, while Beijing will cut its retaliatory rates on American imports from 125% to 10%.
Though many of the levies are suspended rather than removed entirely, President Trump said he expects further progress within the next three months. “We’re not looking to hurt China,” he said, noting the economic strain Chinese factories had been experiencing. “They were very happy to be able to do something with us.”
Trump also signaled a possible phone call with Chinese President Xi Jinping by week’s end.
Wall Street responded swiftly to the news. The S&P 500 rose more than 3.2%, the Dow Jones Industrial Average gained 2.8%, and the Nasdaq soared 4.3%, erasing losses from the sharp downturn following the April 2 tariff hike, dubbed “Liberation Day” by the White House.
Under the revised agreement, the US is suspending the steep tariff imposed on Chinese goods during that campaign and lowering the universal import tariff to 10%. However, it is retaining an extra 20% levy on specific goods like fentanyl to press Beijing on curbing the illegal drug trade.
China, in turn, pledged to suspend or eliminate various non-tariff barriers while confirming that retaliatory tariffs introduced in response to the US escalation will also fall to 10% for now. Sector-specific duties on items such as steel and automobiles, however, will remain in place.
The deal arrives as early economic indicators pointed to declining trade activity. US ports had seen a notable drop in scheduled Chinese shipments, while Chinese manufacturers were beginning to cut jobs as American orders slowed.
China’s Ministry of Commerce described the agreement as a meaningful step toward resolving differences and strengthening cooperation. Business leaders echoed cautious optimism.
Tat Kei, who operates a personal care appliance factory in Shenzhen, welcomed the relief but warned that uncertainty remains. “I don’t think this is the end of it… not by a long shot,” he told the BBC.
Elaine Li of Atlas Ways, a consultancy supporting Chinese firms with international growth, urged companies to prepare for future volatility. “The best they can do is build a moat around their company before the next round of tariffs arrives,” she said.
Retail and tech giants led the US stock surge. Target, Nike, and Home Depot posted sharp gains, while Amazon, Apple, Nvidia, and Meta all moved higher. European markets followed suit, with Denmark’s Maersk and Germany’s Hapag-Lloyd—both major shipping firms—jumping 12% and 14% respectively.
Maersk called the development “a step in the right direction” and expressed hope for a permanent settlement that would bring long-term stability for global trade partners.
The US National Retail Federation praised the outcome. “This temporary pause is a critical first step to provide some short-term relief for retailers,” said president Matthew Shay.
The International Chamber of Commerce described the pact as a signal of willingness to avoid deeper economic fragmentation. “We hope this agreement lays the foundation to lift the cloud of trade policy uncertainty,” said deputy secretary-general Andrew Wilson.
Meanwhile, gold prices dipped 3.1% to $3,223.57 per ounce as investors shifted away from safe-haven assets amid the improving trade outlook.
In today’s investment environment, volatility is the norm. From unpredictable geopolitical shifts to rapid changes in inflation data, investors are constantly forced to react, often emotionally, to developments they can’t control. But what if the key to consistent returns wasn’t to react at all? What if it were to remove human emotion from the equation entirely?
That’s the promise behind Innova, an AI-powered trading platform built to offer emotion-free, data-driven investing. Designed with both beginner investors and seasoned traders in mind, Innova’s technology aims to level the playing field by offering tools once reserved for hedge funds and institutional players. And as of May 2025, it’s becoming one of the most talked-about entrants in the fintech space.
Solving the Old Problems of New Investors
Lead Developer Kevin Griffiths built Innova in response to what he saw as a persistent issue in retail trading: people making impulsive, emotionally charged decisions. From panic selling during minor dips to chasing social media-fueled “moonshots,” individual investors often underperform not because of a lack of effort, but because of flawed decision-making.
“Innova was created to take emotion out of the picture,” Griffiths explains. “Our AI doesn’t get scared during a downturn or greedy during a spike. It sticks to the data, analyzes patterns in real time, and executes trades with discipline most humans simply can’t replicate.”
The AI engine at the core of Innova monitors hundreds of technical indicators—MACD, RSI, Bollinger Bands, and more—across thousands of U.S. stocks, 24/7. But what truly sets it apart is its ability to incorporate external data like financial news, sentiment trends, and macroeconomic shifts into its analysis. This multimodal approach allows the system to make intelligent adjustments in milliseconds, with no human intervention.
A Platform Built for Simplicity and Power
Innova isn’t just for Wall Street veterans. Its interface is deliberately intuitive. Users select which stocks or sectors they want to focus on, set their risk tolerance, and let the system take over. Whether someone wants to hold long-term or engage in more active trading, Innova can adapt its strategy accordingly.
One standout feature is its automated trailing stop-loss mechanism. This tool adjusts the exit point for each position based on real-time volatility (measured by beta and standard deviation). So, rather than selling too early or holding too long, the AI locks in gains when the odds begin to turn.
Also notable: Innova uses only regulated brokers like Alpaca, which are SIPC-insured, adding an extra layer of trust and security. This sets it apart from forex-based bots or crypto trading platforms that often rely on offshore, unregulated entities.
The Results: Consistency Over Hype
While Innova doesn’t promise guaranteed riches, the numbers from its early user base are impressive. Users report average monthly returns between 7% and 14%. Some portfolios have doubled within six months—an impressive feat, especially during periods of heightened volatility.
And the real kicker? These results were sustained even through the early 2025 correction that rattled traditional markets. While many forex and stock traders reported significant drawdowns, Innova’s AI was quietly adjusting strategies in real time, avoiding the worst of the storm.
This performance is due in large part to Innova’s hybrid approach: blending technical and sentiment analysis with built-in risk management systems. Where most retail traders fall behind—either reacting too slowly or holding too long—Innova’s AI excels.
How It Stacks Up Against Traditional Trading Bots
Automated trading bots have been around for decades, especially in forex markets. But most follow rigid rules: if A happens, do B. That logic is fine when markets are stable, but it often collapses during times of chaos.
Innova’s algorithms, by contrast, are dynamic and self-adjusting. If a geopolitical event sparks volatility, the AI doesn’t just look at a chart—it understands the story behind the movement. This is where it differs from traditional technical-only bots and where it earns its edge.
“The reason most forex bots fail is they can’t see the forest for the trees,” says Griffiths. “They see a pattern and jump, but by then it’s often too late. Our AI understands context.”
The Bigger Picture: Making Institutional Tools Accessible
Ultimately, Innova is part of a broader movement in finance: the democratization of powerful investing tools. Just a decade ago, algorithmic trading was the domain of quants and Wall Street firms. Today, thanks to advances in AI and API-based brokers, platforms like Innova can deliver similar power to individuals with a few clicks.
The company has ambitious plans for 2025 and beyond, including expanding asset classes (crypto, ETFs, international stocks) and integrating predictive modeling for broader macroeconomic trends. With its current growth trajectory, it’s positioned to become a major player not just in AI trading but in the larger fintech ecosystem.
A Smarter Way to Invest
As more people seek alternatives to traditional financial advisors and outdated trading strategies, Innova offers a compelling vision: a future where investments are guided by logic, not fear or hype. Whether you’re a day trader looking for better execution or a long-term investor seeking consistency, the platform could offer the edge you’ve been missing.
With solid performance metrics, tight security, and growing adoption, Innova is proving that the future of investing isn’t human—or at least not entirely.
The Center Square’s headline doesn’t hedge. It blares that “a majority of Americans” back Donald Trump’s directive to herd all federal employees back into office buildings. But that claim collapses on closer inspection. The poll at the center of the article shows only 43 percent favor a blanket return-to-office order. Another 27 percent express support for requiring only “essential” workers to show up in person—individuals who, in fact, were already onsite under policies dating back to the Biden administration. By bundling these distinct responses, the article conjures a phony majority while glossing over the reality: most respondents did not support Trump’s sweeping mandate. The arithmetic gets bent to serve a narrative.
The manipulation doesn’t stop there. Sixteen percent of respondents opposed any mandate, and another fourteen percent weren’t sure. Yet those doubters are framed as a fringe minority. How? The poll’s design fuses Biden’s more moderate continuation of remote work with Trump’s abrupt reversal, then reframes the sum as unified support for the latter. This sleight of hand buries nuance and casts dissent as marginal.
The poll’s design fuses Biden’s more moderate continuation of remote work with Trump’s abrupt reversal, then reframes the sum as unified support for the latter.
The story’s veneer of objectivity compounds the problem. The Center Square markets itself as a wire service in the mold of the Associated Press, projecting credibility that earns a pass on closer scrutiny. That impression allows questionable math to slip through undetected by readers who trust the headline at face value.
This is no small issue. Headlines outrun nuance in today’s media environment. They populate social media feeds, mobile alerts, and email summaries—almost always without the underlying detail. Psychologists call this “anchoring bias”: the first figure we hear lingers, making later corrections struggle to take root. When the anchor is off, the damage lingers.
A Syndicated Shortcut to Misrepresentation
The way The Center Square operates makes this even more insidious. It feeds a network of under-resourced local newsrooms hungry for free content. These papers often reprint wire stories verbatim, giving partisan spin the sheen of community journalism. Ohio’s Highland County Press and manysimilaroutlets did exactly that within hours of the poll’s release, headline intact and context stripped. The result: readers assumed the numbers were verified by editors they trust.
That trust is no small matter. Gallup and the Knight Foundation report that Americans trust their local news far more than national outlets. So when a supposedly local story slips through the cracks, carrying an ideological slant dressed as statistical truth, the impact is disproportionately strong. The brand on the byline may be unfamiliar, but the masthead belongs to the town. People assume vetting occurred. In reality, budget cuts gutted that process years ago.
This is where influence gets quietly powerful. The Center Square is funded by conservative donor networks, though those connections don’t appear on its site. Public tax records show backing from groups committed to shrinking government and undermining labor protections. Their content, freely available, rides the infrastructure of struggling journalism to reframe contentious policies as common sense.
Researchers tracking media ecosystems describe these arrangements as “networked partisan local news.” Their aim isn’t to win national consensus—it’s to shape the conversation just enough to swing local debates, pressure statehouse hearings, or shift union negotiations. When a governor points to supposed majority support to defend a policy, few constituents will trace the claim back to a misleadingly constructed poll in a wire story.
Restoring Accuracy Starts With Reader Vigilance
There’s no shortcut to reclaiming factual integrity—it begins with active reading. Don’t just skim summaries; dig into the actual survey. Are the response categories cleanly separated, or are they mashed together to imply consensus where none exists? Do the math. Often, what’s omitted is more telling than what’s printed.
There’s no shortcut to reclaiming factual integrity—it begins with active reading.
Also, trace the funding. The Center Square’s parent, the Franklin News Foundation, doesn’t list donors publicly. But its 990 filings show support from donor-advised funds known for championing deregulation and anti-labor causes. That context matters. Editorial stance often shadows financial backing.
Compare this data with findings from credible institutions. In January 2025, an AP-NORC survey found support for an across-the-board RTO policy hovering near 40 percent—not a groundswell by any stretch. When only one source claims overwhelming approval while others show division, alarm bells should ring.
Finally, engage your local media directly. Write a letter pointing out statistical misrepresentations. Ask editors to publish the full breakdown of poll responses and clarify the actual status of “essential” workers. Encourage them to take the Pro-Truth Pledge—and take it yourself. Most local journalists care about their communities; they’re often constrained by time, not ethics. Help them spot the problems, and you’re more likely to see course corrections.
Democracy Demands Better Than Statistical Smoke and Mirrors
Democratic dialogue depends on honest numbers. The Center Square’s framing warped minority support into a manufactured majority, then cloaked that distortion in the credibility of hometown newsrooms. The antidote isn’t outrage—it’s precision. Break down the math. Follow the funding. Demand transparency from editors. These aren’t grand gestures, but steady habits that close the gap between public perception and reality. Each skeptical reader slows the spin cycle. And that, ultimately, is how trust gets rebuilt—one fact-check at a time.
Once celebrated as both a moral imperative and a competitive advantage in the aftermath of 2020, Diversity, Equity, and Inclusion (DEI) initiatives have recently encountered heightened skepticism and growing resistance. Some of the most recognizable brands—ranging from Walmart to Google—have quietly retreated from robust DEI commitments, influenced by intensifying political debates and a rising tide of regulatory and legal complexities. As a result, many executives now look to chart a new path forward that emphasizes objective metrics, systematic processes, and transparency. By focusing on evidence-based frameworks, these organizations hope to continue fostering diversity and fairness while sidestepping political controversies that often come with DEI-centered language and initiatives.
Over the past few years, DEI has become a cultural lightning rod. Iconic corporations such as Target, Meta, Amazon, McDonald’s, and Ford have all reduced or reassessed their DEI-focused programs amid mounting public scrutiny and an increasingly polarized political climate. Meanwhile, conservative groups have launched campaigns critiquing or even boycotting perceived identity-centric efforts. Tractor Supply, for instance, discontinued certain DEI-specific roles and retracted sponsorship for events like Pride Month following pressure from right-leaning activists. Walmart took the step of discontinuing programs aimed at minority- and LGBTQ-owned suppliers, highlighting the delicate balancing act these corporations now face.
This shift away from overt DEI branding can be traced, in part, to federal government actions during Donald Trump’s second term, which included executive orders specifically targeting DEI-related programs within federal agencies. These orders resulted in staff on administrative leave and effectively created watchlists for those involved in equity work. Such measures have sown uncertainty even in the private sector, as companies worry about potential legal entanglements or negative publicity. Rather than risk political backlash, many have opted to pull back on high-visibility DEI language or initiatives.
In an attempt to avoid political pitfalls, some organizations have tried rebranding their DEI efforts with softer terms like “belonging” or “culture-building.” While well-intentioned, these changes often placate no one. Critics on the right tend to view these linguistic updates as superficial cosmetic fixes, while DEI advocates argue that these semantic tweaks diminish the seriousness of corporate diversity efforts, potentially hurting employee morale. This tension has left executives searching for an approach that transcends the stalemate, one that embraces real diversity benefits without fueling ideological standoffs.
Instead of centering on identity labels or symbolic gestures, these frameworks integrate the principles of fairness and inclusivity into the very foundation of how decisions get made.
Enter the rise of objective, data-focused decision-making frameworks. Instead of centering on identity labels or symbolic gestures, these frameworks integrate the principles of fairness and inclusivity into the very foundation of how decisions get made. They call for clear performance metrics, structured evaluation processes, and transparent organizational policies. By prioritizing documented results and systematically reducing subjectivity, companies aim to benefit from the proven advantages of diverse perspectives—enhanced innovation, stronger collaboration, and more reliable hiring and promotion decisions—without entangling themselves in contentious public debates.
One key area where evidence-based practices are making a difference is talent acquisition. Traditional hiring often relies on informal networks and subjective judgments that can inadvertently perpetuate unconscious bias. In contrast, structured interviewing uses standardized questions, rubrics, and scoring methods to evaluate candidates. Various studies show that using these methods can increase the predictive accuracy of employee performance by as much as twofold compared to conventional approaches. With structured processes, candidates are measured against job-specific competencies, limiting biases tied to demographic factors or shared backgrounds, and helping ensure that strong performers from all walks of life have equal opportunities.
Promotion and career advancement processes also benefit from evidence-based frameworks. Instead of managers making promotion decisions based on “gut feelings” or familiarity, companies that adopt data-driven structures rely on quantifiable performance indicators and clearly defined role requirements. These metrics might include sales growth, project success rates, or leadership competencies, all of which must be carefully designed and consistently applied. By setting out explicit criteria for promotion, organizations reduce the likelihood that unconscious favoritism or in-group bias will shape leadership pipelines. Employees, in turn, see a fairer, more transparent pathway for upward mobility, boosting trust and morale.
An equally vital dimension of these frameworks is the deliberate incorporation of diverse perspectives in strategic planning and problem-solving sessions. When decision-makers represent a narrow segment of backgrounds, the risk of groupthink skyrockets. Data demonstrates that teams lacking heterogeneity often miss critical blind spots, make erroneous assumptions, or lose out on potentially game-changing ideas. Conversely, decision-making that purposefully includes different cultural, experiential, or generational viewpoints tends to avoid these pitfalls, stimulate creative thinking, and lead to more robust solutions.
Multiple research studies back up the merits of a more inclusive workforce. McKinsey’s landmark reports repeatedly link leadership diversity with superior financial performance. Deloitte’s data underscores that teams composed of various demographic and cognitive backgrounds consistently outperform uniform groups in creative and innovative tasks. While these findings initially fueled DEI initiatives, the current tension around identity-focused language has pushed many companies to present these same benefits through a data-driven, merit-based lens. Rather than emphasizing diversity for diversity’s sake, organizations highlight the measurable value of inclusivity as a driver of business goals.
Another advantage of employing objective frameworks is that they offer built-in resilience. Traditional DEI training programs often suffer from declining momentum over time. Workshops or retreats may generate initial enthusiasm, but these efforts can fizzle out or even provoke resentment if not accompanied by concrete changes in daily workflows and structural processes. By contrast, evidence-based decision systems weave inclusivity and fairness into ongoing operational tasks—from recruitment and onboarding to setting performance goals and distributing resources—making them less susceptible to the ebb and flow of political climates or budget cycles. These frameworks become an integral part of the company’s culture, rather than an external add-on.
Shareholders want to ensure that leadership decisions align with strategies that add tangible value and mitigate risk.
Additionally, organizations that adopt data-driven methods can better respond to legal and political headwinds. By centering on quantifiable metrics such as standardized test scores, objective performance indicators, and productivity benchmarks, companies anchor their practices in universally respected principles of transparency and meritocracy. This positioning enables them to defend their processes in courtrooms or public debates, insisting that they are guided primarily by fairness, demonstrable metrics, and operational excellence—values that typically resonate across the political spectrum.
More and more investors are also scrutinizing corporate governance and operational effectiveness. Shareholders want to ensure that leadership decisions align with strategies that add tangible value and mitigate risk. Evidence-based frameworks for hiring, promotion, and decision-making can serve as a tangible signal of sound governance. By substituting broad identity statements with verifiable metrics—such as improvements in employee retention, growth in innovation metrics, or client satisfaction—corporations can showcase their ability to maintain a healthy, forward-thinking work culture. This level of accountability not only supports better business results but also fosters trust among investors who may be wary of initiatives lacking clear benefits.
Still, transitioning to a data-driven approach is not without challenges. Designing valid and reliable metrics for hiring and promotion requires significant expertise. If poorly developed, such systems risk inadvertently reinforcing biases. For instance, a performance test or standardized assessment might have hidden cultural assumptions, which can tip the scale in favor of certain groups. Therefore, many organizations find it necessary to invest in talent analytics specialists, industrial-organizational psychologists, or consultants to refine and continually update their frameworks to ensure they remain equitable and truly predictive of on-the-job success.
Moving forward, the organizations that thrive in this complex environment will likely be those that successfully strike a balance between fostering diversity and mitigating controversy. By operationalizing inclusivity rather than merely preaching it, data-driven frameworks can offer lasting, measurable benefits. They not only tap into the creative power of varied perspectives but also resonate with a broad range of stakeholders, including employees, customers, policymakers, and shareholders.
In this new era, fairness and meritocracy can serve as rallying points that transcend partisan boundaries, provided they are backed by transparent processes and credible metrics. Corporations that embrace this evidence-based trajectory may find themselves better positioned to navigate the pressures of public opinion, political mandates, and fast-evolving legal landscapes, all while maintaining a workplace culture that reflects the core ethical principles initially underpinning DEI. By removing the rhetorical baggage and demonstrating practical, data-backed outcomes, these businesses can emerge stronger, more adaptable, and better equipped to face the challenges of a polarized world—one structured decision at a time.
In an era increasingly shaped by trade wars and shifting geopolitical priorities, Kalim Siddiqui explores the United States’ departure from its longstanding commitment to free trade. The article offers a critical analysis of how the world’s leading economy has turned to tariffs, unilateralism, and protectionist measures to reassert its global economic influence.
I. Introduction
President Donald Trump’s imposition of sweeping tariffs—widely regarded as the most significant protectionist measures in over a century—marked a dramatic shift in United States (US) trade policy. Trump called it as a “Liberation Day,” the ensuing trade war disrupted global markets, erasing an estimated US$6.6 trillion in value within just 48 hours worldwide. A large portion of that was from US markets, but it’s not exclusive to the US. It represents a broader global market value loss tied to fears about disrupted trade, uncertainty, and slowed growth due to the trade war. In swift retaliation, China imposed reciprocal tariffs and blacklisted American firms, and tightened export controls on rare earth minerals essential to high-tech industries.
The US is effectively turning its back on a trading system that has long served it well. For nearly eighty years, the US has greatly benefited from trade liberalization. While it has consistently run a trade deficit in goods, but it maintains a surplus in services—an area in which it is the world’s leading exporter.
By attempting to reduce the US trade deficit through broad tariffs—primarily targeting China and the European Union (EU)—Trump inadvertently strengthened the dollar by attracting global capital inflows.
Trump’s tariff strategy was unlikely to succeed for several reasons. Most importantly, his effort to “stop China” in key sectors such as technology failed to account for the complexities of highly integrated global supply chains. His belief that the US should maintain a bilateral trade balance with every country reveals a fundamental misunderstanding of global economics (Siddiqui, 2025). In today’s interconnected world, trade imbalances naturally arise from comparative advantage and specialization. By attempting to reduce the US trade deficit through broad tariffs—primarily targeting China and the European Union (EU)—Trump inadvertently strengthened the dollar by attracting global capital inflows. This, in turn, will make the US exports less competitive on the global stage (The Guardian (2025a).
Moreover, true structural reform would require challenging the privileged status of the US dollar as the world’s primary reserve currency—a move that would undermine the US financial hegemony (Siddiqui, 2024a). One probable objective of these tariffs was to force China and the EU into a currency revaluation similar to the 1985 Plaza Accord. That agreement led to a significant decline in Japanese exports and contributed to decades of economic stagnation. Yet, unlike 1980s Japan—a US ally with limited geopolitical leverage—China is neither defeated nor dependent. It is an ascendant power with growing influence. The contrast is underscored by the enduring US military presence in Okinawa, where over 53,000 American troops remain stationed, highlighting the historical asymmetry between the two cases.
Rather than adapting to an increasingly multipolar global order, the US appears committed to preserving its hegemonic status. In pursuit of this objective, it has employed a combination of strategic, economic, and diplomatic tools aimed at containing the rise of potential rivals—chiefly China—underscoring the geopolitical motivations behind its recent shift in trade policy (Siddiqui, 2020a).
There are indications that the US seeks to replicate the outcome it achieved with the Soviet Union: internal collapse driven by economic and systemic pressure. While the Soviet Union achieved significant technological and industrial advancements between the 1950s and 1970s, it ultimately failed to increase the production of consumer goods and improve living standards, contributing to its eventual disintegration in 1990. However, the analogy with China is limited. Unlike the Soviet Union, China has actively expanded its trade and investment ties, particularly within East Asia. Since its accession to the World Trade Organization (WTO) in 2001, economic integration between China and its regional neighbours has deepened significantly, creating a resilient and dynamic network that distinguishes China’s position from that of the Soviet Union (Siddiqui, 2024b).
China is unlikely to agree to a significant revaluation of the renminbi (yuan) merely to address the US trade deficit. Trump’s twin objectives—reducing the trade deficit while preserving dollar hegemony—are, in fact, mutually exclusive. Protectionist measures alone are insufficient to correct structural imbalances in the economy. Without a broader overhaul of the international monetary and trading system, such policies are more likely to accelerate a shift away from US economic primacy than reinforce it (Siddiqui, 2020b).
Over the past eight decades, the trajectory of US trade policy has undergone dramatic shifts: from protectionism during the interwar period, to liberalization in the postwar era, and more recently, a return to protectionist tendencies. During the Great Depression, the US President Herbert Hoover signed the Smoot-Hawley Tariff Act of 1930, raising average import duties by approximately 20% in an attempt to shield domestic industries. However, the act provoked retaliatory tariffs from major trading partners, severely disrupting global commerce and exacerbating the global economic downturn.
In contrast, the post–World War II era witnessed a fundamental transformation in US trade policy. With much of Europe and Asia in ruins, the US emerged as the dominant economic power and championed a liberal trade agenda. It spearheaded the creation of multilateral institutions like the General Agreement on Tariffs and Trade (GATT) and, later, the WTO to promote open markets and lower trade barriers. Trade liberalization proved highly beneficial for the US; despite comprising only 4% of the global population, the US produced more than half of the world’s manufactured goods during this period (Siddiqui, 2016).
The dissolution of the Soviet Union in 1991 further solidified US economic leadership and deepened its commitment to globalization, capital mobility, and market integration. However, recent years have seen a resurgence in the US of protectionist sentiment in response to rising trade deficits, industrial decline, and widening income inequality. Today’s economic nationalism unfolds in a very different international environment, as the Global South—especially many East and Southeast Asian nations—has achieved rapid industrialization, with China emerging as a key technological and manufacturing power.
The US was instrumental in initiating the contemporary phase of globalization, driven largely by the goal of maximizing multinational corporations’ profitability. Rising labour costs at home spurred firms to shift production to low-wage countries, notably China, to enhance returns on investment, maintain low production costs, and contain inflation. However, offshoring also brought domestic challenges: it contributed to job losses in the US and eroded the bargaining power of labour unions (Siddiqui, 2012).
Over the past several decades, US-driven globalization—enabled by liberalized capital flows and trade agreements—has not only expanded global trade volumes but also transformed the organization of production. Whereas goods were once manufactured entirely within a single country, modern production is characterized by geographic fragmentation and cross-border interdependence. This evolution has elevated the strategic importance of supply chain management (SCM), which coordinates and optimizes the flow of materials, finances, and information from raw materials to finished products. Effective SCM can drive improvements in efficiency, cost reduction, and customer satisfaction, providing firms a crucial competitive edge in an increasingly interconnected global market.
Despite the sophistication of today’s supply chains, President Donald Trump’s recent imposition of tariffs on US imports (see Figure 1) underscores a policy approach aimed at correcting trade imbalances and generating federal revenue. However, such measures overlook the potential for retaliatory actions by key trading partners, thereby risking further disruption of global trade systems and undermining the intended economic benefits (The Guardian (2025b).
II. The Limits and Complexities of Tariff-Based Industrial Revival
Rather than engaging in direct economic competition with China, the US appears to be adopting a strategy to disrupt China’s economic ascent. This strategy includes punitive tariffs, restrictions on Chinese access to advanced technologies, and an assertive military posture intended to encircle China. At the same time, the US has provided both rhetorical and material support to dissident groups among China’s minorities. Collectively, these measures signal a broader strategic objective: preventing China from emerging as a serious rival to US global hegemony (Siddiqui, 2018a).
The recent US-led trade war is emblematic of this approach. Rather than constituting a conventional trade dispute, it is designed to destabilize the global economy, reverse the momentum of globalization, and introduce inflationary pressures and uncertainty into international markets. Such a policy, however, carries significant risks and unintended consequences—not only for China but for the global economy and the US itself.
Tariffs can yield short-term benefits by shielding domestic industries from foreign competition, but this protection often comes at a cost. When firms are insulated from competitive pressures, they may have fewer incentives to innovate, improve efficiency, or diversify consumer offerings, ultimately undermining long-term productivity and economic dynamism. While many nations, including the US, have historically used tariffs to nurture infant industries, such strategies rely on careful implementation and are limited in scope (Siddiqui, 2018b).
The current US turn toward protectionism represents a stark departure from its longstanding commitment to free trade—a system it once helped establish and promote. Today, however, the US criticizes this system as inherently unfair. This pivot adversely impacts developing countries, which are forced to purchase higher-priced American goods, thereby deepening debt burdens and exacerbating economic hardship across the Global South.
Historically, manufacturing was the backbone of the US economy, generating substantial profits during the 1950s (Siddiqui, 1995). By the 1980s, however, rising labour costs and declining industrial profitability spurred a shift toward high-value sectors such as banking, finance, information technology, and digital services. This economic transformation has persisted into the present; in 2024, the US exported over US$1 trillion in services—more than any other country—underscoring its dominance in high-value industries.
Figure 1: The United States Effective Tariff Rate from 1890 to April 5, 2025 (%).
Significant structural changes have reshaped the US economy over the past several decades. In 2024, only 9% of the American workforce was employed in the manufacturing sector—a stark contrast to 1980, when manufacturing accounted for approximately 39% of total employment. Similarly, manufacturing now constitutes just 10.2% of the US GDP, amounting to $2.3 trillion. When considering both direct and indirect contributions, manufacturing accounts for 17.1% of total GDP. While this remains a substantial component of the economy, its relative importance has declined in comparison to dominant sectors such as services, healthcare, education, and finance.
The erosion of the US manufacturing base is not limited to employment and output; it has also had profound implications for industrial capacity and supply chain sovereignty. For instance, the production of complex consumer electronics like the iPhone depends on components such as batteries, semiconductors, and rare earth elements—none of which are manufactured at scale within the US. Instead, these components are sourced from international supply chains, particularly in East and Southeast Asia. Decades of offshoring have not only displaced industries and skilled labour, but also undermined domestic entrepreneurship, manufacturing ecosystems, and technical expertise.
As illustrated in Figure 2, the share of global manufacturing attributable to the US has declined sharply over time. In contrast, China’s share has surged—from negligible levels in 1990 to over 30% in 2024, making it the world’s largest manufacturer. Japan and Germany have experienced gradual declines in their manufacturing shares over the same period, while South Korea has seen modest growth.
Furthermore, in recent decades, US corporations have increasingly prioritized short-term shareholder value over long-term productivity and innovation. Over the past thirty years, many US firms have directed the majority of their profits toward dividend payments and stock buybacks, often at the expense of capital reinvestment, research and development, and workforce training. This short-termism has contributed to a weakening of industrial competitiveness and a diminished capacity for technological leadership.
III. Historical Precedents of Protectionism and Industrial Policy
Historically, virtually all now-developed countries employed protectionist policies during their early stages of industrialization. In the US, for instance, Alexander Hamilton championed the use of tariffs in the early 19th century to promote domestic industries. Similar strategies were implemented earlier in Britain, and later adopted in Germany and Japan, as integral components of broader industrial development agendas. Effective industrialization typically requires more than just shielding select sectors from foreign competition. It also demands comprehensive policy support, including investments in education and skill development, the cultivation of a capable labour force, access to affordable credit, favourable interest rates, and coordinated industrial planning. Building a robust and competitive industrial base necessitates long-term strategic commitment—sporadic factory investments or isolated policy interventions are insufficient to generate sustained growth and technological advancement.
Moreover, the imposition of tariffs does not automatically lead to industrial revival. The relocation of manufacturing operations is costly, time-consuming, and often infeasible unless firms are assured that such tariffs will be maintained over the long term. If viewed as temporary or politically unstable, tariff regimes may discourage companies from reshoring production. Poorly conceived protectionist measures can also lead to higher operational costs and reduced global competitiveness. At the macroeconomic level, tariffs frequently result in elevated consumer prices, contributing to inflationary pressures. When combined with rising inequality and stagnant wages, this can suppress aggregate demand and, in severe cases, trigger economic slowdowns or recessions.
Contemporary economic discourse remains heavily dominated by neoclassical paradigms that prioritize market efficiency while neglecting structural inequality. This intellectual orthodoxy bears a resemblance to the role played by the Catholic clergy in the Middle Ages—when natural disasters were often attributed to the moral failings of the poor, thereby absolving elites and rulers of responsibility. Similarly, modern economic narratives tend to individualize poverty and underdevelopment, often framing them as consequences of personal failings rather than systemic injustices. This tendency obscures the structural advantages enjoyed by economic elites and impedes critical engagement with wealth concentration, inequality, and the status quo (Siddiqui, 1989).
Despite the mass starvation, substantial quantities of food—such as wheat and livestock—continued to be exported from Ireland, primarily to England.
Historically, the consequences of free trade in colonial contexts have often been devastating. One of the most tragic examples is the Irish Famine of 1846–1848, precipitated by a potato blight that decimated the staple food crop. The humanitarian crisis was exacerbated by several structural factors, including overreliance on a single crop, a deeply exploitative system of absentee landlordism, and the inadequate relief efforts of the British colonial administration. Despite the mass starvation, substantial quantities of food—such as wheat and livestock—continued to be exported from Ireland, primarily to England. This paradox of food exports amid widespread famine intensified the suffering, ultimately claiming over a million lives and forcing another million to emigrate, mainly to North America and Australia.
Charles Edward Trevelyan, then British Secretary to the Treasury, notoriously remarked that “God’s judgment sent the calamity to teach the Irish a lesson… Plague is an effective mechanism to control the population.” His comments encapsulated a broader colonial mindset that dehumanized colonized populations and rationalized state inaction. A similar pattern played out decades earlier during the Bengal Famine of 1770 under the rule of the British East India Company. Roughly one-third of Bengal’s population—over 10 million people—perished as colonial authorities failed to provide meaningful relief. In both instances, British officials invoked Malthusian theories to justify neglect, framing mass death as a natural corrective rather than acknowledging the structural causes and administrative failures that exacerbated the disasters (Siddiqui, 2020c).
IV. Economic Size, Growth Trajectories and Trade Flows
As of January 2025, the US boasts a Gross Domestic Product (GDP) of approximately US$25.5 trillion, compared to China’s US$18 trillion. On a per capita basis, the US leads with an income of US$82,800, while China’s per capita income stands at about US$12,600. Looking ahead, forecasts for 2025 expect the US GDP to grow at an annual rate of approximately 2.4%, whereas China’s economy is anticipated to expand by 4.8%. Collectively, these two economic giants account for nearly one-third of global trade, highlighting their central roles in the international economic order.
International trade expressed as a percentage of the GDP (sum of exports and imports of goods and services, divided by gross domestic product). Trade has expanded markedly over the past few decades, as illustrated by Figure 3. However, since the onset of the global financial crisis in 2008, there has been a notable decline in the share of trade relative to GDP, particularly in China. In response to the crisis, China adopted an inward-focused economic strategy, investing heavily in domestic infrastructure and services to stimulate internal markets and boost employment (World Bank, 2025; Dadush, 2022).
Figure 3: Trade as a Share of GDP from 1960 to 2023 (%).
Trade between the US and China remains substantial. In 2024, bilateral trade totalled US$582.4 billion. US exports to China reached US$143.5 billion, while imports from China climbed to US$438.9 billion, resulting in a US trade deficit of US$295.4 billion. Comparatively, in 2023, US exports to China amounted to US$147.7 billion, with imports totalling US$426.8 billion, yielding a trade deficit of US$279.1 billion (see Figure 4). These figures underline the persistent imbalance between US exports and imports with China.
The structure of trade between the two nations reflects their distinct economic profiles. In 2024, US exports to China were primarily dominated by agricultural products—such as soybeans—and energy commodities like crude petroleum and petroleum gas. Conversely, US imports from China were centred on manufactured goods, including broadcasting equipment, computers, and office machine parts. This product composition underscores the differing competitive advantages: while the US excels in high-value agricultural and energy sectors, China maintains strength in the manufacturing of electronics and other consumer goods.
Figure 4: United States Trade Deficit with China from 1985 to 2023.
V. China’s Evolving Trade Network and Economic Diversification
It is important to note that the global economic landscape has shifted considerably since 2018. In 2024, China’s trade strategy has evolved, with the nation diversifying its economic ties and increasingly relying on partners from the Global South. Contrary to earlier years when the US was China’s largest trading partner, recent data indicate that East Asian countries now dominate China’s trading relationships (see Figures 5a and 5b) Furthermore, China has broadened its trade network by expanding economic cooperation with Russia and other BRICS nations, leading to an export portfolio that now favours markets in the Global South over those in the Global North (Siddiqui, 2024c).
Under the auspices of the Belt and Road Initiative (BRI), China has sought to boost its export capacity globally. As a result, in 2024, 47% of China’s exports were directed to markets outside of the US (See Figure 6). In stark contrast, only 13% of China’s total exports were destined for the US market in 2024—down from 23% in 2018. Despite this diversification, however, certain product categories—particularly electronics and raw materials crucial for manufacturing—remain heavily reliant on access to the US market. This dual strategy of diversification combined with selective dependency underscores China’s efforts to rebalance its international trade relationships while maintaining competitive strengths in key sectors (Siddiqui, 2021).
VI. Strategic Economic Interdependencies and Supply Chain Vulnerabilities
In 2024, China continued to consume 14% of total US agricultural exports—valued at approximately US$27 billion. However, recent months have witnessed a marked shift: China has increasingly sourced food from Argentina, Brazil, and Russia, as it pursues a dual strategy of diversifying its import partners and bolstering domestic production. This strategy includes significant investments in domestic food cultivation, initiatives to reclaim unproductive desert and coastal lands for agriculture, and the development of a comprehensive food safety policy.
Beyond agriculture, critical sectors such as pharmaceuticals remain intertwined with Chinese supply chains. The US pharmaceutical industry, for instance, relies heavily on China for vital active pharmaceutical ingredients (APIs), with India serving as a secondary supplier. Without this crucial input from China, production of many essential medicines could face severe disruption. Similarly, China plays a key role in supplying rare earth materials to the US—a dependency underscored in Figure 7—with tariff impositions likely to adversely affect American companies that depend on these raw materials.
China now exports products such as electronics and machinery to the US market, earning its reputation as the ‘world’s factory.’
Regarding US tariffs, Elliott (2025) observes: “It is not only the multilateral economic system that is under assault, but every single pillar of the rules-based order, from respect for the law to the self-determination of nations and historic commitments to humanitarian aid. Indeed, we are seeing a simultaneous breakdown in economic and geopolitical orders … The US exports less to China than its imports from China, and this gap has widened since China joined the WTO in 2001. China now exports products such as electronics and machinery to the US market, earning its reputation as the ‘world’s factory.’ Trump seeks to reverse these trends by imposing tariffs on Chinese imports. However, in recent years, China has significantly reduced its dependence on the US market by redirecting trade toward other emerging economies. The overall result, some argue, will be higher consumer prices, slower economic growth, and potentially a recession in the US, as its trade deficit with China accelerated post-2001. In 2024, China exported only 13% of its goods to the US—a decline from 23% in 2018.”
China has long reinvested its export surpluses into US assets, particularly Treasury bonds, helping to finance US fiscal deficits, support the dollar, and fuel import growth. As of April 2024, foreign entities hold about US$7.9 trillion in US Treasurys—22.9% of total US debt. The top five holders are Japan ($1.1 trillion), China ($749 billion), the UK ($690.2 billion), Luxembourg ($373.5 billion), and Canada ($328.7 billion). In the early 2000s, China’s rapid growth and foreign investment led to massive foreign reserves, peaking at $1.3 trillion in US Treasurys in 2013 (see Figure 8). Recently, China has reduced its holdings, reallocating funds toward initiatives like the Belt and Road Initiative (BRI), into which it invested about $50 billion in 2023 to deepen global economic ties.
Figure 8: The United States Foreign-owned Debts in trillions of US dollars, April 10, 2024.
The US efforts to hinder China’s technological rise have largely fallen short. Despite banning key companies—such as those in 5G, semiconductors, and electric vehicles—China has become a global leader in 57 of 64 critical technologies by 2025, driven by its “Made in China 2025” strategy and strong government support that fostered domestic innovations like BYD and DeepSeek.
Globalization over the past forty years has produced integrated supply chains that rely on cost-effective international production. Companies like Boeing source components worldwide, making the prospect of recreating a complete domestic supply chain unrealistic given the specialized competencies developed abroad. US tariffs now risk disrupting these networks, leading to higher costs and inefficiencies.
Moreover, such tariffs hurt workers in both developed and developing countries. In the US, they can increase consumer prices and fuel inflation, while in the Global South, reduced exports and depreciated currencies tend to lower wages and exacerbate unemployment. Rather than rely on protectionism—which mainly shifts costs onto consumers and destabilizes trade—policymakers should consider economic decoupling from an overreliance on the US market. Strengthening trade cooperation and diversifying supply chains among major Global South economies (such as China, India, Indonesia, Iran, Malaysia, Russia, Brazil, Nigeria, and South Africa) can help mitigate tariff-induced disruptions and promote a more resilient, equitable global trading system.
Dr. Kalim Siddiquiis 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
Dadush, U. (2022) “Deglobalisation and Protectionism” Bruegel Working Paper, No. 18/2022, Bruegel, Brussels.
Elliott, L. (2025) “I’ve seen many phoney trade wars come and go: This is the real thing” The Guardian, April 9, London.
Siddiqui, K. (2025) “Donald Trump’s Tariffs: A Prelude to Global Trade Wars?” World Financial Review, April.
Siddiqui, K. (2024a) “Trends and Prospects of De-Dollarization in the Rapidly Changing Global Economy” World Financial Review, Part One & Part Two, December.
Siddiqui, K. (2024b) “China’s Growth Miracle and Development Strategy Since the 1980s” World Financial Review, December, pp.11-25.
Siddiqui, K. (2024c) “The BRICS Expansion and the End of Western Economic and Geopolitical Dominance” World Financial Review, November.
Siddiqui, K. (2021) “Trade Liberalisation, Comparative Advantage, and Economic Development: A Historical Perspective” World Financial Review, May.
Siddiqui, K. (2020a) “Prospects of a Multipolar World and the Role of Emerging Economies” World Financial Review, November.
Siddiqui, K. (2020b). “The US Dollar and the World Economy: A critical review” Athens Journal of Economics and Business. 6(1): 21 – 44.
Siddiqui, K. (2020c) “The Political Economy of Famines under Colonial India: A Critical Analysis” World Financial Review, July.
Siddiqui, K. (2018a). “US – China Trade War: The Reasons Behind and its Impact on the Global Economy” World Financial Review, November.
Siddiqui, K. (2018b). “David Ricardo’s Comparative Advantage and Developing Countries: Myth and Reality” International Critical Thought 8(3): 1-28, September.
Siddiqui, K. (2016). “International Trade, WTO and Economic Development” World Review of Political Economy, 7(4): 424 – 450.
Siddiqui, K. (2012). “Malaysia’s Socio-Economic Transformation in Historical Perspective”, International Journal of Business and General Management 1(2): 1 – 50.
Siddiqui, K. (1995) “The Myth of the Free Trade”, The Nation, January 13.
Siddiqui, K. (1989) “Neo-Classical Economic Theory: A critical perspective” Klassekampen (in Norwegian) August 31& September 1, Oslo, Norway.
The Guardian (2025a) “US-China trade war intensifies as Beijing’s tariffs come into effect after Trump pause” April 10, London.
The Guardian (2025b) “Fundamentally wrong, brutal and paranoid’: how will the world respond to Donald Trump’s tariffs?” April 5, London.
China has taken center stage in the Philippines’ midterm elections, with President Ferdinand Marcos Jr. turning simmering tensions in the South China Sea into a central campaign issue ahead of Monday’s vote.
Normally focused on local governance and Senate seats, this year’s polls have seen a marked shift. Marcos, elected in 2022, is using the election to rally public sentiment around national sovereignty, drawing sharp contrasts between his administration and that of former President Rodrigo Duterte, whose daughter, Vice President Sara Duterte, has emerged as a key rival.
“Will we allow ourselves to return to the time when our leaders wanted us to become a province of China?” Marcos asked supporters during a February rally, referencing Duterte’s historically warm stance toward Beijing.
The Marcos administration has taken a tougher line on maritime disputes, publicly condemning recent Chinese aggression in Philippine waters, from water cannon attacks on coast guard vessels to interference with local fishermen. His team has painted the opposition, particularly Sara Duterte, as soft on Beijing.
None of his endorsed candidates, Marcos claimed, ever applauded China “when our coast guard was being bombed with water” or when “our fishermen were being blocked.”
Public opinion appears to back Marcos’ approach. A recent nationwide poll showed that most voters favor Senate candidates who support defending the country’s maritime claims. Analysts say foreign policy, once a fringe topic during elections, has now taken center stage.
“These are hot-button issues now,” said Ederson Tapia, a public administration professor at the University of Makati. “Filipinos care more than ever about our sovereignty and our security.”
Tensions are also high on the political front. Sara Duterte is facing an impeachment trial on serious charges, including allegedly threatening to assassinate the president. She has denied wrongdoing and petitioned the Supreme Court to void the complaint. Her silence on Beijing’s actions has drawn criticism from the Marcos camp, who accuse her of political evasion.
With the Senate acting as jury in impeachment proceedings, the outcome of the vote could decide Sara Duterte’s political fate — and shape the 2028 presidential race. Marcos, limited to a single term, is widely expected to endorse a successor.
“A strong midterm showing would give Marcos momentum,” said political analyst Dindo Manhit. “It would also raise the stakes for those eyeing the presidency, including the vice president, who has yet to take a firm position on China.”
Meanwhile, concerns about foreign interference and disinformation have clouded the campaign season. Up to 45 percent of online election conversations are reportedly driven by fake or inauthentic accounts, and senior officials have alleged attempts by China-linked actors to sway public opinion — claims that Beijing has denied.
As the Philippines heads to the polls, the vote has become more than a test of political loyalties. It has become a referendum on the country’s identity, foreign alliances, and the future of its democracy.
Cardinal Robert Prevost of Chicago has been elected as the 267th pope, making history as the first pontiff from the United States. At 69, he chose the name Pope Leo XIV and stepped into the leadership of the world’s 1.4 billion Catholics.
On Thursday evening, Pope Leo XIV appeared on the balcony of St. Peter’s Basilica, greeting the thousands gathered in the square with the words, “Peace be with you all.” Dressed in traditional papal robes, he honored the late Pope Francis and called on the Church to continue its mission of unity, charity, and dialogue.
“We must be a missionary church. A church that builds bridges, shows charity, and enters into dialogue with love,” Pope Leo XIV said in Italian. He then addressed the people of Chiclayo, Peru, in Spanish, where he had served for years as a missionary and bishop. His deep ties to Latin America and his long global service played a crucial role in his swift election, which came just two days after the conclave began.
Pope Leo XIV succeeds Pope Francis, who shifted the Church’s focus away from divisive debates on sexuality and doctrine, instead championing the poor and vulnerable. Pope Leo XIV is expected to continue some of these reforms while forging his own path.
As the former head of the Vatican’s office overseeing bishop appointments, Pope Leo XIV is regarded as a calm and capable leader. He also led the Augustinian order for over a decade and holds both U.S. and Peruvian citizenship.
World leaders have welcomed his election. President Donald Trump called it a “great honor” for the United States, while Peru’s President Dina Boluarte praised Pope Leo XIV for walking with the poor and embracing the hopes of her people. Vice President JD Vance, a convert to Catholicism, offered prayers for Pope Leo XIV’s leadership.
Challenges lie ahead for the new pontiff. He must navigate a divided Church, address the ongoing clergy abuse crisis, and consider how to respond to global conflicts. While Pope Francis took significant steps to improve transparency and accountability, critics argue that much work remains.
In a past interview, Pope Leo XIV acknowledged the progress made and the work still to be done, saying, “There is still much to learn.”
Pope Leo XIV’s papacy begins just ahead of the Church’s 2025 Jubilee Year, a global celebration that will place him at the center of major religious events. How he balances tradition with reform, diplomacy with doctrine, and continuity with change will define his legacy.
When Joe Whittinghill talks about generative AI, it’s not from the outside looking in. As Microsoft’s recently retired Chief Talent and Learning Officer, Whittinghill spent 25 years at the tech giant, working across HR, finance, M&A, and most recently, spearheading culture and learning transformation efforts alongside the CEO and CHRO. He shared in my interview with him a deep understanding of organizational learning and talent development that has given him a unique vantage point on how generative AI is reshaping work—and why hands-on training is the key to unlocking its promise.
Embracing the Frontier of AI Through Practice
Whittinghill is quick to frame generative AI as not merely a trend, but a generational inflection point. “It’s going to be one of the biggest changes not only to work and learning, but to human life that we’ve seen in generations,” he says. From accelerating pharmaceutical development to transforming corporate education, the possibilities are vast—but so are the fears.
What he’s seen, both at Microsoft and in the broader landscape, is that anxiety around AI often stems from uncertainty. “People think they’re going to lose their job to a robot or some software program,” he explains. But the solution, he argues, isn’t to retreat from the technology—it’s to engage with it directly. That’s why, across Microsoft, from engineers to HR professionals, employees were encouraged to start experimenting with AI tools early and often.
“Just start playing with it,” he advises. “Familiarity brings down anxiety.” It’s a deceptively simple but profoundly effective strategy. Whether it’s a CEO or an early-career employee, hands-on interaction with AI helps demystify its capabilities and lowers the psychological barriers to adoption.
Why Hands-On Training Works
One of the biggest insights from Whittinghill’s experience is that active experimentation—what is called “learning in the flow of work”—is the most effective approach to AI adoption. “Hands-on training has been so far the most successful approach, because success begets success,” he notes.
This learning-by-doing model is powered by natural language processing (NLP), which allows users to engage with AI conversationally. The barrier to entry is lower than with earlier technologies. “You write a sentence like you’re talking to someone, like you’re asking a librarian,” Whittinghill says. “It’s not a search engine—it responds to your questions and remembers the conversation and builds on it.”
Because of that, microlearning modules, real-time coaching, and interactive workshops with live AI tools outperform traditional training formats. It’s not about memorizing functions, but about building confidence through use. The act of experimenting—and seeing meaningful results—is the most direct path to capability.
Addressing Fear and Building Trust
Despite its user-friendly interface, generative AI still generates resistance. One of the major roadblocks Whittinghill highlights is fear—specifically, fear of obsolescence. Citing the World Economic Forum’s projection that 40% of core skills used today will be irrelevant in a few years, he emphasizes that this kind of transformation can spark existential anxiety.
“When you impact people’s livelihoods, anxiety really spikes,” he says. But instead of avoiding that fear, Microsoft tackled it head-on with transparent communication, education, and clear examples of AI’s benefits at work and home. Whittinghill frequently pointed to real-world applications—like AI helping farmers optimize water use in drought-prone areas—to illustrate how the technology could support, not replace, human expertise.
Moreover, giving employees early wins with AI not only builds skills, it boosts morale. “Humans love to learn,” he adds, “but more than that, they love success.” That sense of accomplishment becomes a powerful motivator in reducing resistance to change.
Personalized Development, Powered by AI
Beyond learning, AI is also transforming people development. One of the most promising areas Whittinghill highlights is the rise of personalized AI agents that assist employees in real time. These tools go beyond training—they act as intelligent coaches, helping managers prepare for one-on-ones by recalling past conversations, nudging them with follow-ups, and even suggesting moments to discuss career goals.
These systems, while still maturing, promise to make employee development more timely, tailored, and human-centered. However, they hinge on privacy. “The AI needs to know who you are, and what you’re working on,” Whittinghill explains, “but only if that data is secure.” Microsoft, he says, has been vocal about calling for regulation and ethical boundaries to protect user data—especially in sensitive areas like mental health, where AI also holds great promise.
His work with the University of Washington’s mental wellness board has exposed him to the emerging potential of AI-driven therapy tools, but also the critical importance of human oversight. The message is clear: trust is as important as technology.
Shaping the Future of Work, One Prompt at a Time
Looking forward, Whittinghill is optimistic that AI can help organizations move toward more balanced, human-centered work models. He points to Northern European countries as examples of productivity without burnout. “They’re very focused when they’re at work, and they deeply value time with family and community,” he says. AI, he believes, can help other regions catch up—not by replacing work, but by making it more efficient.
Whether it’s AI preparing your taxes or organizing a family calendar, Whittinghill sees a future where technology frees us to spend more time on what matters. And yet, this isn’t a future that builds itself. It requires leaders and employees alike to get involved, iterate, and adapt.
He recalls a recent speech to broadband providers in Montana—organizations ranging from four-person teams to large companies. His advice was consistent: “Don’t start with your AI strategy. Just start using it. Unleash your employees to experiment.”
And perhaps most powerfully, he believes generative AI marks the return of a lost art: rhetoric. Not in the classical sense, but in the practical one. “It’s the skill of communication and persuasion,” he says. “Your prompts, your questions—that’s how you get clarity.” In his view, those who become rhetoricians of the digital age—clear, curious, and courageous—will thrive.
The Path Forward
Joe Whittinghill’s message is both simple and profound: the best way to learn generative AI is to do it. By encouraging curiosity, hands-on engagement, and a culture of safe experimentation, leaders can empower their organizations to embrace the AI era with confidence, not fear.
The future of work isn’t about mastering a new tool—it’s about evolving our mindset. And as Whittinghill makes clear, the sooner we roll up our sleeves and get our hands on the technology, the better prepared we’ll be to shape what comes next.
ADHD is a widespread disorder that affects many people, influencing how effectively they function in daily life and their relationships. Effective management requires choosing an appropriate treatment centre. This guide aims to support individuals seeking treatment options for themselves or their children by explaining how to select an ADHD treatment center.
Understanding ADHD
ADHD is a neurodevelopmental disorder that causes inattention, hyperactivity, and impulsivity. Symptoms vary widely and can affect academic performance, social interaction, and self-esteem. We are making strides toward a better quality of life through early detection and prevention of treatment. Finding anADHD treatment center in San Diego could be a helpful step for those seeking support.
Identifying Needs
Identifying specific needs is an essential step before selecting a treatment facility. Consider the patient’s age—children and adults often require different approaches. Evaluate the nature and severity of the disorder to decide the appropriate level of care needed. Knowledge of the previously mentioned factors can help narrow down some options!
Types of Treatment Centers
ADHD Treatment Centers: These can be outpatient programs or residential care. Outpatient centers are for people who require regular therapy sessions but do not need assistance with normal daily activities. Residential centers offer 24-hour intensive care for those needing more significant levels of support. Consider the options concerning unique individual situations.
Comparing Treatment Approaches
Treatment centers use various modalities to treat ADHD. These approaches include behavioral therapy, medication management, and counseling. Specific centers, however, may offer additional services such as work-related therapy, educational services, and parental therapy. Investigate the center’s therapeutic approach and ensure it matches the person’s needs and desires.
Evaluating the Expertise and Credentials
Of course, the qualifications and experience of the treatment staff are essential. Make sure centers have licensed professionals who treat ADHD. Check if the center has accreditation and a good reputation in the healthcare community. Positive reviews and testimonials give you an idea of its success and what its clients think.
Location & Transportation
We’re told that location is the first consideration when choosing a treatment facility. Especially for outpatient programs, distance from home can increase the burden of multiple visits over weeks or months. Think of transportation possibilities and the accessibility of the center. The accessibility of the treatment process could determine whether someone hesitant to engage in treatment continues.
Assessing Costs and Insurance Coverage
Costs of treatment vary significantly, and knowing the financial impact is crucial. Call possible centers to ask about fees and payment plans. Verify the center’s acceptance of insurance and the services it covers. This procedure allows for proper budgeting and ensures that treatment stays within a reasonable price range in the future.
Visiting Potential Centers
Visit centers before deciding on a place to go. Observing the community gives a lot of information about the quality of service. When visiting them, inquire about the daily activities, the staff-to-patient ratio, and the protocol for handling emergencies. An appointment with the staff could also reassure the treatment and services concerned.
Family Members and Support Systems
Including family members and support systems in the treatment process has benefits. Many centers provide sessions that integrate parts of family therapy to involve relevant individuals in the individual’s life. Family involvement can also increase encouragement and understanding, thus improving the whole treatment process.
Checking Support After Treatment
ADHD is unlikely to succeed in isolation. Ask what post-treatment services are available, including follow-up appointments, support groups, ongoing therapy sessions, and centers for long-term care to help maintain progress and prevent relapse.
Comparing Options
Research and compare various centers according to some of the most vital factors. Evaluate the quality of care, services offered, costs incurred, and their location. Compile your list of advantages and disadvantages of every particular facility so you can make a better decision. This approach provides them with a structure to ensure a holistic assessment.
Making a Decision
This decision must be well-informed by all information thus far. Be brave and trust your gut—you want to keep this person in the best state possible. The right centre can help manage ADHD more effectively, improve the quality of life, and allow people to reach their potential.
Conclusion
Choosing the proper ADHD treatment center is an essential step in the right direction when deciding how to manage the condition effectively. Individuals and households can weigh their options by carefully evaluating their needs, options, and critical factors. However, in a practical and supportive treatment environment, this ability to make changes can be substantive, allowing the individual to learn to empower themselves.
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...
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Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.