Home Blog Page 128

AI in Procurement: From Cost Reduction to Strategic Value Creation

For decades, procurement has been synonymous with cost reduction, efficiency improvements, and supply chain management. This traditional role, while important, often placed procurement in a secondary position within organizations—a function aimed at saving money rather than contributing to strategic growth. However, as modern enterprises evolve, the role of procurement is undergoing a seismic shift. Procurement is no longer confined to negotiating supplier contracts or minimizing expenses; it has become a crucial driver of long-term value creation, innovation, and risk mitigation.

The Impact of AI in Procurement: A Game-Changer

Artificial intelligence has catalyzed this transformation. AI-powered solutions in procurement are revolutionizing how businesses manage sourcing, supplier relationships, and spend analysis. AI-driven systems, specifically AI Copilots, have emerged as sophisticated tools that automate routine tasks, enhance decision-making, and empower procurement teams to focus on strategic initiatives. These AI Copilots serve as virtual assistants that handle everything from supplier data management to contract analysis, freeing up human capital to focus on higher-level tasks.

Tonkean’s Enterprise AI Copilot, for instance, exemplifies how organizations can leverage AI to streamline procurement processes and elevate procurement from an operational cost center to a strategic function within the business ecosystem.

From Cost Reduction to Strategic Value Creation

Procurement has long been regarded as a cost-saving tool. The primary objective was to drive down expenses through negotiations and contracts, often prioritizing immediate savings over long-term supplier relationships or innovation. AI, however, is shifting this paradigm.

AI does more than simply optimize procurement processes for cost savings—it enables organizations to harness procurement as a key driver of value creation. By using AI to analyze large sets of data in real time, businesses can identify opportunities for innovation, predict market trends, and create more collaborative partnerships with suppliers. AI empowers procurement teams to take a proactive role in shaping the future of the organization, aligning procurement efforts with business growth objectives rather than just focusing on operational efficiency.

AI Copilots: Transforming Procurement into a Strategic Partner

AI Copilots are not just software tools; they are strategic assets that transform the procurement function into a pivotal business partner. These copilots automate routine procurement activities, such as invoice processing and purchase order management, reducing the administrative burden on procurement teams. This allows them to focus on strategic decision-making and supplier innovation.

Moreover, AI Copilots enhance supplier relationships. By providing predictive insights, they enable procurement teams to foresee potential disruptions in the supply chain and to collaborate more effectively with suppliers. AI can suggest alternative suppliers or highlight opportunities to negotiate better terms, thus driving innovation and continuous improvement across the supply chain.

The automation provided by AI Copilots ensures that procurement processes become more agile, allowing for faster responses to changing market conditions, while also enhancing accuracy and reducing human error. This improved efficiency doesn’t just save money—it drives a more strategic and value-focused approach to procurement that resonates across the entire organization.

For more insights into how AI Copilots are revolutionizing procurement, check out Tonkean’s Enterprise Copilot.

The Future of AI-Driven Procurement

The integration of AI into procurement is only the beginning. As AI technologies evolve, their role in procurement will expand, with predictive analytics becoming a cornerstone of procurement strategy. Predictive analytics, powered by AI, will allow procurement teams to anticipate market shifts, foresee risks, and identify new growth opportunities well in advance. This data-driven foresight will further position procurement as a critical player in achieving long-term business success.

In the near future, AI will not only support procurement but will reshape it into a core business strategy, aligning procurement objectives with enterprise-wide goals. The procurement team, armed with AI-powered insights, will play a key role in driving innovation, improving sustainability efforts, and delivering consistent value to stakeholders.

Ultimately, AI’s influence on procurement extends far beyond cost savings. It transforms procurement into a strategic function capable of driving value creation, innovation, and sustainable growth for the organization.

Why Trump Won: And Some Consequences

By Dr. Jack Rasmus

It’s now more than 48 hours after the election, the dust has settled, and the results are in except for a late counting in the state of Arizona–the outcome of which won’t affect the results of the election. Trump has won an undeniable victory, both in the electoral college and in the popular vote.

Political pundits, pollsters, and over-paid political strategists who seem to get it wrong repeatedly every election cycle are now concocting all manner of explanations and mightily spinning their excuses. Some say Harris lost because the Democrats’ ‘ground game’—i.e. get out the vote efforts—failed; or that the $1 billion in campaign contributions she received during the summer was ill spent; or her TV ads were poorly focused; or her ‘politics of joy’ theme grated on the mood of voters who were anything but happy. But all these tactical explanations of the Democrats’ devastating defeat—which was across the board and not just for Harris—are obviously irrelevant.

The pundits and political strategists who forecasted the election wrong are now failing to understand its results as well. Here are the more important takeaways from the election:

A Popular Vote Anomaly?

The electoral college result thus far, with Arizona’s 11 votes pending, is 301 for Trump and 226 for Harris (270 needed to win). Trump also won the popular vote with 73.4 million vs. 69.1 million for Harris—as of the popular vote count late November 8.

Perhaps the most glaring indicator of what went wrong for Harris, however, is the big shift in the popular vote away from Democrats in 2024. In 2020 the Democrats polled 81 million votes in the presidential race. In 2024 so far only 69.1 million. That’s 12 million fewer votes for Democrats! How to explain that fact?

Did all the 12 million cross over to Trump? Apparently not. Trump’s 2024 popular vote was not that much different from 2020. He received 74 million in 2020 and in 2024 so far about 73.4 million.

These contrasting numbers raise two interesting questions:

Where did Harris’s missing 12 million popular votes go, if not to Trump? The corollary question also arises: did Biden and the Democrats really receive 81 million votes in 2020?

Whichever the explanation, the mainstream legacy media (CNN, MSNBC, NY Times, WAPO, etc) are conspicuously avoiding any analysis of this missing 12 million or the apparent vote count anomaly.

But one thing is irrefutable in the official vote tally: roughly 13 million fewer turned out to vote for either candidate in 2024 and 12 million were Democrat voters. The only logical conclusion therefore is that 12 million Demorcrat voters apparently stayed home and did not vote. So why?

Whatever the popular vote, it is irrelevant for US presidential elections. Only the archaic electoral college vote matters. Why the USA keeps that institution when it allows ‘one person one vote’ for all other voting for members of Congress is interesting. Two-thirds of voters have indicated in multiple surveys recently that they want a direct vote for the president and an end to the Electoral College.  Why both parties continue with the system says much. Nevertheless it’s a question—like a Florida 2000 election ballot ‘chad’—that will be left hanging for now.

Electoral College Vote Repeat

Trump’s 301 (eventual 312) electoral college votes confirms this writer’s prediction this past summer that the swing states would flip back to 2016 numbers and Trump. 2024 would be a 2016 swing states déjà vu election.

In the 2020 election, Biden’s electoral college vote was 306 to Trump’s 232. In 2016 Trump won 304 electoral college votes to Hillary Clinton’s 227. The winning margins of 304 (2016), then 306 (2020), now 301 (312) in 2024 is not merely coincidental.

The largely similar electoral college counts in 2016, 2020, and 2024 suggests strongly that deeper forces in the US political system created a shift beginning 2016 and have continued ever since.  

Trump’s election in 2016 was therefore not the aberration as many Democrats and mainstream media argued in 2020; Biden’s in 2020 was.

Events of the past decade suggests the fallout from the economic crash and crisis of 2008-10 is still having its longer term political impact. Voters’ overwhelming concern with economic issues in 2024 reveal it is still reverberating. In 2024 it was manifested in inflation. In 2020 it was massive Covid job loss. Since 2008 it’s been the steady decline in real income and living standards for tens of millions of American households—amidst the accelerating income and wealth for the 1% or 5% households largely attributable to accelerating financial asset markets and values.  As one famous pundit said more than three decades ago: “It’s the economy, stupid!”

One might clarify that: “it’s the lopsided economy, stupid!” Economic conditions have deteriorated much further since the 1990s when that statement was made, especially after the 2008-10 crash and crisis followed by the Covid induced crash. Some political elites apparently never learned the economic lesson.

Throughout this past summer this writer has been predicting Trump would win the electoral college vote by slightly more than 300—by 302 to 236 to be exact. This forecast was based on the assumption he would win all the seven swing states, except for Michigan. In retrospect he has won the latter state as well. (see my piece “November 2024: A Swing States Déjà vu Election?” at the LA Progressive website last week).

Inflation and other economic conditions during the Biden years were firmly established by opinion polls since the start of 2024 as the primary concerns of voters, thereafter strongly confirmed again in the September Gallup poll. 

Put in a long term perspective, Trump’s victory over Hillary Clinton in 2016 and her loss of the ‘blue wall’ states in the north can be largely attributed to the weak GDP economic recovery after 2010 and the even weaker related job recovery during the Obama years. GDP grew around only 60% of normal after 2010 when compared to the prior nine US recessions since 1948. More importantly, jobs lost after 2007 due to the 2008-09 crash did not recover to 2007 levels until 2015. It took six years just to get back to pre-recession job levels. Add to this Hillary Clinton’s well known approval of free trade treaties and its offshoring of jobs effect—as well as her strategic error of not even bothering to campaign in the blue wall states—and the result was a predictable 2016 Trump sweep of Wisconsin, Michigan and Pennsylvania and victory. It was still ‘the economy, stupid’.

In 2020 Biden also largely won for economic reasons—specifically the severe recession and job losses of 2020 due to the Covid pandemic economy partial shutdown.  Biden swept back the blue wall states and won handily—almost exactly with the same electoral college votes that Trump had won with four years earlier! That stupid old economy had not gone away.

In 2024, the Covid induced mass layoffs in 2020 no longer prevailed but were replaced by another Covid induced economic consequence: inflation which erupted in fall of 2021. Prices for goods started abating by 2023 but inflation in the much more ubiquitous services sector of the US economy remained chronically high throughout 2023 and into early 2024.

Official government statistics estimate the price level rose 24% over the four Biden years but real inflation adjusted take home pay for tens of millions of households was impacted more severely than the statistics or politicians and media suggested during the recent election.

Actual inflation impact on family budgets was more like 30%-35%, especially after considering the sharp rise in interest rates starting March-June 2023 and rise in taxes, neither of which are included in calculations of the government’s price statistics. Households also pay for interest out of their take home pay and family disposable income. Mortgage rates rose 114% under Biden. Credit card average rates rose from 16% to 23% and households carried over record level of that debt monthly. New student loan rates rose from 4% to around 7%. And new auto loans from4% to 9%. And that’s not considering local taxes and fee hikes. Or problems with the methodologies and assumptions in government price calculations that tend to under-estimate actual inflation.

Households and voters knew what the real picture of affordability was the past four years—even if politicians, media, and mainstream economists did not!

This background of the voting outcomes since 2016 and longer term economic causes raises the more immediate question ‘why Harris’ lost in 2024. It certainly wasn’t due to irrelevant tactical explanations as the media and pundits now argue. And while jobs and inflation were the critical, even key, longer term causes determining election outcomes, in themselves they still don’t explain it all. 

There were strategic failures for Harris’s defeat’; nor indeed defeat for the Democrat party in general since its losses in November were across the board in both houses of Congress, governorships, and other local elections. In addition, Trump’s strategy targeting disaffected you males, mostly working class and across racial lines, proved effective in turn.

Why Harris & Democrats Lost 

Failure to Differentiate from Biden…

High on the list of why Harris lost must be her failure to differentiate her proposals from those of Biden, especially on economic issues. When directly asked in an interview during the campaign what she would change from Biden’s policies she replied: “nothing”.  That was perhaps the turning point of sorts in the campaign. Voters weren’t looking for ‘nothing new’. They wanted economic change that directly affected their declining real take home pay that had been slashed by 30%-35% inflation since 2020.

Harris this past week experienced what might be called the ‘Hubert Humphrey’ effect. In 1968, Democrat Lyndon Johnson decided not to run for re-election. His policy for escalating the war in Vietnam, combined with the inflation of the late 1960s, meant it likely would not win. His VP was Humphrey who became the Democrat party presidential candidate that year. But Humphrey would not break with Johnson’s war policy nor did he offer any answer to the rising inflation of the mid 1960s. War and inflation doomed his campaign in 1968, which he lost convincingly to Richard Nixon.  Similarly, Harris’s refusal to break from Biden war policies in 2024 or to offer any answer how she’d lower prices for households played a big role in her defeat. Both she and Humphrey were convincingly defeated.

The Hubert Humphrey Effect should consequently be renamed the Humphrey-Harris Effect.

US voters wanted to hear specifics on how the candidates proposed to reverse the decline in their living standards. Harris gave them mostly platitudes. The Democrat party leaders may have removed Biden as their candidate over the summer, replacing him with Harris, but they left his policies intact. Voters understood they were still voting for Biden.  Especially Democrat voters as 12 million of them stayed home.

Some traditional Democrat constituencies jumped ship. Election data already show that many more black male voters voted Trump than in prior elections. So too did Hispanic voters in key swing states like Pennsylvania. Even Puerto Rican voters—who the mainstream media hyped would turn on Trump because of some comic at one of his rallies made disparaging remarks about Puerto Ricans—voted Trump in key constituencies. And there were the white suburban women who the Democrats bet would vote Democrat based on the reproductive and women’s rights issues. In key swing states like Pennsylvania it appears they too voted by narrow margins for Trump.

Identity Politics Themes No Longer Resonate….

What all this may mean is economic issues and questions of class trumped identity issues of gender, sexual orientation, and race on which Democrats had based their campaigns in recent years had become of secondary at best importance to voters. Legitimate polls like Gallup were shouting this message all year and especially in latter months of the campaign. Democrat leaders were deaf, however. They apparently believed just changing the face of their candidate and throwing billions of dollars into the race this past summer would ensure re-election. It was another big strategic error.

If Harris failed to differentiate herself from Biden, then the Democrat party leadership kept her largely campaigning on issues of identity—gender, race, and sexual orientation.

January 2021 Is Not the Issue…

A third related strategy failure was the Democrat elevation of the January 6, 2021 events and Trump’s often out of context rally statements as a key issue.  It wasn’t. It ranked well down the list in almost all voter opinion polls. Just as in 2016 allegations that the Russians were interfering in the election and had Trump in their pocket had little influence on voters choices. In 2024 did voters didn’t believe the charge that Trump was the destroyer of American democracy incarnate, a felon, or closet fascist—or just didn’t care even if true—any more than they believed in 2015 Trump was the puppet of Putin.

Both the Democrats pushing of identity issues and the personality attacks on Trump as either foreign agent or a felonious fascist gained much traction.  The economy was paramount in both 2016 and 2024, as it was in 2020. But Harris and the Democrats just couldn’t let go of the old saws and themes that no longer worked, and get focused on the economy.

Emerging Electorate & Party Realignment…

Another strategic reason why Harris and Democrats lost has to do with the shift in constituencies in the past decade.  It’s now clear that Trump has been able to start building a base in the working class, especially among young male voters. This is now being called the ‘Bros Vote’. But it’s mostly young, non-college, males who have been among the most disaffected segments of the voting population in recent decades. They are young millennials and GenZers who have experienced the most negative effects of low wages, housing unaffordability, low paying jobs at which they must work two and sometimes three to get by, and other related issues.  Democrats appear to have abandoned them, as the party has drifted steadily away from the traditional working class since the 1990s and toward suburban women, LGBTQ voter constituencies, professionals, and college graduates.  This is a cultural thing that sometimes gets expressed in elites’ slips of the tongue—like Hillary’s calling them ‘deplorables’ in 2016 and Biden recently referring to them as Trump’s ‘garbage’.

Not all of Harris’s lost is attributable to her failures or Democrat party leaders failures. Some of the loss is explainable by Trump’s own personal appeal, his policy initiatives during the campaign, and his political strategy in general.

Trump Talks & Appears Like They Do…

Part of Trump’s appeal is evident when he speaks. He’s crude, sometimes incoherent, makes off the wall statements, insults people he doesn’t like, embarrasses himself. In other words, he often sounds like them in their own every day conversations. It makes him appear authentic to them. Democrats and their intellectual, educated supporters are often shocked by this behavior. They find it abhorrent. They are turned off by the crude working class ‘banter’ that is part of normal communication for this constituency. But they live in a different cultural world than the Bros constituency as well as the working class black and Hispanics.

The difference could be viewed in Harris rally speeches and even her final concession. It was all too perfect. Not a missed phrase. Straight from the teleprompter. As if she’s reading her comments, which of course she was. Too many platitudes, canned metaphors, and planned anecdotes. In other words, not natural or authentic.

Trump’s Working Class Policy Proposals…

Overlaid on this class cultural divide is the fact that Trump appealed to working class voters with policy measures that should have been Democrat, and often were in decades past but no more. Trump proposed no taxes on tip income, which Harris quickly copied; he proposed no tax on overtime pay and to remove taxing of social security benefits—which Harris conspicuously did not copy. Trump’s proposal for child care credits were more generous than Harris’s. And his proposals on tariffs as way to force corporations to relocate jobs back to the US seemed more convincing than Harris’s which was ‘no different’ than Biden’s which was to shower grants of tens of billions on companies to bribe them to ‘onshore’ back to the US. Even Trump’s immigration proposals were often stated as job creating, even if somewhat questionable in that effect.

In short, Trump at least verbally turned toward working class voters in the election, while Harris and Democrats seemed to further champion suburban women, identity issues, and push the worn out hackneyed line ‘Trump is a Russian pawn and closet fascist who’ll destroy democracy, the country and civilization itself’.

Widening Generational Divide… 

But for the tens of millions of new younger voters who came of voting age a decade ago, the Democrats’ leading  election themes tying Trump to Russians and autocratic behavior are dead. Perhaps not dead but dying as well are the various themes associated with identity politics. Identity issues will not go away but they will no longer be predominant.  The focus on identity does not resonate with the Bros swing vote and has even become antagonistic. Nor do they elicit the same tacit approval within the Hispanic and Black voting constituencies in a period when the economic stress for tens of millions of working class households is approaching a breaking point after decades. A quarter century later it’s still ‘the economy, stupid!’. In fact, more so than ever before.

Some Likely Consequences

It’s somewhat early to define what Trump will now do as president in a second term. But there are outlines from the campaign and his own issues focus in his statement.

Most likely the initial actions will be associated with what he can do without Congressional legislation by means of his own Executive Orders.

At the top of his initial list will be EOs related to illegal immigrants’ deportations and rebuilding his border wall. EOs related to alternative energy matters and the environment will also take an early hit. Oil drilling permits are included in the latter action list.

Deregulation in general will also appear early. Elon Musk will make recommendations cutting government regulations to save spending and Trump will act more or less perfunctorily on Musk’s recommendations. Much of that can be done via EOs as well.

A third area is tariffs. Trump’s promise to raise tariffs 10%-60% (latter on China imports) will come quickly. It’s not coincidental among his first appointments already is Robert Lighthizer as Trade commission.

Trump believes that an increase in government revenue from raising tariffs and a big cut to social programs spending and deregulation will result in a major offset to US budget deficits, which rose last year to $1.8 trillion and is currently running at a $2 trillion estimate for 2025. Tariff revenues, deregulation and even general Austerity social spending program cuts (coming in the spring by Congress) will not even come close to cutting the deficit by a $1 trillion!

Trump believes the fiction that cutting business taxes further in 2025 will result in stimulating economic growth and thus tax revenues. He believed that when he cut taxes in 2018 by $4.5 trillion. It didn’t have the effect on economic growth then. Continuing his 2018 tax cuts (estimated by the Congressional Budget Office to cost the government $5 trillion over the next decade) and even adding to more cuts in 2025 will not even come close to resolving the fiscal crisis and economic train wreck that’s around the corner in 2025 and after. But tax cutting will again be his and his Republican Congress’s priority in 2025 nevertheless. That too will come this spring.

Voters who put their hopes in a fundamental change in direction for the country voting for Trump and Republicans may be therefore disappointed. Not that that’s anything new. The economy will therefore continue as the number one issue of voters come the 2028 election.

About the Author

jack rasmusJack Rasmusis author of the recently published book, ‘The Scourge of Neoliberalism: US Economic Policy from Reagan to Trump’, Clarity Press, 2020. He publishes at Predicting the Global Economic Crisis

Markets Rally as Trump Wins U.S. Election, GOP Secures Congressional Control

Investors rushed to buy dollars, bitcoin, and stocks while selling off bonds after Donald Trump clinched a victory in the U.S. presidential election and Republicans secured control of at least one chamber of Congress. U.S. stock futures surged to record highs, the dollar strengthened, and Treasury yields jumped, while bitcoin soared past $75,000—a scenario many investors anticipated under a Trump victory.

Fox News projected Trump as the winner after he claimed critical swing states, including North Carolina and Georgia. Matthew Ryan, head of market strategy at Ebury, noted, “Markets are positioning themselves for a comfortable Trump victory… and a Republican-controlled Congress.”

Stocks favored by Trump’s tax-cut and deregulation promises led gains, with Tokyo’s bank stocks rising 4.4% and Asia-Pacific markets rallying in sectors likely to benefit from higher yields and growth. Tesla and Trump Media stocks also saw significant gains. However, tariff-sensitive assets like the Mexican peso fell sharply, as markets braced for potential trade conflicts.

Despite gains, some investors are preparing for more market turbulence ahead. Joe McCann, CEO of Asymmetric, commented from his Miami penthouse, “We are expecting a volatile night.”

Related Readings:

Donald Trump

america

Musk’s $1 Million Daily Giveaway for Trump

Razavi Law Group Champions Chapman University’s Client Counseling Competition

Ali Razavi, founder of the Los Angeles Personal Injury Law Firm, Razavi Law Group, has made a pivotal contribution to Chapman University’s Fowler School of Law. His support established the new “Client Counseling Competition Presented by Razavi Law Group,” a crucial training platform for law students to develop real-world client interaction skills, including listening, empathizing, and problem-solving.

As a California Personal Injury Lawyer, Razavi has honed exceptional skills in providing consultations that build trust and address clients’ needs with precision. This expertise prompted his invitation to teach a law class at Chapman, where he shared insights into client counseling techniques and practical problem-solving approaches that have proven invaluable in his practice.

Razavi Law Group/WN-Agency
Photo Credit: Razavi Law Group/WN-Agency

The Client Counseling Competition also provided Razavi with the opportunity to judge all five rounds, interact with promising students, and participate in the award ceremony. His involvement emphasized how critical client relationship skills are to success in personal injury law, particularly in sensitive and high-stakes cases such as those involving severe injuries or wrongful death. John Bishop, Director of Chapman’s Competitions Program, expressed gratitude for Razavi’s commitment to the program, noting how it enables students to gain hands-on experience in a supportive, professional environment.

Razavi Law Group, known for expertise in cases across California, including catastrophic injury and as a Severe Car Accident Lawyer in California, is dedicated to promoting skills essential to effective client advocacy. This competition is just one example of Razavi’s commitment to both the legal profession and the local community, fostering the growth of aspiring lawyers ready to make a positive impact in personal injury law and beyond.

The photos in the article are provided by the company(s) mentioned in the article and are used with permission.

What to Watch: The Return of Donald Trump and the Implications of a Republican Sweep Scenario

In summary                  

  • Inflation, GDP and Fed Funds outlook: President Trump’s victory at the US elections and the likely full Republican control of the Congress do not change our forecasts for US GDP much, with fiscal loosening likely to broadly offset growth-negative factors. But we now expect inflation to rise to 2.9% and 3.4% in 2025 and 2026. Fed Funds rates are expected to be stuck at 4.0% in 2025 and 4.25% in 2026. However, should Trump push for a full-fledged trade war (our downside scenario), GDP growth would be much lower (+0.7% in 2025 and +1.6% in 2026), while the Fed funds rates would sit at 3.75% by 2026 as inflation would remain elevated.
  • Fiscal policy: We expect that President Trump will push through a fiscal package of around 0.5% of GDP by the end of 2025 (net of savings), as well as the full renewal of the Tax Cuts and Jobs Act of 2017 (TCJA, bringing the total fiscal package to 1.6% of GDP). The appetite for a larger fiscal stimulus will likely be limited, given the precarious state of US public finances. Nevertheless, the federal deficit will likely increase above -8% GDP in 2026.
  • Trade policy: President Trump is expected to increase US import tariffs as early as Q2 2025 through an executive order, initially raising tariffs to 25% for Chinese imports and to 5% for imports from the rest of the world, excluding Canada, Mexico and critical goods. We estimate USD135bn worth of global exports would be at risk, equal to 4% of the projected global export gains for 2025-26. In a severe scenario, where the US increases tariffs on overall Chinese goods to 60% and on goods from the rest of the world to 10%, the impact would be significantly higher, with total exports at risk surging to USD510bn. The potential cost to global GDP growth could escalate to a reduction of -0.8pp over the course of a year under a full-fledged trade war scenario, meaning almost a third of global growth would be lost.
  • Capital markets: Markets reacted swiftly, with the USD appreciating approximately 1.5% against the euro and strengthening against other major currencies like the Japanese yen and Chinese yuan. US government bond yields also rose significantly, driven by higher inflation expectations, while German yields fell, highlighting a transatlantic divergence. Global equity markets opened in the green but closed in the red in outside the US. Nevertheless, the overall market response was more muted than in 2016 as much of the “Trump trade” had already been priced. Looking ahead, we expect US long-term interest rates to remain high, influenced by rising inflation expectations, less monetary easing and persistent fiscal deficits. German yields are likely to stay low due to the ECB’s dovish stance and limited bond supply resulting from the German debt brake. We expect a small boost for US risky assets in 2024 as momentum gets some traction, followed by a structural overperformance in the mid run due to reshoring and fiscally advantageous conditions. Despite a slight upward revision in our year-end total return forecast, we foresee continued volatility moving forward.

How inflationary are Trump’s domestic policies?

Trump’s second term will have a significant impact on US inflation and monetary policy, particularly if the Republicans win full control of Congress (Senate + House). The outlook for the House is still unclear but leans toward a very narrow Republican majority and therefore a Republican sweep. In the US, Congress has authority over much of tax, fiscal, immigration and regulation policies. In case of a Red Sweep – which has yet to be confirmed – the debt ceiling deadline in January will be a non-event as the Republican Congress will likely vote for a lifting of the debt ceiling. Key domestic policy milestones include the end of the 2024-25 fiscal year and the expiration of the TCJA – Trump’s 2017 tax cuts – at the end of 2025 if Congress does not renew them. Trump will push for new tax cuts, as he has pledged during the campaign trail, and the full renewal of the TCJA. On monetary policy, Trump has been very vocal, regularly criticizing the Fed’s decisions. In this context, the end of Jerome Powell’s term in May 2026 and his replacement will be key to watch. On the international front, Trump has delivered harsh rhetoric, pledging to implement large tariff increases, including against Mexico. The update of the USMCA in July 2026 when the US, Mexico and Canada will convene, could modify the trading relationships between the three countries.

Figure 1: Key US political milestones in the next 18 months

Figure 1
Sources: Allianz Research

In the short-term, we expect to see a boost to US growth, driven by positive confidence effects. While many of Trump’s policies could prove disruptive, we would expect positive news on growth in the short term to dominate. After Trump’s victory in the November 2016 elections, consumer confidence jumped (Figure 2). Also, financial conditions – as measured by our composite index of equity prices, spreads, market interest rates, house prices and credit supply – eased in the months following the election despite the Fed embarking on a (mild) monetary tightening cycle from December 2016. We estimate that positive confidence effects had supported quarterly annualized GDP growth by roughly +0.2pp at the end of 2016 and early 2017. We would expect similar confidence effects to play out in end-2024 and early 2025, supporting strong US growth momentum.

Figure 2: Consumer confidence & financial conditions

Figure 2
Sources: Conference Board, Allianz Research

Fiscal activism is back… for 2026. Trump has promised new tax cuts for households and corporates during the campaign trail. His major pledges include the exemption of Social Security benefits, tips and overtime pay from income taxes; the deduction of interest expenses on car loans and the lowering of the corporate tax rate to 15% for US manufacturers. In total, the Tax Foundation estimates a cost of USD250bn per year, or 0.9% of GDP. Besides this, Trump will also push for the renewal of the TCJA, with would deprive the US Treasury of 1.4% GDP of savings from 2026. Finally, Trump is also pushing for the full deduction of state and local tax (SALT) from federal income tax (costing 0.2% GDP). On the spending side, Trump has promised to increase spending on defense, homeland security, non-green industrial subsidies and construction/city redevelopment. How will he fund these new tax cuts and spending hikes? Savings and new sources of revenues will likely include discretionary budget cuts, the repealing of Biden’s flagship bills such as the Build Back Better plan and the Inflation Reduction Act and new customs receipts thanks to higher tariffs. In practice, though, we doubt that the Republican Congress will agree to repeal most of the provisions of the IRA, given that most of its subsidies and tax cuts overwhelmingly benefit Red States. Several Republican Congress members have already spoken out against the repealing of these subsidies. However, consumer subsidies for EV purchases are likely to be cut back. Large cuts to benefit programs (Medicare, Medicaid, Social Security) are unlikely as it would be a political challenge to cut them while also extending upper-income tax cuts in the TCJA. In all, it is hard to see the numbers add up: tax cut pledges largely overtake potential savings and new sources of revenues for the US government, meaning the US fiscal deficit will likely rise.

Given the precarious state of US public finances and the risk of an adverse bond market reaction, we think the appetite for large debt-funded fiscal expansion will be limited. Nevertheless, we expect Trump to push through a fiscal package by the end of 2025 or in early 2026. Under a Republican Congress, we think that the TCJA will be renewed in full at the end of the 2025, avoiding a ‘’fiscal cliff’’ in 2026. However, under a Democrat-controlled House, negotiations between Republicans and Democrats over the TCJA will be harsh. Perhaps only around half of the TCJA will be renewed, i.e. the tax cuts for the middle-class, while tax cuts for upper-income households and corporates could be removed. Under a full sweep, Trump could push Congress to pass his fiscal promises. Accounting for increased customs receipts and likely savings measures (albeit limited), we estimate that it would entail a fiscal stimulus (net of savings) of 1% GDP (excluding the renewal of the TCJA). We deem this amount unlikely to be agreed by the Republican Congress, given that US public finances are already very stretched. The risk of a big adverse reaction could intimidate the Republicans into forsaking another big package of deficit-financed tax cuts. Instead, we would see around 0.5% GDP of net fiscal loosening as more likely. In terms of timing, without the filibuster-proof 60-seat majority in the Senate, the Republicans will be forced to rely on the budget reconciliation process to pass their tax and spending changes. In theory, they would have only two reconciliation bills in 2025: one for the current 2025 fiscal year, which ends in September, and one for the following 2026 fiscal year. The TCJA renewal could be passed through the first reconciliation bill, and the tax cuts through the second one.

What does this mean for public finances? Based on our updated macro assumptions – where we add a full-fledged trade ‘’downside’’ risk – US public finances will be in different shape. Under the ‘’downside’’ scenario, we would expect the fiscal deficit to be much narrower, thanks to strong customs receipts more than offsetting the negative impact from lower growth (Figure 3). Nevertheless, it would deteriorate in 2026 as the Trump administration will unleash its fiscal stimulus and extend the TCJA. In our new baseline scenario – with a contained trade war – the fiscal deficit would be much higher.

Figure 3: US federal deficit-to-GDP, in %

Figure 3
 Sources: Allianz Research

Immigration policy will likely be tightened sharply, contributing to push up inflation. Under a Republican sweep, Trump will probably obtain new funding to carry out deportations of unauthorized immigrants and strengthen border controls further at the Mexico-US border. Legal immigration will also likely be tightened and drop to standstill in 2025-26. In total, we assume 1mn people will be deported (over two years), far less than the 8mn floated by Trump on the campaign trail. Corporates are indeed likely to push back hard against massive deportation, especially in sectors heavily reliant on foreign labour such as construction. Meanwhile, immigration inflows are likely to be cut to below 1mn per year. While typically the impact on immigration on inflation is around neutral, in the current environment of still elevated labor shortages, we would expect tight immigration policy to push up inflation by 0.2pp in 2025 and 0.4pp in 2026 by driving up labor costs (Figure 4). GDP growth would be hit hard, up to -0.4pp in 2026 as the US economy will suffer from lower labor supply and lower demand[1].

Figure 4: Core inflation and unemployment-to-vacancy ratio

Figure 4
Sources: Allianz Research

Trump’s attempt to rein in the Fed’s independence would also likely lead to higher inflation. With control of the Senate, the Republicans will have the upper hand on picking the next Fed Chair to replace Jerome Powell, as well as over the replacement of FOMC member Alan Krueger in 2026. A pliable Fed Chair would face opposition from the 12-voting member of the FOMC on interest rate policy so we would not expect the Fed’s independence to be altered. Nevertheless, we think that Trump’s hard rhetoric against the Fed will continue, if not accelerate, during his presidency. Furthermore, we could expect the Fed Chair to be summoned to the White House regularly. That would heighten the perception by financial market participants and the private sector that the Fed’s decisions could be politically influenced. Recent research has shown that increased Fed Chair/US President interactions contributed to push inflation up significantly in the 1960s and 1970s. In all, we would expect inflation to be somewhat higher (to the tune of +0.2/0.3pp) in 2025-26 as a result of this channel.

In all, we have barely changed our GDP forecasts but pushed up our inflation and Fed rates forecasts. Under our pre-election ‘’policy continuity’’ baseline, we were expecting US growth at +2% and 2025 and +2.2% in 2026 (Table 1). We were expecting inflation at +2.2% in both years. Under our new baseline with a Trump government and Republican Congress, we now expect inflation at +2.9% and +3.4%. GDP growth would be little affected. We now expect the Fed to stop cutting rates from April 2025, keeping them steady at 4% as it contends with higher inflation.

Table 1: Updated US inflation and GDP growth (annual average, %) & Fed funds rate forecasts (end-year, %)

Table 1
Sources: Allianz Research

Financial markets: a short-lived confidence boost

Markets responded swiftly to Donald Trump’s election win, with the US dollar initially gaining around 1.5% against the euro. The dollar also gained against all other major currencies, in particular the Japanese yen and the Chinese yuan. These sharp currency moves reflected expectations of looser monetary policy outside the US due to anticipated trade restrictions and tariffs, while the Fed is projected to maintain a comparatively more restrictive stance amid inflation concerns and potential economic boosts from Trump’s “America First” policies. Shorter-term government bond yields underscored this transatlantic divide, with German two-year rates dropping by 10bps, contrasting with a 7bps rise in US two-year yields. Long-term yields rose by 15bps in the US, surpassing 4.4% on higher inflation expectations (breakeven inflation up 10bps), while German 10-year yields fell by 5bps (mostly due to lower real yields). Over the course of the first trading day, some of these moves were slightly reversed as markets were still unsure about the likelihood of a Red sweep. Overall, the market reaction was more muted than in 2016 when Trump won his first term as half of the “Trump trade” had already been priced in over the past couple of weeks[2].

Going forward we expect long-term rates to stay at current levels, and therefore above our previous baseline. In the US, rising inflation expectations, less monetary easing and no improvement on the fiscal deficit side are all factors pushing yields higher than previously expected. On the other side of the Atlantic however, we see little change from our previous baseline. German rates get initially pulled up by the US yields given the close short-term correlation. However, over the next quarters fundamental factors would prevent German yields from rising: a more dovish reaction function from the ECB in light of below-target inflation as well as little supply due to the German debt brake. In case of a full-fledged trade war, we would initially see higher rates in the US on higher inflation expectations, followed by a somewhat stronger downward move given the slowdown of the economy. As Europe would suffer too on the growth side, and have less inflation pressures, German yields would even drop towards 1.7% by 2026 in that case.

Figure 5: US interest rates, EURUSD and stock markets, normalized (Jan 2024 = 100)

Figure 5
Sources: LSEG Datastream, Allianz Research

Figure 6: Fed and ECB market pricing

Figure 6
Sources: LSEG Datastream, Allianz Research

US risky assets have reacted relatively positively to Trump’s victory on hopes of additional pro-business policies and broad-based tax cuts. The anticipation of a more business-friendly regulatory environment, alongside tax cuts that could boost profitability for US companies and demand, have been enough to compensate for any negative ex-ante uncertainty. Key sectors such as energy, financials and industrials have shown strong gains as they stand to benefit directly from deregulation and infrastructure spending plans. While volatility remains, the market’s optimistic response reflects higher confidence in policy that favors US economic growth (Figure 7).

Figure 7: Global equity market performance (rebased to 100 in Q2 2024)

Figure 7
Sources: LSEG Datastream, Allianz Research

On the other side of the Atlantic, the initial optimism had reversed by market close. Investors are pricing in an elevated impact on European corporate balance sheets due to tariff pressures and an intensification of reshoring in the US. However, even if this proves true, initial conditions in the Eurozone continue to look better for risky assets as valuations are not stretched and earnings momentum is picking up. In this context, we continue to expect somewhat high resilience despite economic and political adversities.

Looking ahead, we expect some additional market optimism (vis a vis previous forecasts) towards year-end as the pre-election uncertainty fades. Market participants are likely to incorporate an additional 0.5pp and 1.25pp of earnings growth in their valuation assessments for the upcoming years as lower tax rates take effect (Figure 8). This impact could be exacerbated if corporates decide to completely reshore production, which would lead to an extra 3-5pps earnings boost (though it is close to impossible to reach such an extreme positive impact). In terms of size, mid- and small-sized companies will benefit more from tax cuts as both their revenue exposure and production are more US centric. The combination of higher earnings growth – due to a lower tax burden – and the reignition of the American reshoring trade is likely to lead to an overperformance of companies outside of the magnificent 7 realm, leading to a less concentrated market and to a timid step towards the existing valuation gap. 

But we do not expect a repeat of the equity rally seen during Trump’s first term. Although a certain degree of immediate market optimism might well be justified, at least from a US-centric perspective, initial economic and market conditions are relevant and should prevent investors from expecting a repetition of the equity rally seen during Trump’s 2017-2021 presidency (average annual equity returns above 15% until Covid-19). Firstly, valuations have climbed dramatically, with price-to-earnings (PE) ratios across major indices at historically elevated levels. This leaves limited upside potential as stocks are already priced to reflect substantial growth, which may be difficult to achieve without external catalysts. Moreover, market concentration has intensified, with a handful of tech giants accounting for a large portion of market capitalization, making the broader market vulnerable to swings in these few stocks. Finally, unlike in the late 2010s when the US was in the midst of a mature yet expanding economic cycle, today’s economic landscape is slightly more precarious. Thus, while the market surge seen during Trump’s first tenure was supported by tax cuts, deregulation and a favorable monetary environment, the current setup is far less conducive to a similar equity market rally.

Figure 8: US EPS and PE ratios

Figure 8
Sources: LSEG Datastream, Allianz Research

We have raised our year-end total return forecast for US equities by 3pps to +16%. However, we do not expect structural changes to our previous forecasts for the rest of the world, with the Eurozone and emerging markets finishing the year at +10% and +7%, respectively, showing the favorable valuations and fundamentals resilience. We do recognize, however, that volatility around those two estimates might prove higher than previously anticipated, given the results of the US elections.  The other structural risk to our baseline scenario is that we now expect US markets to structurally outperform the rest of the world starting in 2026. For corporate credit, our adjustments mirror that of equity markets, with US investment grade spreads expected to land at 90bps in 2024, followed by a 10bps decline to 80bps in the long-run starting in 2026. Despite these bullish revisions for US markets, we still see downside potential in US risky assets towards year-end, given current market pricing.

Trade war: contained or full-fledged?

Trump’s first term kicked off a strong protectionist stance that is set to continue with his second term. The first Trump administration aimed to address trade imbalances, intellectual property concerns and national security concerns via measures such as the renegotiation of NAFTA, which resulted in the United States-Mexico-Canada Agreement (USMCA), and the trade war with China, with tariffs imposed on around USD370bn worth of Chinese imports, 25% tariffs on steel and 10% on aluminum imports. The result of this strong protectionist stance from the US was a strong deceleration in global trade volumes to 1.6% in 2019, less than half of its long-term historical average. On the campaign trail for the 2024 elections, Trump pledged to implement a 10% across-the-board import tariff rate on all US trading partners (from 2.7% on average currently). In addition, he also pledged to increase the levy against China from close to 13% currently to 60% on all US imports from China. However, given the US’s high dependence on Chinese goods, this seems unlikely: close to half of total US imports from China are critical dependencies, primarily in the computers and telecom, electronics, household equipment, textiles and chemicals sectors. Even if Trump has said he will ‘’completely eliminate dependence on China in all critical areas’’ by ‘’adopting a four-year plan to phase out all Chinese imports of essential goods – everything from electronics to steel to pharmaceuticals’’, phasing out imports from China is nearly impossible in the short term.

We expect Trump to increase tariffs as soon as Q2 2025 via executive order, but with an incremental approach. The first step will entail raising tariffs by half of what was pledged (i.e. to 25% for China from the current 13% and to 5% for the rest of the world from the current 2.7%, which will still be the highest level since the 1970s). This will probably be a negotiating tactic like last time, aiming at getting a better US deal (e.g. the rest of the world importing more US goods in exchange for lowering the tariffs). We also believe he will exclude all critical goods from the rise in tariffs, which will mean around 10% of total US imports should be exempted. Mexico and Canada are also likely to be spared from the rise in tariffs, but non-tariff barriers will increase (i.e. stricter controls at the US borders). Overall, the impact on US GDP growth is expected to average -0.2pp in 2025, thanks to the stronger dollar offsetting some of the inflationary impact (around +4% appreciation).

What will this mean for the rest of the world? For China, the hit to GDP growth from the hike in tariffs (from close to 13% to 25% on non-critical US imports from China) is likely to amount to -0.1pp in 2025 and -0.3pp in 2026. We believe China will swiftly react domestically by increasing policy support into 2026 (adding +0.2pp), reducing the overall Chinese growth forecast by -0.1pp to 4.6% and 4.2% in 2025 and 2026, respectively. For Europe, we expect the trade losses will amount to USD33bn and be equivalent to -0.1pp of annual real GDP growth. Most probably the ECB cuts would weaken the euro, contributing to lower the tariff impact on exports. The sectors most likely to suffer in Europe include automotive manufacturers, transport equipment and metals – together they account for close to 20% of Europe’s exports to the US. Looking at European exports to the US by sectors and focusing on industries whose exports to the US account for more than 2% of their countries’ total exports, we find that the pharma sector is particularly exposed, especially in Ireland, Switzerland, Belgium, Denmark and the UK, but we do not expect a trade shock on their products. Machinery & equipment in the UK, Germany and Italy are also quite reliant on the US while the auto and transport equipment sectors are also among the most exposed to the US, in particular in Germany, UK, France and Italy. Lastly, the metals sectors in the UK and Switzerland also have substantial exports to the US. These countries and their domestic sectors would suffer most from tariff increases (Table 2). They are strategic, labor-intensive sectors and are/were pivotal to the economic success of US states that voted strongly for Trump’s reelection. The revival of trade war comes in a context of turmoil for the auto industry in Europe and especially in Germany[3] and all three sectors are rated as sensitive risk by Allianz Research. All in all, the contained trade war from the US would cost the global economy around -0.1pp.

Figure 9: Top 15 Europe export sectors to the US in 2023, % of total exports to the US and in USDbn

Figure 9
Sources: UNCTAD, Allianz Research

Table 2: Top exporting sectors by EU country exposed to the US in 2023, % of total exports to the US and in USDbn (above 5bn and above 2% of total exports)

Table 1
Sources: UNCTAD, Allianz Research

What is the main downside risk? A full-fledged trade war (US tariffs hiked to 60% against China on all critical and non-critical imported goods and to 10% for the rest of the world, including Mexico and Canada) looks unlikely in our view. Indeed, the economic costs would be significant: up to –1.2pp to US growth coupled with +0.6pp of higher inflation. Given most countries are likely to retaliate, this would cost global GDP growth -0.8pp to 2%, similar to 2008 or 2001. For China specifically, the hit on GDP growth from hikes in tariffs amounts to -0.5pp in 2025 and -1.1pp in 2026. China’s textiles sector and the US transport equipment sector would be hit the hardest. China would react swiftly and strongly by adding further policy support such as increased funding for local and central governments, cuts in business taxes and fees, supporting the economy by a cumulative +0.7pp in 2025-26 and bringing the net negative impact on growth down to -0.3pp (to 4.4%) and -0.6pp (to 3.7%) in 2025 and 2026, respectively, compared to the pre-election forecasts. Looking at Europe, the cost of full-fledged trade war would be of at least -0.3pp, bringing GDP growth below 1%. Here as well the ECB will play a crucial role as we believe cuts will be more significant, which would weaken the EUR, contributing to lower the tariff impact.

Table 3: Cumulated 2025-26 global export losses from increased US import tariffs excluding currency impacts

Table 2
Sources: UNCTAD, Allianz Research 

*RoW = Rest of the world

**By critical goods we understand those goods for which the US (1) is a net importer, (2) imports more than 50% from a respective country and (3) for which the respective country has more than 50% global market share. For the US, most of the critical dependencies are in mainly computers and telecom, electronics, household equipment, textiles and chemicals.

Table 4: Cumulated 2025-26 direct export losses from increased US import tariffs excluding currency impacts, top 30 most impacted countries

Table 3
 Sources: UNCTAD, Allianz Research

These assessments are, as always, subject to the disclaimer provided below.

Forward-looking statements

The statements contained herein may include prospects, statements of future expectations and other forward-looking statements that are based on management’s current views and assumptions and involve known and unknown risks and uncertainties. Actual results, performance or events may differ materially from those expressed or implied in such forward-looking statements.

Such deviations may arise due to, without limitation, (i) changes of the general economic conditions and competitive situation, particularly in the Allianz Group’s core business and core markets, (ii) performance of financial markets (particularly market volatility, liquidity and credit events), (iii) frequency and severity of insured loss events, including from natural catastrophes, and the development of loss expenses, (iv) mortality and morbidity levels and trends,m(v) persistency levels, (vi) particularly in the banking business, the extent of credit defaults, (vii) interest rate levels, (viii) currency exchange rates including the EUR/USD exchange rate, (ix) changes in laws and regulations, including tax regulations, (x) the impact of acquisitions, including related integration issues, and reorganization measures, and (xi) general competitive factors, in each case on a local, regional, national and/or global basis. Many of these factors may be more likely to occur, or more pronounced, as a result of terrorist activities and their consequences.

No duty to update

The company assumes no obligation to update any information or forward-looking statement contained herein, save for any information required to be disclosed by law.

Allianz Trade is the trademark used to designate a range of services provided by Euler Hermes.

References

  1. [1] We estimate that the unemployment-to-vacancy (U/R) ratio to drop by around 1pp, accounting for both increase in vacancy and unemployment because of the hit on GDP. A 1pp rise in the U/R is expected to push up inflation by around +0.4pp under a steep Phillips curve.
  2. [2] What to Watch on US elections volatility (link)
  3. [3] What to watch | 18 October 2024

The Power of Breaks: How Short Pauses Can Improve Remote Work Focus

Keeping focus sharp in remote work is no easy feat. Without the usual office cues—like quick coffee runs or impromptu chats—remote employees often feel they need to be “on” all the time. 

This non-stop engagement blurs the line between work and personal life, and it’s exhausting. For managers, it’s tricky to tell when team members genuinely need a break to recharge, especially when physical cues are missing.

But here’s the thing: short, regular breaks can make a massive difference. Research backs it up—pausing even a few minutes refreshes focus, prevents burnout, and drives productivity. 

With tools like remote employee monitoring software you can easily spot patterns in your teams, helping you time breaks for maximum impact and foster a team culture that prioritizes sustainable productivity.

Remote Work Fatigue & Its Impact on Focus

Remote work fatigue is a genuine concern. When team members feel they need to be online constantly, it leads to a gradual loss of focus and, eventually, burnout. 

This “always-on” culture is pervasive in remote setups, where it’s harder to know if someone is drained or just powering through. Without face-to-face interactions, managers can struggle to tell when their team needs a breather to stay sharp and effective.

The impact is significant. A study by Microsoft found that remote workers’ focus begins to decline after just 30 to 40 minutes of continuous screen time, with longer hours often leading to exhaustion and reduced productivity. 

Without intentional breaks, remote teams risk falling into a cycle of constant engagement, which ultimately decreases quality and output. Leaders need ways to spot when productivity is slipping and, just as importantly, how to encourage breaks to keep everyone working at their best.

Practical Strategies for Keeping Your Remote Team Focused

Let’s face it: focus doesn’t just happen, especially in remote work. The reality is, that pushing through without breaks doesn’t boost productivity—it drains it. 

Breaks can be a powerful tool to recharge your team and keep productivity steady. By building structured pauses into the workday, you’re creating a work culture that values balance and sustainable output. 

Here’s how to do it with data and a little strategic planning.

1. Set Up Structured Breaks with Real Data

It’s tempting to think of breaks as optional, but the truth is, structured pauses can make or break focus. Track productivity patterns with remote employee monitoring software to get a sense of your team’s daily rhythms and spot the signs of fatigue, like tasks taking longer or a rise in errors. 

With this data, you can guide the team to take quick, strategic breaks—maybe five minutes every hour or a longer breather after a big task. These structured breaks hit the reset button, letting your team return fresh instead of powering through on fumes. 

Over time, you’ll see the difference: better focus, fewer mistakes, and a team that feels more energized. Plus, when you promote these breaks, you’re showing that long-term productivity matters more than grinding through exhaustion.

2. Create a ‘Micro-Break’ Mindset

A micro-break mindset—where everyone feels free to step away for 5-10 minutes when they need to—is one of the simplest ways to boost mental clarity. Even a quick stretch or a walk around the block can make a huge difference. Research proves short breaks improve focus, especially after back-to-back meetings or deep work sessions.

Encourage this by checking in on the team’s schedules, gently reminding them to take a pause, and maybe even setting up a daily “break moment” for everyone to step away.

And here’s where remote productivity monitoring comes in—tracking productivity shifts can help you see just how much those breaks help. When breaks are normalized, your team feels supported, recharged, and ready to tackle what’s next.

3. Use Workload Insights to Balance Tasks & Breaks

Remote workers often feel they’re working in a vacuum, especially when dealing with heavy workloads. This is where remote monitoring software with workload balancing can really make a difference. 

By keeping an eye on workload distribution, you can spot if someone is overloaded or constantly in high-demand projects. If someone’s swamped, that’s your cue to encourage extra breaks or redistribute tasks to keep things manageable.

Checking these insights regularly allows you to keep workloads fair and balanced, which has a big impact on focus and morale. Give team members handling the toughest assignments permission to take a breather or even clock out a little early if they’ve had an intense day. 

This shows them that you’ve got their back and care about creating a sustainable work pace, not just hitting targets.

Conclusion

In remote work, focus doesn’t happen by accident—it needs support. By using the right software and these proactive strategies, you can make breaks a powerful tool to keep your team sharp and engaged. These tools let you spot when energy dips or workloads get too heavy, so you can guide your team to take breaks that truly recharge them.

Structured, data-driven pauses are essential for sustainable productivity. When breaks are built into the rhythm of the workday, your team stays energized and effective, ready to bring their best to every task.

Impact of Population Changes and Economic Growth in China and India 

By Dr Kalim Siddiqui 

Introduction 

China’s population peaked in 2022, earlier than expected. According to UN projections from 1999, China’s population was expected to reach 1.5 billion by the end of 2022. However, the actual population was 100 million less than predicted. This shortfall suggests that China’s working-age population may decline by 10% by 2035 and by nearly 30% by 2050. The country is experiencing both slower economic growth and a declining population, which could significantly affect its overall economic development. 

This study will explore the demographic transitions in both China and India and examine the implications of slower population growth by using a global economic model that incorporates full demographic behaviour, including measures of dependency – accounting for both the working-age population and those who are of working age but not employed. In this context, India’s dependency ratio is projected to decline more sharply than China’s. India’s higher initial fertility rate positively impacts GDP growth but weakens real per capita income growth. Additionally, the study will critically evaluate the ongoing debates surrounding the population and economic challenges facing both countries. 

The presentation will focus on key aspects of the theoretical relationship between population dynamics and economic growth. Over the past four decades, China has witnessed exceptional economic growth, coupled with significant demographic shifts. The country has experienced dramatic reductions in mortality and fertility rates, leading to one of the most rapid demographic transitions in world history. This transition has been largely shaped by China’s family planning policies, particularly the one-child policy, which has played a critical role in curbing population growth. 

India, on the other hand, recently surpassed China as the world’s most populous country, as reported by the United Nations in 2022. India’s population reached 1.4 billion in 2023, and its continued growth presents the potential for a “demographic dividend.” While China and other industrialized countries are facing declining numbers of young workers and increasing elderly populations due to rising life expectancy, India’s workforce remains young and expanding. (Siddiqui, 2021a) 

Population Trends in China and India 

China and India are the two most populous countries in the world, with India home to approximately 1.45 billion people and China to about 1.42 billion in 2024. Figure 1 illustrates the population growth trends of both countries since 1950 (also see Table 1a, along with projections for 2021. As the data indicates, before 2022, India’s population was lower than China’s. However, in 2022, India surpassed China to become the most populous country in the world. Projections suggest that the gap between their total populations will continue to widen in the coming years. 

Together, China and India account for about 35.17% of the global population and 60% of the population of Asia. While Asia’s population is projected to grow over the next decade, it will do so at a slower rate, as shown in Table 1b. Moreover, India’s population density is over three times higher than China’s, with 488 people per square km compared to 148 people per square km in China. 

India officially became the world’s most populous country in 2022, overtaking China. By 2023, China’s population began to decline. China’s fertility rate, at 1.2 births per woman in 2022, is among the lowest in the world. In contrast, India’s fertility rate is 2.0 births per woman, which is just below the replacement threshold of 2.1 births per woman. Currently, China accounts for 17.7% of the global population, while India holds a slightly larger share at 17.8%. Meanwhile, Africa is the fastest-growing region in the world, with an annual population growth rate of about 2.4%, while Europe is the only region experiencing population decline, shrinking at a rate of -0.17% per year.  

Table 1A: Population Estimates of China and India, 1950-2023 

Demographics China vs India 2
Source: World Population Prospects, UN, 2024. https://statisticstimes.com/demographics/china-vs-india-population.php 

Table 1B: Population Projections of China and India, 2024-2100 

Demographics China vs India
Source: World Population Prospects, UN, 2024. https://statisticstimes.com/demographics/china-vs-india-population.php 

Demographic Transition in China and India 

China and India adopted different strategies for navigating their demographic transitions toward longer life expectancy and smaller, nuclear families. The timing and intensity of these demographic changes have varied significantly between the two countries and even within their regions, depending on factors such as income, literacy rates, and broader socio-economic development. Key factors driving this transition include public investment in the health sector, improved nutrition (especially for reducing child mortality), increased education levels—particularly for girls and women, which often lead to declines in both mortality and fertility rates—urbanization, employment opportunities for women, and access to family planning. 

By 2022, China’s fertility rate had fallen to 1.2 births per woman, one of the lowest in the world. India’s fertility rate, at 2.0 births per woman, was just below the “replacement” threshold of 2.1 births per woman, the level required for long-term population stabilization. According to United Nations projections, India’s population is expected to peak around 2064 before gradually declining thereafter (UN, 2022). 

While many factors contributed to the decline in birth rates in both China and India, the relative impact of each remains debated (Bongaarts and Hodgson, 2022). In the second half of the 20th century, both governments sought to curb population growth by focusing on reducing fertility rates. For instance, China implemented specific policies, such as the “Later, Longer, Fewer” campaign of the 1970s, which promoted later marriages, longer intervals between births, and fewer children overall. The most notable of these policies was the “one-child” policy, enforced from 1980 to 2015, which imposed strict limits on family size, with very few exceptions. 

Interestingly, it was not until the 1950s that the populations of both China and India began to rise exponentially. China reached the 1-billion mark in 1980, while India hit the same milestone in 1997. 

In 1971, both countries had similar fertility levels, with an average of around six births per woman. However, China’s fertility rate dropped sharply to fewer than three births per woman by 1979, thanks to aggressive family planning policies. In contrast, India’s fertility decline was much more gradual, taking nearly two generations (about 35 years) to achieve the same reduction that China accomplished in just seven years, by 1979. 

Moreover, the Chinese government significantly increased investment in human capital and promoted a greater role for women in politics and social change. These efforts contributed to the sharp drop in China’s fertility rate during the 1970s, followed by more gradual declines over the next two decades. In contrast, the Indian government introduced a policy in the early 1950s aimed at discouraging large families and reducing population growth through its national family welfare programme. 

India’s demography is not uniform across the country. One third of predicted population growth over the next decade will come from just three states, namely Bihar, MP and UP, in the north of the country, which are some of India’s poorest and most agricultural states. Uttar Pradesh alone already has a population of about 235 million, bigger than Nigeria or Brazil. 

Meanwhile in states of India’s south, which has higher average incomes and better economic performance and also has far higher rates of literacy, population rates have already stabilised and have begun to fall. In the next decade, states in the southern states such as Kerala, Karnataka, and Tamil Nadu are likely to face huge challenges of rising an ageing population, and by 2025, one in five people in Kerala will be over 60. 

Under India’s federal structure, state governments had the flexibility to set their own policy priorities, leading to varied impacts across different regions. For example, states like Kerala, Goa, and Tamil Nadu, where governments focused on socio-economic development and women’s empowerment, saw sharp declines in fertility rates—falling below the replacement level two decades before the national average. On the other hand, states that invested less in education, particularly for girls and women, experienced slower fertility reductions. 

During the Emergency period (1974–77), the central government implemented mass sterilization campaigns, especially in North India, using coercive methods. India’s slower fertility decline, compared to China’s, can be attributed to several factors, including low spending on education, slower economic growth, and low per capita income between 1970 and 1985. 

Figure 1: Population of India and China between 1950 and 2100 

India vs China by population
Source: https://statisticstimes.com/demographics/china-vs-india-population.php 

Currently, the average Indian woman is expected to have 2.0 children over her lifetime, a fertility rate higher than China’s (1.2) or the United States’ (1.6), but significantly lower than India’s fertility rate in 1992 (3.4) or 1950 (5.9). 

In rural areas of India, women have an average of 2.1 children, while women in urban areas have 1.6 children. Both figures are lower than they were 20 years ago, when rural women had 3.7 children on average, and urban women had 2.7 children. Furthermore, fertility rates vary significantly by state, ranging from a high of 2.98 in Bihar and 2.91 in Meghalaya to a low of 1.05 in Sikkim and 1.3 in Goa (see Figure 2). 

Figure 2: Population Growth Across Indian States Between 2002 and 2011

Population Growth Across Indian States Between 2002 and 2011
Source: https://www.pewresearch.org/short-reads/2023/02/09/key-facts-as-india-surpasses-china-as-the-worlds-most-populous-country/ 

Figure 3: China and India Population Pyramids

China and India Pyramid
Source: https://www.weforum.org/agenda/2020/11/population-race-china-india/ 

It is often said that higher population growth could bring the prospect of a “demographic dividend.” However, to fully capitalize on a rising youth population, a country must invest in human capital, raise labour productivity, diversify its economy, and prioritize employment creation while protecting the environment. India has a young and growing workforce, while China and other industrialized countries are experiencing a decline in their young populations. With rising life expectancy, the number of elderly citizens is expanding. It is argued that China, with its shrinking youth and aging population, may struggle to sustain higher economic growth and surpass the GDP of the United States. 

China’s demographic situation was heavily shaped by the government’s strict “one-child” policy, implemented in the 1970s. Even after the policy was relaxed to allow two children per family in 2016, the long-term demographic impact remains irreversible. China is now facing a rapidly aging population, with over one-third of its citizens expected to be 65 years old or older by 2050. (See Figure 3) This aging population, combined with slowing economic growth, poses significant challenges. 

India, on the other hand, is projected to have nearly 100 million people aged 60-64 by 2100 (see Figure 3). India’s young population is growing, while China’s is declining. However, India’s large and expanding workforce also highlights significant challenges. While young people have great potential to drive economic growth, they must first gain access to quality education and employment. Currently, 65% of India’s population is under 35, and the country is experiencing high rates of digital adoption, especially in the IT sector, which is further accelerating economic growth. Despite this, employment creation has lagged behind, leading some economists to describe India’s growth as “jobless growth.” 

Several studies define the “demographic dividend” by focusing on declining dependency ratios, typically defined as the proportion of the population that is of working age (Bloom et al., 2003). However, in many countries, substantial numbers of “working-age” individuals are not employed, while some older individuals continue to work. A more accurate measure of the dependency ratio would compare the non-working population to the working population, which may differ significantly from the standard measure. 

Considering this, China’s demographic dividend has remained positive since the turn of the century, although it is projected that after 2030, total dependency will begin to rise. China’s aging population has become a major policy concern in recent years. According to UN projections (2008), the proportion of China’s population aged 60 and above is expected to nearly double, from 12% in 2010 to 23% in 2030. During this period, the increase in elderly dependency will outpace the decline in youth dependency, further complicating China’s demographic challenges. 

While India’s elderly population will rise from 7% to 12% between 2010 and 2030, overall dependency in the country will continue to be dominated by declines in youth dependency, signalling a more substantial demographic dividend. Not surprisingly, both India and China are following different population policy responses. China is now actively transitioning from its “one-child policy” to a “two-child policy,” while India continues to promote fertility decline through family planning and social initiatives. 

However, rising unemployment, especially among India’s youth, has become a critical issue. When Narendra Modi became Prime Minister in 2014, he promised to create 20 million jobs annually, but the government has fallen far short of this target. As a result, the competition for job openings is intense, with hundreds of thousands of applications for even a handful of positions. In addition, the public sector is cutting back on hiring, and many government positions remain unfilled. High unemployment rates, especially among young people, have led to increasing rates of suicide as job seekers struggle to find employment. 

India’s unemployment crisis is compounded by the lack of a social safety net, meaning that many face severe economic hardship and even starvation. Some argue that focusing on manufacturing is not a viable solution to India’s unemployment problem. This is not because manufacturing itself is ineffective, but because the nature of modern manufacturing has become highly capital-intensive. Even with significant capital investments, manufacturing may only generate modest employment growth. However, critics of this view argue that sustainable growth in other sectors, particularly services, depends on a strong manufacturing base to provide the necessary infrastructure. 

According to the United Nations, adults aged 65 and older made up only 7% of India’s population in 2023, compared to 14% in China and 18% in the United States. The proportion of elderly Indians is expected to remain below 20% until 2063, after which it will rise sharply, reaching nearly 30% by 2100. 

Women with more education and higher incomes tend to have fewer children and give birth later in life. For example, the median age at first birth is 24.9 among Indian women with 12 or more years of schooling, compared to 19.9 among women with no schooling. Similarly, Indian women in the highest wealth quintile have their first child at a median age of 23.2, while women in the lowest quintile do so at 20.3. 

When examining the historical trends of population growth in China and India during the 19th and early 20th centuries, the impact of European invasion, occupation, and wars becomes evident. These events significantly affected the economies of the two most populous countries, with incomes dramatically falling, leading to widespread famines and deaths (see Figure 4). (Siddiqui, 2020a) 

In the 19th century, British economic policies in India, particularly the push for free trade, contributed to skyrocketing food prices during poor harvests. (Siddiqui, 2019) Despite the presence of railways and roads for transportation, the colonial government failed to effectively distribute food to famine-stricken areas. (Siddiqui, 2022) The often-idealized portrayal of colonialism by its apologist’s conflicts with historical records, which reveal that colonial policies made famines more frequent and deadly. Economic historian Robert C. Allen (2009) emphasized that living conditions deteriorated during the 19th century, as British rule ‘drained’ India of its wealth and resources. This led to millions of deaths from famine. According to Allen, extreme poverty in India worsened under British rule, increasing from 23% in 1810 to more than 50% by the mid-20th century. Real wages also declined during the colonial period, reaching their lowest levels in the 19th century, while famines became more frequent and severe. (Allen, 2009) 

In 1800, India’s population was around 169 million, while China’s population was nearly double at 322 million. Researchers agree that the period from 1880 to 1920, the height of Britain’s colonial power, was particularly devastating for India. Comprehensive population censuses from 1882 indicate that the death rate rose sharply, from 37.2 deaths per 1,000 people in the 1880s to 44.2 in the 1910s. Life expectancy also declined, falling from 26.7 years to 21.9 years. Data on real wages show that by 1880, living standards in colonial India had significantly declined from earlier levels.  

Figure 4: Population of India and China, 1800 to 2100 

Population 1800 to 2100
Source: World Economic Forum

The question arises: how did British colonial rule in India, which lasted for two centuries, cause millions of deaths? The answer seems to lie in the systematic destruction of India’s manufacturing sector and exploitation of its resources. Before colonization, India was one of the world’s largest industrial producers, exporting high-quality textiles globally. (Siddiqui, 2023a) Historian Madhusree Mukerjee notes that the British colonial regime removed tariffs, allowing British goods to flood the Indian market. At the same time, the British imposed higher taxes and internal duties, preventing Indian producers from selling their textiles both domestically and internationally. 

Population censuses conducted during the colonial period reveal that India’s population remained nearly stagnant. (Siddiqui, 1995) One of the primary reasons for this was widespread famine. Famines, caused by war, inflation, crop failure, population imbalance, or misguided government policies, led to regional malnutrition, starvation, epidemics, and significantly increased mortality rates. (Siddiqui, 2023b) 

Economic historians have documented those tens of millions of Indians starved to death during several policy-induced famines in the late 19th century, as resources were siphoned off to Britain and its white settler colonies. Britain’s colonial policies are associated with the deaths of over 120 million Indians between 1770 and 1945. These famines, often considered genocidal, were caused by British exploitation rather than natural disasters. The Great Bengal Famine of 1770, one of the most devastating, claimed around 10 million lives and affected Bengal, Bihar, and Orissa, with around 30 million people impacted overall. (Siddiqui, 2020a) 

China, too, experienced European military aggression in the 19th century, which weakened the central government and plunged the country into prolonged civil strife, known as the “century of humiliation.” This period saw little population growth due to large-scale conflict and death. Britain, seeking to expand its commercial dominance, waged two Opium Wars against China. The First Opium War (1839–42) and the Second Opium War (1856–60), also known as the Anglo-French War in China, resulted in British and French victories that forced China into unfavourable treaties. (Siddiqui, 2020b) 

As a result, China ceded Hong Kong to Britain and opened several treaty ports to foreign trade. (Siddiqui, 2021b) The Chinese government also had to allow the increased sale of British-imported opium within China, an act that devastated the country’s population and economy, all under the guise of promoting free trade, with little regard for the catastrophic consequences for the Chinese people. (Siddiqui, 2018a) 

Conclusion 

India recently surpassed China to become the most populous country, according to data released by the United Nations (UN, 2022). This demographic shift is accompanied by significant changes in both countries, as improvements in income, consumption, and healthcare lead to an increasing elderly population. In 2023, adults aged 65 and older make up only 7% of India’s population, compared to 14% in China and 18% in the United States. The proportion of elderly Indians is expected to remain below 20% until 2063, after which it may sharply rise to nearly 30% by 2100. 

The potential for a “demographic dividend” arises from this higher population growth. (Siddiqui, 2021c) However, to capitalize on the increasing youth population, India must prioritize public investments in education and healthcare, enhance labour productivity, and diversify its economy. Employment creation, coupled with environmental protection, should be central goals for the Indian government as it navigates this demographic transition. 

While India boasts a growing young population, China faces a declining youth demographic amid an aging workforce. This presents unique challenges for both countries. Young people in India have tremendous potential to contribute to economic growth, but they require adequate education and job opportunities to do so. Despite recent economic advancements, employment generation remains low, a phenomenon some economists refer to as “jobless growth.” (Siddiqui, 2018b) 

Moreover, India’s infrastructure, although improved in recent years, still lags behind that of China. A significant portion of the Indian workforce is engaged in the informal sector, and only one in five Indian women participates in the formal labour force—one of the lowest rates in the world. Addressing these issues will be critical for India to harness its demographic potential and foster sustainable economic development. 

About the Author

Dr. Kalim SiddiquiDr Kalim Siddiqui is an economist specialising in International Political Economy, Development Economics, International Trade, and International Economics. His work, which combines elements of international political economy and development economics, economic policy, economic history and international trade, often challenges prevailing orthodoxy about which policies promote overall development in less-developed countries. Kalim teaches international economics at the Department of Accounting, Finance and Economics, University of Huddersfield, UK. He has taught economics since 1989 at various universities in Norway and the UK. 

References 

  1. Allen, Robert C. (2009) The British Industrial Revolution in Global Perspective, Cambridge.  
  2. Bloom, D., Canning, D., and Sevilla, J. (2003) The demographic dividend: A new perspective on the economic consequences of population change, Rand Publishers. 
  3. Bongaarts, J. and Hodgson, D. (2022) Fertility Transition in the Developing World, London: Springer Nature. 
  4. Siddiqui, K. (2023a). “Developmental Challenges: Export vs Import-Substitution in Industrialisation in Developing Countries” World Financial Review, October-November, pp.1 – 15. ISSN:1756-3763. 
  5. Siddiqui, K. (2023b). “The New Cold War: Struggle for Global Domination” (Part I and Part 2) World Financial Review, June, p.6 – 17 & August, pp.1 – 12.  
  6. Siddiqui, K. (2022) “Capitalism, Imperialism, and Crisis”, European Financial Review, June-July, p.16 – 32. 
  7. Siddiqui, K. (2021a) “The Importance of Industrialisation in Developing Countries” World Financial Review, January February, pp.60-73. 
  8. Siddiqui, K. (2021b) “The Import Substitution Policy in the Post-Colonial Countries” World Financial Review, November-December, p.76 – 86. 
  9. Siddiqui, K. (2021c). “Can the 21st Century be an Asian Century?” Asian Profile, 49(1): 1 – 19, March. 
  10. Siddiqui, K. (2020a) “The Political Economy of Famines under Colonial India: A Critical Analysis” World Financial Review, July-August, p.56 – 70. 
  11. Siddiqui, K. (2020b) “Britain’s Trade with China in the Eighteenth and Nineteenth Century: A Review of the Opium Wars” Asian Profile, 48(3): 206 – 221, September. 
  12. Siddiqui, K. (2019). “A Century of India’s Economic Transformation: A Critical Review” Journal of Perspectives on Financing and Regional Development, 7(1): 1 – 22, Jan.-Feb. 
  13. Siddiqui, K. (2018a). “David Ricardo’s Comparative Advantage and Developing Countries: Myth and Reality” International Critical Thought, 8(3): 1-28, September.  
  14. Siddiqui, K. (2018b). “The Political Economy of India’s Economic Changes since the last Century” Argumenta Oeconomica Cracoviensia, 19:103 – 132. https://doi.org/10.15678/AOC.2018.1906 
  15. Siddiqui, K. (2018c). “Capitalism, Globalisation and Inequality” World Financial Review, November-December, p.72 – 77. 
  16. Siddiqui, K. (2018d). “The Political Economy of India’s Post-Planning Economic Reform: A Critical Review” World Review of Political Economy, 9(2): 235-264. 
  17. Siddiqui, K. (1995) “Population and Environment”, The Nation, Part 1 and Part 2, January 27 and 28. 
  18. United Nations (2022) World Population Prospects 2022: Summary of Results. UN DESA/POP/2022/TR/NO. 3. Department of Economic and Social Affairs, Population Division, New York.  

The Truth About Return-to-Office Headlines: Why the Data Tells a Different Story

By Dr. Gleb Tsipursky

In recent months, headlines have frequently proclaimed that companies like Amazon are demanding employees return to the office in droves, signaling the end of the flexible work era. However, contrary to these attention-grabbing headlines, reliable and objective data from sources like the U.S. Bureau of Labor Statistics (BLS) shows a steady increase in workplace flexibility, with more employees enjoying hybrid and remote work arrangements in 2024 than in the previous year.

Cherry-Picked Stories vs. Objective Data

The sensationalism around a supposedly ever-growing return to the office is largely driven by cherry-picked stories. Headlines often focus on the loud proclamations of a few high-profile CEOs or companies cracking down on flexible work. These narratives grab attention but are not necessarily representative of broader trends. In reality, many organizations are quietly adapting to employee preferences for flexibility, finding that the rigid mandates announced in the early post-pandemic phase are difficult to enforce and often counterproductive.

Contrary to the narrative of a massive return to office, the data reveals a year-over-year increase in the number of employees who work from home, either some of the time or all the time.

A clear example of this disconnect is found in the August 2024 jobs report from the BLS. Contrary to the narrative of a massive return to office, the data reveals a year-over-year increase in the number of employees who work from home, either some of the time or all the time. Specifically, 22.8% of workers reported teleworking for some or all of their job in August 2024, up from 19.5% in the same month the previous year. Among hybrid workers – those who work remotely only some of the time – the share climbed from 9.2% to 11.7% over the same period; those who worked remotely all the time increased to 11.1%, up from 10.3%

This government data is backed up by similar findings from highly credible private sources. For example, the eighth annual Owl Labs state of work report finds that the number of fully in-office workers fell from 66% in 2023 to 62% in 2024, while the number of hybrid workers rose from 26 to 27% and fully remote from 7 to 11%. Overall, the BLS data is more trustworthy on actual proportions of each, since they have a broader and deeper data set, but the similarity in trends is telling.

The uptick in remote and hybrid work is a strong indicator that many employers are becoming more accommodating, even as some continue to trumpet a return to office rhetoric. This shift is driven by practical considerations. For example, several CEOs at companies I work with on helping determine their flexible work arrangements have increasingly chosen to – quietly – cease enforcing in-office attendance rules when they realized that the effort to monitor and manage these requirements was becoming more trouble than it was worth. The initial worker backlash to strict return-to-office policies did not subside as expected, but rather continued to escalate, diverting managerial attention away from more strategic concerns.

A variant of this pattern is the “hushed hybrid” trend, where workers collaborate secretly with their managers to come to the office less frequently than the C-suite wants. Essentially, the managers undermine company policies because they recognize it would be a lot of hassle to enforce them, and not worth the resentment this enforcement would cause. Thus, many workers come in once or twice a week, even if the requirements might be three days a week.

On a related note, witness the rise of “coffee badging,” where employees might follow the letter of the law but undermine its spirit. Namely, they come into the office the required three – or even four or five – days a week, long enough to grab a coffee and meet with a colleague, and then go home.

No wonder that the 2023 Global Traffic Scorecard by traffic analysis firm INRIX Inc. observed significant changes in commuting patterns, with a decrease in peak morning and evening traffic congestion and an increase around midday. This shift suggests that many employees are taking advantage of more flexible work hours, leading to a new kind of workday that departs from the traditional 9-to-5 model. Moreover, the global nature of this survey shows the trend of flexibility is not limited to American companies.

The Myth of the “Great Return” to the Office

The persistent narrative of a “great return” to the office is not only misleading but also fails to account for the growing body of evidence that suggests a preference for flexibility is reshaping the modern workplace. For instance, a June 2024 survey from the Conference Board found that nearly half (45%) of HR professionals in companies with strict in-office mandates reported difficulties retaining employees. In contrast, only 15% of HR professionals in companies offering flexibility faced similar retention challenges. This stark contrast highlights how rigid office attendance policies can be detrimental to talent retention.

Similarly, a recent report from the Johns Hopkins Carey Business School in partnership with Great Place to Work identified strong positive links between flexible work models and employee well-being. The study analyzed the percentage of a company’s workforce permitted to work remotely for part of the week. Companies where at least 75% of employees had the option to work remotely part-time reported the highest levels of well-being. In contrast, firms where fewer than 25% of employees had this flexibility scored the lowest. A similar trend was observed with flexible work schedules. Organizations that allowed a larger share of their workforce to choose their in-office hours experienced a more positive and healthy work environment.

This data underscores a significant shift in worker priorities, where flexibility, work-life balance, and mental health support are becoming more valued than traditional benefits or even salary increases.

It’s clear that for many professionals, the option to work remotely or in a hybrid model is non-negotiable. Recent findings from an Owl Labs survey support this view, revealing that 66% of employees would consider looking for a new job if the ability to work from home were removed, and 39% would quit immediately. This data underscores a significant shift in worker priorities, where flexibility, work-life balance, and mental health support are becoming more valued than traditional benefits or even salary increases.

Data from Robert Half, a staffing firm, provides further evidence that the job market is tilting decisively towards flexible work arrangements. According to their reports, the number of fully on-site roles has steadily decreased over the past year. In Q1 2023, 83% of job postings were for fully on-site roles. By Q2 2024, that figure had dropped to 67%, down from 69% in Q1 2024. Meanwhile, job postings for hybrid and remote roles have been steadily increasing. For example, hybrid job postings have risen from 9% in Q1 2023 to 22% in Q2 2024, while remote job postings have grown from 7% to 11% over the same period.

The Way Forward: Embracing a Hybrid Future

In the face of these trends, it is becoming increasingly clear that employers who cling to the idea of a full-scale return to the office may be fighting a losing battle. Workers have demonstrated that they are willing to push back against rigid attendance rules, and the data shows that they are succeeding in securing more flexibility. The year-over-year increase in remote and hybrid work signals that flexible work is here to stay. Companies that recognize this reality and adapt their policies accordingly will likely find themselves in a stronger position to attract and retain top talent.

About the Author

Dr. Gleb TsipurskyDr. Gleb Tsipursky was named “Office Whisperer” by The New York Times for helping leaders overcome frustrations with hybrid work and 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 Thought Leaders and Content Creators: Unlocking the Potential of Generative AI for Innovative and Effective Content Creation. His cutting-edge thought leadership was featured in over 650 articles and 550 interviews in Harvard Business Review, Inc. Magazine, USA Today, CBS News, Fox News, Time, Business Insider, Fortune, The 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 consulting, coaching, 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.

Will Remote Work Determine the Election?

By Dr. Gleb Tsipursky

The 2024 U.S. presidential election is shaping up to be one of the closest in recent history, with both Kamala Harris and Donald Trump locked in a dead heat in many polls. This razor-thin margin amplifies the impact of even small demographic changes, such as those driven by the recent surge in remote work. Research by the nonpartisan Centre for Economic Policy Research shows that the flexibility offered by remote jobs has allowed people from traditionally Democratic urban centers to relocate to more affordable suburban or even rural areas, many of which lean Republican or fall in swing states. These shifts inevitably affect voter profiles in battleground states, potentially influencing who wins in these high-stakes regions.

The remote work revolution has brought a level of geographic mobility not seen in decades. Census data shows that the percentage of Americans working primarily from home has quadrupled in three years, while the rate of state-to-state moves has increased by over 12 percent since 2019. Freed from the requirement of daily commuting, many workers are choosing to leave high-cost, left-leaning states and cities such as California, New York, and Chicago, and instead settle in states where housing prices are generally lower and taxes more favorable.

Politically, these migration patterns are significant. Many of those moving out of left-leaning urban centers to suburban or rural areas—often in politically red or purple states—are bringing their voting preferences with them. If even a small percentage of new residents vote along the lines of their previous state’s tendencies, it could shift the political dynamics, especially in close races where margins are often razor-thin.

Many workers are choosing to leave high-cost, left-leaning states and cities such as California, New York, and Chicago, and instead settle in states where housing prices are generally lower and taxes more favorable.

Remote work opportunities are disproportionately clustered in left-leaning cities and metropolitan hubs. Counties that offer the highest number of remote jobs tend to be areas that leaned Democratic in the last election. But while remote roles may have originally drawn workers to these urban hubs, many now find themselves opting to live in more affordable suburban or rural areas, a choice that’s increasingly feasible with flexible work. Since the start of the pandemic, Americans who moved across state lines were 45 percent more likely to be working from home than those who remained in their states. As a result, workers with political preferences shaped in blue states or cities are now relocating to regions that are more ideologically diverse or conservative.

This migration has already begun to make an impact in key swing states. Florida and Georgia, both red-leaning states, are experiencing demographic shifts that could shift their political leaning. In Texas, another historically red state, an influx of new residents from more progressive areas has made its political future less certain. In states like Arizona, Nevada, and Pennsylvania, which were pivotal in determining the last election, these shifts add yet another layer of unpredictability. Migration trends could have an immediate impact in these states, where even slight changes in voter turnout or preferences can have outsize consequences.

However, it is important to recognize that demographic shifts don’t always translate to predictable voting behavior. Some newcomers may gravitate toward communities that already align with their political leanings, while others may gradually adapt to the political environment of their new location. Nevertheless, the current migration trends, accelerated by the widespread adoption of remote work, suggest that the electorate in these battleground states will be significantly different from what it was in 2020. This creates a challenge for political campaigns that now need to account for an increasingly mobile electorate with motivations and preferences that aren’t as easily defined by geography.

The 2024 election is shaping up to be a referendum on many issues, but the influence of remote work is an often overlooked factor that may nonetheless determine the outcome.

The influence of remote work on the political landscape extends beyond presidential elections. As more Americans leave city centers for nearby suburbs, local and congressional races are also feeling the impact. The so-called “donut effect”—the tendency of people to move out of dense city centers to suburban or even rural areas—is causing shifts within metropolitan regions that could affect the makeup of congressional districts and local elections. In traditionally Democratic strongholds like New York City and San Francisco, there is a notable exodus from the urban core to suburban or exurban areas. Such a reshaping of the voter base could turn suburban areas from purple to blue, while in other regions it may consolidate right-leaning voters. These movements could ultimately alter the political balance in local races, congressional districts, and perhaps even in future state-level elections.

As remote work-driven mobility continues, it is giving rise to a new kind of voter demographic. These are Americans who can now prioritize quality of life, affordability, and personal values over workplace proximity, and this mobility is increasingly leading them to areas with different political landscapes. Younger workers are especially prominent among this group, as they are more likely to work in industries that support remote or hybrid arrangements and have shown a greater willingness to prioritize lifestyle over job location. Political parties will likely need to tailor their strategies to appeal to these geographically diverse, often ideologically mixed voters, who could play an outsized role in shaping both state and national elections in the years to come.

The 2024 election is shaping up to be a referendum on many issues, but the influence of remote work is an often overlooked factor that may nonetheless determine the outcome. As both parties vie for an advantage in battleground states, tracking these shifting voter patterns will be crucial. From Florida’s changing suburbs to Texas’s diversifying population, remote work-driven migration will likely remain a key factor in America’s political landscape. Politics in the U.S. is entering a new era, one where voters are more mobile, less predictable, and where the influence of traditional party strongholds may be slowly giving way to a more fluid and dynamic political environment. The 2024 election may be the first to reveal just how much remote work has transformed the political landscape in America, but it is unlikely to be the last.

About the Author

Dr. Gleb Tsipursky

Dr. Gleb Tsipursky was named “Office Whisperer” by The New York Times for helping leaders overcome frustrations with hybrid work and 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 Thought Leaders and Content Creators: Unlocking the Potential of Generative AI for Innovative and Effective Content Creation. 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.

Impact of U.S. Presidential Race on Chinese Tech: A Tale of Two Candidates

As the U.S. presidential election nears, the potential victory of Donald Trump poses mixed implications for Chinese technology firms. Executives fear that Trump’s unpredictable style could lead to intensified sanctions, echoing his previous trade war actions that banned high-tech exports to China. His combative approach might also unsettle U.S. allies, complicating coordinated efforts against China.

Conversely, Kamala Harris is viewed as a more predictable choice, likely to continue incremental changes in export controls and maintain international cooperation. Regardless of who wins, analysts anticipate new restrictions aimed at curbing China’s technological advances amid rising tensions in the South China Sea and around Taiwan.

While half of the industry analyses see a Trump win as detrimental, the other half suggests his unilateral policies may face opposition from U.S. allies, potentially undermining their effectiveness. Nevertheless, China’s tech sector has become increasingly self-sufficient since the trade war, focusing on domestic alternatives.

As uncertainty looms, many executives have adopted a “new normal” mindset, prioritizing rapid growth and innovation. “We are blind to know what might come next, so we just keep going, as fast as we can,” said one industry executive, reflecting the resolve to adapt to an unpredictable landscape.

Related Readings:

china and EU cars (1)

US Tech War Against China

Ballot box on a map of the United States

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