Skills Alignment for the AI Economy: A Framework for US Labor Market Policy

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As generative artificial intelligence (AI) diffuses across the economy, speculation about its impact on the labor market continues to grow. In Skills Alignment for the AI Economy: A Framework for US Labor Market Policy, Robert Seamans evaluates the labor market effects of AI to date and outlines policy recommendations to manage this transition.  

Seamans highlights three key trends in AI adoption. First, firm-level adoption is increasing but remains far from universal. According to August 2026 data from the US Census Bureau’s Business Trends and Outlook Survey, approximately 22 percent of firms currently use AI and 26 percent expect to use it within six months. Second, many workers adopt generative AI tools before the technology is formally implemented at the firm level. This informal “shadow AI” use by individual employees often outpaces firm-level adoption, suggesting that actual workplace integration is higher than official metrics capture. Third, AI adoption varies significantly across geographies and demographics. For instance, Microsoft telemetry data show a stark urban-rural divide in adoption rates: large metropolitan areas have approximately 33 percent adoption compared to 16 percent in rural counties.

In Seamans’ assessment, official labor market data have not yet shown evidence of widespread AI-driven job displacement. Studies have found that AI increases individual productivity, particularly for less experienced workers, yet these task-level productivity gains do not automatically aggregate into employment, wage, or firm-level effects. For instance, within entry-level employment, the evidence indicates that AI may be disrupting specific pipelines, particularly in software and some professional services,  but is not yet producing any broad labor market displacement. 

The combination of strong task-level productivity gains but no evidence of broad labor market disruption to date, Seamans argues, calls for policies that improve labor market adjustment rather than react to assumed mass job losses. 

He lays out a “Skills Alignment Framework” to strengthen the feedback loop between employers, workers, and training providers, accompanied by several policy recommendations that benefit both employers and workers:

  1. Promote AI-enabled skill training to retrain displaced workers and leverage machine learning to predict how well a worker’s skill set suits particular job openings.
  2. Scale proven workforce training models, including apprenticeships, sectoral partnerships, and customized job training programs.
  3. Modernize existing labor market adjustment efforts, including unemployment insurance and federal workforce training systems, to help workers navigate economic disruptions. 
  4. Expand wage insurance, which can speed reemployment and smooth income losses, particularly for older dislocated workers.
  5. Address the tax code’s preferential treatment of capital, which may distort a firm’s choice between workers and machines.
  6. Improve the national statistical infrastructure to ensure policymakers can monitor labor market trends and evaluate the effects of policy interventions.

Seamans cautions against AI-specific policy proposals, such as assistance programs targeted to AI-driven job losses and “robot taxes.” Determining whether layoffs were directly caused by technological adoption is administratively impractical, while implementing a robot tax risks penalizing productive investment, slowing the diffusion of efficiency-enhancing technologies, and inhibiting growth. 

Suggested Citation: Seamans, Robert. 2026. “Skills Alignment for the AI Economy: A Framework for US Labor Market Policy” In The American Economy in a New Era, edited by Melissa S. Kearney and Luke Pardue. Washington, DC: Aspen Institute.

America’s Risky Debt: What Markets See That Policymakers Don’t

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For decades, global investors were willing to pay a premium for the safety and liquidity of US Treasurys. That premium has eroded in recent years, and bond investors and monetary policymakers now disagree on how to price US government debt. In America’s Risky Debt: What Markets See That Policymakers Don’t, Hanno Lustig argues that markets and policymakers are now operating under different views of US debt. He points out that this dynamic raises the risk that monetary policymakers suppress the market signals that fiscal policymakers rely on to assess debt sustainability and makes several policy recommendations to restore price discovery within the Treasury market.

Monetary policymakers and regulators maintain a “safe-debt” view, assuming that government obligations will be paid off with certainty by future tax revenues and that the Federal Reserve will contain inflation. This view can be seen in the analytical models and regulations policymakers use. For instance, US banks do not have to hold extra capital against their holdings of Treasurys, even when these are long-dated bonds exposed to significant interest-rate risk.

Investors, however, increasingly question the safety of US debt and have re-priced it as a risky claim. Lustig points to three pieces of evidence that the safe-debt view in the market has eroded since 2020:

  1. US Treasurys are no longer expensive relative to close substitutes like AAA-rated US corporate bonds or other foreign sovereign debt.
  2. The historically negative correlation between US stocks and bonds has flipped, and investors no longer flee to the safety of Treasurys during stress events. 
  3. Foreign reserve managers are diversifying away from dollar-denominated assets.

The shift away from the safe-debt view among market participants coincides with changes in the structure of the Treasury market that make it particularly sensitive to sudden shocks: the maturity profile of Treasury debt is shortening, regulation-driven balance sheet adjustments have lessened the role of certain large banks (“primary dealers”) as shock absorbers, and more price-sensitive hedge funds are now playing a larger role in the Treasury market. Because of these structural vulnerabilities, monetary policymakers operating under an outdated safe-debt frame routinely misinterpret fiscal-driven sell-offs as mere bond-market “plumbing” problems. 

With public debt projected to continue to rise, the US must eventually rely on primary surpluses, an inflation tax, or financial repression to manage its obligations. Financial repression occurs when a central bank artificially holds interest rates below market levels so the government can service its massive debt cheaply. While this mechanism provides temporary relief for fiscal authorities, it creates an implicit fiscal dominance that acts as a hidden tax on bondholders and other savers. Routinely buying back Treasurys to fix supposed plumbing issues ultimately suppresses the market price signals that would call for fiscal discipline in Congress, enabling continuous debt accumulation.

Lustig warns that if central banks continue relying on an outdated safe-debt framework, the ultimate result will be severe financial repression or high inflation. To restore genuine price discovery within the Treasury market, he proposes several reforms:

  1. Define market dysfunction: Monetary policymakers should publish clearer ex-ante criteria for what constitutes Treasury market “dysfunction,” though that distinction may be difficult to make in real time. 
  2. Establish a new Fed-Treasury accord: The Fed should commit not to intervene in the Treasury market outside narrowly defined money-market plumbing functions. Such an accord must be paired with explicit accountability arrangements: ex-post legislative review of balance sheet interventions and clear exit conditions. 
  3. Abandon the safe-debt model: Monetary authorities should abandon the safe-debt model, rather than continuing to treat Treasurys as unconditionally safe in stress-testing exercises, capital frameworks, and forecasting models. 
  4. Strengthen market architecture: Regulators should make the plumbing of the financial system resilient enough to withstand shocks without central bank bailouts by reforming Treasury market structure to reduce the risk posed by any single party and recalibrating balance sheet regulations for large banks that act as intermediaries in the Treasury market.

Suggested Citation: Lustig, Hanno. 2026. “America’s Risky Debt: What Markets See That Policymakers Don’t.” In The American Economy in a New Era, edited by Melissa S. Kearney and Luke Pardue. Washington, DC: Aspen Institute.

Stablecoins After GENIUS: Private Money, Public Debt, and the Global Dollar

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The 2025 GENIUS (Guiding and Establishing National Innovation for US Stablecoins) Act established the first comprehensive US regulatory framework for US dollar (USD)-backed stablecoins, setting the stage for significant growth of these digital assets in the coming years. In Stablecoins After GENIUS: Private Money, Public Debt, and the Global Dollar, Nellie Liang and Brent Neiman describe how stablecoins fit within the financial system, outline the advantages and risks they pose, and offer recommendations for accommodating the growth of the stablecoin market while managing associated risks.

Stablecoins are privately issued assets designed to maintain a stable value relative to the US dollar. They are backed by liquid reserves, mainly short-term Treasury debt. Stablecoins operate on a decentralized, distributed blockchain ledger system that the issuer does not unilaterally control. 

The total supply of USD stablecoins has grown more than tenfold in six years, rising from $24 billion in 2020 to $270 billion in June 2026. Estimates for overall stablecoin growth range from $500 billion to $5 trillion by 2030 as their use in real-economy payments grows, particularly in business-to-business transactions.

The authors frame their analysis of the stablecoin market around three features, each with advantages and risks, paired with policy recommendations.

1. The advantages provided by stablecoins’ decentralized structure must be balanced against the operational risks they pose. Stablecoins offer a number of advantages, including increased settlement speed, 24/7 availability, and lower transaction costs. For instance, the authors estimate stablecoin-based cross-border transfer fees range from 1 to 4 percent, compared to global remittance fees that average approximately 6.4 percent on a $200 transfer. However, their decentralized structure reduces consumer safeguards, risks run-like instability during market stress, and invites illicit finance through anonymous peer-to-peer transfers that bypass traditional enforcement tools.

The authors recommend that regulators set capital, liquidity, and risk management standards to ensure stablecoins maintain their convertibility at par (that is, $1 per token) in times of stress; consider restricting stablecoin transactions to registered private wallets held at regulated custodians that meet international AML/CFT standards; and build mechanisms to give consumers recourse when they are defrauded or make errors.

2. The fiscal benefits of increased demand for Treasury debt also create risks to the financial system. While not designed as a fiscal instrument, stablecoins increase demand for Treasury bills (T-bills), which in turn reduces federal borrowing costs. Depending on the growth scenario, net new T-bill demand could reach 26 percent of T-bills outstanding by 2030. Yet, this benefit should be balanced against risks that come from increased variability in debt service, lost seigniorage revenue, and reduced availability of credit to small businesses.

To manage these risks, Treasury should evaluate how to incorporate new demand into its models of debt issuance to determine the optimal debt maturity structure. Authorities should also enforce existing bans on stablecoin interest payments to prevent sudden deposit flight from traditional banks that local businesses rely upon for credit.

3. While the growth of USD stablecoins may reinforce the global role of the dollar, it can also raise concerns among foreign authorities. High international adoption of stablecoins strengthens US dollar dominance, but foreign authorities will likely have concerns about the growing use of USD stablecoins in their economies — namely, that it might erode their monetary sovereignty through a weakening of monetary policy transmission. If such concerns are left unaddressed, foreign policymakers might enact policies resisting this growth.

Liang and Neiman advise that US officials must work closely with foreign regulators to preserve the benefits generated by the use of USD stablecoins while addressing cross-border risks and minimizing spillovers that threaten foreign monetary stability.

The authors conclude that greater USD stablecoin adoption could create value on net for the US in the near- to medium-term, but stablecoins do not yet have sufficient protections for users or against illicit finance. Over the long term, substitution away from money settled by the central bank could create more fundamental risks to the structure of the financial system, as in the “wildcat” banking period in the US in the 1800s. The authors emphasize that, given current and projected trends, maintaining the status quo is not a feasible choice, but policymakers can positively influence the role USD stablecoins play in the future global payments system.

Suggested Citation: Liang, Nellie and Neiman, Brent. 2026. “Stablecoins After GENIUS: Private Money, Public Debt, and the Global Dollar.” In The American Economy in a New Era, edited by Melissa S. Kearney and Luke Pardue. Washington, DC: Aspen Institute.

Key Takeaways From “The American Economy in a New Era”

Watch a recording of the event here.

On August 5, 2026, the Aspen Economic Strategy Group (AESG) hosted The American Economy in a New Era featuring Stanford University economist Erik Brynjolfsson and Lazard CEO and Chairman Peter Orszag in conversation with AESG Director Melissa S. Kearney.

Opening the AESG’s sixth public program — held immediately following the group’s private annual meeting in Aspen, Colorado — Kearney noted that this year’s theme centered on perhaps the single most transformative force reshaping the American economy: artificial intelligence.

Kearney highlighted that perspectives on AI span a wide spectrum, with some developers forecasting miraculous advances in worker productivity and human flourishing, and others anticipating severe risks. To anchor the discussion, she asked Brynjolfsson and Orszag where their own outlooks fall along that continuum. 

Brynjolfsson observed that despite remarkable strides in AI capabilities, key indicators — such as GDP, productivity growth, and employment — have yet to demonstrate significant movement. Brynjolfsson explained that this lag is a feature of the “productivity J-curve,” which posits that the effects of transformative new technologies can take time to appear in aggregate economic statistics as firms invest in the integration of such tools into business processes.

Furthermore, Brynjolfsson’s recent research suggests that the US economy is not facing an imminent “jobs apocalypse.” However, the data show early job losses among less experienced workers in sectors heavily exposed to AI. Orszag concurred that specific sectors of the economy are likely to face disruption, but noted that the technology is now mature enough to fundamentally transform workflows. The upside of these advancements, he suggested, is that younger workers will spend less time on monotonous, repetitive tasks, empowering them to advance within their organizations far faster.

Noting that public anxiety about AI is on the rise, Kearney asked the panelists how younger generations should prepare to participate in an AI-infused economy. Both emphasized that success will hinge on learning to ask the right questions, particularly as the technology becomes more adept at executing tasks. Additionally, Orszag highlighted that companies will place a growing premium on human-centric skills, favoring workers who excel at building relationships and instilling trust. 

To ease this anxiety, Brynjolfsson outlined several proactive steps policymakers can take. Most crucial, he argued, is steering AI development to augment human capabilities rather than replace them entirely. He also urged policymakers to reimagine the tax code, wage insurance, and job training programs, while Orszag noted that lingering questions around the liability of AI companies’ use of training data will similarly demand a swift policy response. 

Additionally, both Brynjolfsson and Orszag acknowledged that the US economy faces a growing risk of market concentration as a handful of dominant AI firms amass vast wealth and political influence — a trend already evidenced in the rise of “superstar” companies pulling far ahead of their competitors. 

When asked whether AI development offers an opportunity for US-China collaboration, or whether the country finds itself in a zero-sum race, Orszag framed this dynamic as fundamentally competitive rather than collaborative, pointing to China’s desire to undermine the “underground empire” — the foundations of the global economy that largely run through US financial and technological infrastructure. Brynjolfsson agreed that the relationship is competitive and suggested that the best way forward is to accelerate technology adoption across domestic firms, reform immigration policy to attract global talent, and bolster international alliances.

To close the session, Kearney invited both panelists to share why they remain hopeful about the country’s economic future.

“Despite the fact that we’ve talked about a bunch of the risks, the fact of the matter is, if you look at a whole variety of indicators, this is still the country I would want my kids to grow up in, I would want to locate the majority of our business activity in, and that at the margin, I’d want to invest in,” Orszag affirmed.

Brynjolfsson concluded, “We need to worry about the economic and other concerns and work really, really hard to address them. If and only if we do that, then I think the next ten years will be arguably the best ten years in all of human history.”

Key Takeaways From “AI for Good: A Conversation With Josh Tyrangiel”

Watch a recording of the event here.

On June 9, 2026, the Aspen Economic Strategy Group hosted author Josh Tyrangiel to discuss his new book, AI for Good: How Real People are Using Artificial Intelligence to Fix Things That Matter

The book explores real-world examples in areas such as education, healthcare, and public services where people are solving challenges in their field through the use of AI. Tyrangiel argues that, while this technology carries risks, society cannot afford to reject AI out of fear. Rather, we must work to shape its applications in ways that benefit society.

Tyrangiel suggests that AI integration is most successful when certain conditions are met. First, AI systems must augment, rather than replace, human judgment and activity. Second, AI systems must be designed to allow for oversight of output — a condition he refers to as “keeping humans in the loop.”

Finally, he points out that professionals operating on the front lines of their fields, not technical AI experts, are best positioned to identify existing inefficiencies and create solutions. The book’s case studies feature teachers, doctors, and government employees, many of whom do not have a formal tech background, who are successfully solving challenges within their fields with the assistance of AI.

Tyrangiel opened the program by identifying what the book does not set out to accomplish — namely, presenting AI as a riskless endeavor or suggesting that the technology is a “silver bullet” that will eliminate long-standing issues across policy sectors. Rather, he hopes that readers will work to acknowledge and mitigate risk where it exists while remaining imaginative about how society can use AI to address challenges that exist today. 

AESG Director Melissa S. Kearney questioned if there are any contexts where AI doesn’t belong, citing the lack of success in applying technology to improve outcomes in education. Tyrangiel acknowledged that the technology may have greater potential to directly help teachers rather than students, pointing to examples of instructors using AI-infused technology to adjust their lesson plans to better reflect how today’s students are interacting with the world. 

Kearney suggested that the AI integration Tyrangiel described throughout much of the book is evolutionary — rather than revolutionary — in nature. In response, Tyrangiel argued that the perception that AI use has to be revolutionary is pushed by labs whose primary motivation is to market their products as the most competitive offering on the market.

Despite prevalent advertising that positions AI as transformative, Tyrangiel maintained that today’s technology still has substantial limitations. Namely, large language models are trained on an enormous amount of historical data but cannot keep pace with the speed at which humans and their culture change. He asserted, “You can move really quickly. You can get lots of processing power. But what AI really doesn’t know yet is what do we want and how does it change?”

Tyrangiel also suggested that AI integration fails when humans are removed from the loop. He pointed to a sepsis identification algorithm that was recently implemented in Cleveland Clinic hospitals as evidence — medical professionals gained the most insight from the system only when they were able to compare the system’s diagnosis with their own knowledge and experience treating the condition.

Kearney closed by asking how individuals can work to advance an “AI for Good” agenda. Tyrangiel encouraged attendees to mobilize and demand the AI systems they want to see — otherwise, the technology will be shaped by those who do not prioritize using AI for the betterment of society. He concluded, “If you are passive in the face of this wave of technology… you’re going to get the very worst of AI.”

Testimony before the Joint Economic Committee: “Keeping Our Promises: Labor Inflows, Maintaining Competitiveness, and Supporting an Aging Population”

On Wednesday, March 18th, AESG Policy Director Luke Pardue testified at the Congressional Joint Economic Committee’s hearing, “Keeping Our Promises: Labor Inflows, Maintaining Competitiveness, and Supporting an Aging Population.” His written testimony is below. Watch the complete hearing here and see more information about the hearing here.

Chairman Schweikert, Ranking Member Hassan, and other members of the Joint Economic Committee, thank you for inviting me to participate in today’s hearing, “Keeping Our Promises:  Labor Inflows, Maintaining Competitiveness, and Supporting an Aging Population.” I am a PhD Economist and the Policy Director of the Aspen Economic Strategy Group, which is committed to advancing bipartisan, evidence-based solutions to America’s greatest economic challenges. Our country’s current demographic challenges are among the most important long-term challenges we face; they have implications for labor market dynamism, economic growth, and the path of our public debt. My testimony today draws on my own research, as well as research we have commissioned and published at the Aspen Economic Strategy Group. Following my oral testimony, I would be happy to take questions.

I. Introduction – America’s Demographic Challenges

The United States is in the midst of a consequential demographic transition, marked by the dual trends of rising life expectancy and a sustained decline in the country’s birth rate.

Following the mid-twentieth-century Baby Boom and its subsequent reversal, the US total fertility rate – which is a constructed measure of the average number of children a woman will have over her lifetime based on current age-specific birth rates – remained roughly steady for several decades, hovering between 1.9 and 2.1. But that stability abruptly came to an end around 2007. Since then, birth rates have been on a downward trend, and the TFR fell from 2.12 in 2007 to a historic low of 1.63 in 2024. The fact that the US total fertility rate is now well below 2.1 has captured public attention, because 2.1 is the level of fertility at which a population replaces itself across generations.[1]

Meanwhile, the average lifespan in the US has steadily increased. A person born in the US in 1960 was expected to live to 70 years old, on average. By 2023, the average life expectancy had risen to 78.4 years.

As a consequence of declining birth rates and rising life expectancies, the share of the US population 65 or older has grown substantially, especially in recent decades. From 2005 to 2025, the share of the US population over age 65 increased from 12 to 18 percent (World Bank 2025).

These demographic shifts present substantial challenges to our country’s prosperity and our global economic competitiveness. In my testimony I would like to make three points:

First, the aging of the population is driving the rise in the federal government’s debt – and in turn reducing the capacity for other productive uses of spending. The aging of the large Baby Boom generation into retirement age has created a growing imbalance between spending on old-age entitlement programs such as Social Security and Medicare and the revenues needed to meet those obligations, leading to rising federal deficits. These deficits in turn leave less “fiscal space” for both economic emergencies and for other productive uses of public funds, including investment in future generations.

Second, this demographic shift has contributed to reduced American economic dynamism, lowering growth and diminishing the labor market prospects for younger workers. An innovative, dynamic business landscape drove the growth and prosperity that was a hallmark of the twentieth century US economy. Academic research has found that the aging of the US population is directly contributing to a decline in the rate of new business creation and firm growth. Today we are seeing job ladders “congested” by older workers remaining in their roles longer and a lack of new opportunities for young workers to step into.

Third, there are a menu of options available to policymakers to address these challenges. We should bring our high skill immigration system in line with the needs of our modern economy to attract the global talent that has historically driven innovation, entrepreneurship, and global competitiveness. We should invest in our domestic workforce, from childhood to young adulthood, to raise skilled, productive adults who can meet the needs of the global economy.  And we should take steps to address a significant driver of these long-term demographic trends: America’s declining birth rate.

II. America’s Aging Population and Fiscal Position

The country’s demographic trends have shaped the US federal government’s spending and revenue patterns, driving the large and growing federal debt. From 1960 through 2000, federal debt as a share of GDP hovered between 25 and 50 percent of GDP. In the middle of the first decade of the 2000s, the federal debt began to steadily climb, reaching 75 percent of GDP around 2015 and nearly 100 percent of GDP in 2024. In the long-run budget projections produced by the Congressional Budget Office (CBO 2025), federal debt will continue to grow as a share of GDP over the next thirty years, reaching over 150 percent by 2055.[2]

  1. The rise in spending on old-age entitlement programs over the past several decades has been a major contributor to the rise of primary budget deficits.

Demographic shifts affect the federal budget primarily because they affect the ratio of dependents, both children and the elderly, to the working-age population. Old-age dependency ratios are particularly important to understanding the rise in deficits and the federal debt over the past three decades – both because of the size of the cohorts entering retirement and the amount we spend on the elderly, reflecting for the most part the major old-age entitlement programs, Social Security and Medicare.

As America’s population has aged, spending on such programs has consumed a greater share of public resources. In the mid-1960s, spending on old-age entitlement programs was 2.5 percent of GDP. Since then, it has steadily risen to about 6 percent of GDP in 2000 and to almost 9 percent of GDP in 2023.[3] All else equal, if these programs had remained at their 2000 level as a share of GDP, the primary deficit in 2023 would have been about 0.8 percent of GDP, compared to 3.3 percent of GDP (Dettling and Pardue 2026).

  1. The continued aging of the country’s population is driving the projected increase in the US budget deficit over the next 30 years.

Spending on the major old-age entitlement programs is also projected to continue to grow relative to GDP and is a key contributor to further rising deficits and debt. This is because the still relatively large cohorts born just after the baby boom in 1960–1970 are expected to enter retirement at that time.[4] If old-age dependency ratios were to remain at their 2024 level throughout our projection, old-age entitlement program spending would grow much more slowly, reaching only 9.8 percent of GDP in 2055 instead of 12.6 percent.

Indeed, without the growth in old-age entitlement program spending due to rising old-age dependency ratios, deficits would fall substantially over the next 30 years. Around 2040, the government would begin operating under a primary budget surplus if it were not for the growth in such spending. With a budget surplus, the federal debt would begin to fall, net interest payments would be smaller, and total deficits would shrink.

  1. This rising debt is crowding out other productive uses of public funds

The rising debt presents many concerns, but I would like to highlight one here: higher debt reduces the country’s “fiscal space,” meaning its capacity to raise the deficit in the case of an economic emergency or to support other domestic needs without the possibility endangering access to financial markets (Dynan 2023).

One relevant example is that in 2019, for every dollar the federal government spent per child on programs benefitting children, it spent $5 per elderly American – just considering old-age entitlement programs alone (Kearney and Pardue 2023). By 2023, the federal government spent more on interest on the federal debt than it spent on children, which often generate large, long-run social returns (Hahn et al 2024).

III. Business Dynamism, the US Labor Market, and the Aging Population

Second, demographic shifts are also reshaping the U.S. labor market, slowing the business dynamism that has been a hallmark of the US economy since the middle of the twentieth century and hampering the career prospects of younger workers.

  1. Absent other changes, a slower-growing and eventually declining working-age population will hamper business dynamism, dampen productivity growth, and slow the rise of Americans’ living standards.                                                                                 

The United States has among the most dynamic and flexible economies in the world, allowing us to adapt to changing economic circumstances and recover from recessions.[5] Yet, we have seen a dramatic decline in key measures of business dynamism over the last four decades: between 1979 and 2023 the share of new employers as a fraction of all firms– what we call the startup rate – has fallen by 29 percent. At the same time economic activity is increasingly concentrated at large and mature firms (Decker et al 2014).

Recent research finds that the demographic shifts I have described are driving a substantial portion of this decline in dynamism: the slowdown in the growth of the working-age population, driven by end of the Baby Boom, can account for one third of the decline in the startup rate (Karahan et al. 2024).

This decline in business dynamism comes with real economic consequences. It has been linked to the drop in the share of income going to labor (Glover and Short 2018); it can account for the emergence of “jobless recoveries” (Pugsley and Şahin 2019); and, perhaps most importantly, the demographic-driven decline in firm entry has been linked to the long-term slowdown of aggregate productivity growth: between 1980 and 2014, this “startup deficit” dragged aggregate productivity down by 3.1 percent (Alon et al. 2018). The authors of that research calculated that, in 2014 alone, real median household income would have been roughly $1,600 higher had the startup deficit never occurred, with of course magnitudes larger effects over the entire 35-year period.

  1. Amid this decline in business dynamism and the aging of the workforce, “congestion effects” in the workplace are slowing down younger workers’ career trajectories.

Finally, I would like to shed light on one more consequence of these trends: the aging of the workforce amid declining business dynamism is slowing the career progression of younger workers.

Longer life expectancy and improvements in health care have contributed to an increase in the number of older workers who postpone retirement and remain active in the labor market. While this trend may benefit firms and older workers themselves, it has created challenges for younger workers, since it can also generate “congestion effects” that slow their own advancement up the career track (Bianchi and Paradisi 2026). As older employees remain in high-paying managerial roles longer, younger workers face fewer opportunities to move into such jobs and experience slower professional advancement during early stages of their career. When fewer new firms are created and existing firms age, there are fewer expanding businesses, and hence fewer newly created positions, to relieve this congestion in firms’ hierarchies created by an older workforce. The result is that younger workers face delayed progression, slower wage growth, and fewer chances to reach the top.

We have seen these dynamics play out in the United States amid the domestic retirement slowdown: looking between 1980 and 2017, research has found that, in US commuting zones where older workers delayed retirement, job opportunities shifted away from high-skill occupations and toward low-skill work. In these communities, younger workers with a college degree took jobs that often did not require a college education, and they earned lower wages than similar workers in areas that did not experience as great of a retirement slowdown (Mohnen 2025).

These congestion effects created by workforce aging are shaping key life choices and amplifying intergenerational inequalities by creating uncertainty about future earnings growth that make it harder for younger generations to buy homes, invest in education, and start a family during these prime years.

To be sure, this development might be in firms’ short-term interests, and it is certainly a good thing that people are living longer lives and are able to productively engage in work longer. However, it does present a real challenge about how to ensure young adults have opportunities to advance in their careers and develop leadership skills. It would serve our economy and society well if this challenge were acknowledged and addressed head on.

IV. Evidence-based paths to addressing these challenges

 Absent policy action, these trends paint a picture of America moving into the remainder of the 21st century with an older, slower growing – and should trends persist, shrinking – population. Left unaddressed, they point to a future where federal programs aimed at providing income security and medical care for the aging population consume an ever-greater share of our public resources, driving deficits and debt higher; where reduced business dynamism leaves younger workers without the skills and the opportunities they need to thrive; and where America is at a competitive disadvantage in the global economy.

 Thankfully, rigorous research backs up the idea that this does not need to be our future. I highlight three important steps policymakers can take to address these challenges:

  1. Reversing America’s declining birth rate may not meaningfully improve macroeconomic outcomes for decades, but we should still take steps to raise or stabilize the birth rate by supporting people who want to have children.

We can be sober-minded about the timeline over which changes in America’s birth rate can meaningfully affect population trends – and thus macroeconomic outcomes – while at the same affirmatively aiming to at least stabilize, if not reverse, its decades-long decline. In my work with Lisa Dettling, we find that even if fertility trends reversed beginning in 2026, deficits would not begin to improve for roughly 20 years – when the new cohorts entered the workforce – and until then, deficits would worsen as a result of public spending associated with children (Dettling and Pardue 2026).

However, a declining birth rate and a shrinking population brings significant challenges, as noted above. And, I would like to note, the potential environmental benefits of declining birth rates are often wildly exaggerated. Simply put, a change in births today will not meaningfully affect global emissions or the earth’s temperature over the next century, well before action may be required. Moreover, there is good reason to believe that our ability to discover and implement solutions to such challenges is greater in a world with more people, rather than fewer (Kuruc 2026).

Evidence suggests that there are ways to relax existing constraints and raise birth rates by making it easier for people who want to have children to feel like they can afford to. (See Kearney and Levine (2026) for an extensive review of this evidence.) Though incremental policy changes like modest tax credits and paid leave expansions have proven not to have large impacts on birth rates, small changes compounded over time can potentially lead to millions more people in this country (Stone 2025).

Furthermore, there is evidence suggesting that making it easier for young families to enter into home ownership might lead to meaningful increases in births. Looking back to the Baby Boom, the increased affordability and accessibility of single-family homes to young families through the introduction of low-down payment, fixed interest rate, long-term mortgages was responsible for about 10 percent of the increase in births (Dettling and Kearney 2025). In general, to reverse the decline in birth rates, we should enact policies that make raising a family more affordable and accessible to young adults today.

  1. We should treat high-skilled immigration as a key policy lever in our global economic competitiveness toolkit

In the near-term, we can create new opportunities for American workers, ease our fiscal strains, and meet America’s ambition for global economic leadership in this new era by improving our ability to attract and retain the world’s brightest minds.

High skilled immigrants – specifically, those holding STEM degrees – generate greater economic opportunities for the native-born population in several ways. They create scientific and technological innovations that raise productivity and boost wages of native-born workers (Peri et al 2015). They start new businesses in the US that then hire American workers. Indeed, after taking this business creation margin into account, immigrants act as net job creators in the United States (Azoulay et al 2020). They also make American entrepreneurs more successful: startups with founding teams made up of native-born Americans and immigrants have 23 percent more employees after three years than startups with only native-born founders (Jin et al 2025).

High skill immigrants also ease America’s public debt burden. A recent analysis by the Penn-Wharton Budget Model found that, keeping total immigration the same but shifting 10 percent of the visas awarded towards STEM graduates would reduce our budget deficit by $153 billion over ten years (Mazin and Reichling 2025).

To be sure, in our current era, when the connection between America’s technological leadership, national security, and economic power has rarely been stronger, attracting the best and brightest from around the world is not simply good policy but should be a national imperative. High skilled immigration is a tool that can generate economic growth and dynamism at any time, but right now it is a key policy lever in our strategic competitiveness toolkit, and it should be treated as such.

Yet today, the rules that govern our high-skilled immigration system are increasingly misaligned with the needs of the modern global economy. Green card limits set in the 1990s have resulted in wait times in some cases on the order of decades. Temporary visas have become the de facto talent recruitment system and annual renewal has become the standard retention system. And our system of selection relies on random lottery and first-come-first-serve rules rather than a comprehensive talent selection strategy (Neufeld 2025).

  1. Finally, investing in our future generations, from childhood through young adulthood, will create more skilled, productive workers and citizens.

A complimentary approach to that described above – raising the US birth rate or increasing high-skilled immigration – is to create a more productive population.

We can do that first by investing in children. Rigorous research has found that specific types of spending on children raise their educational attainment, earnings, and health in adulthood, often saving government funds in the long run as the higher earnings and improved health result in greater tax revenue and less reliance on government programs later in life (Pardue and Kearney 2023).

We also need to bolster our efforts to help adult workers navigate labor market disruptions. Fortunately, we have begun to see examples of worker training programs that produce positive results, and we must find ways to scale these programs to reach more workers. Sectoral Employment Programs, an example of “demand-driven” models of worker training that feature strong connections to local employers and target occupations in high-wage sectors, have been found to be particularly effective. (See Katz et al. 2022 for a discussion of these programs and the features that may lead to greater effectiveness.)

More broadly, we must think seriously now about how to improve our country’s education and labor market institutions, equipping workers with skills that allow them to be flexible and resilient in the face of a rapidly evolving economy.

Thank you again for the opportunity to testify. I look forward to taking your questions.

References

Azoulay, Pierre, Benjamin F. Jones, J. Daniel Kim, and Javier Miranda. 2022. “Immigration and Entrepreneurship in the United States.” American Economic Review: Insights 4 (1): 71–88.

Bartelsman, Eric, John Haltiwanger, and Stefano Scarpetta. 2013. “Cross-Country Differences in Productivity: The Role of Allocation and Selection.” American Economic Review 103 (1): 305–34.

Bianchi, Nicola and Matteo Paradisi. 2024. “Countries for Old Men: An Analysis of the Age Pay Gap,” NBER Working Paper 32340. https://doi.org/10.3386/w32340.

Bianchi, Nicola and Matteo Paradisi. 2026. “The Age Divide in the American Workplace” In Demographic Headwinds: The Economic Consequences of Lower Birth Rates and Longer Lives, edited by Melissa S. Kearney and Luke Pardue. Washington, DC: Aspen Institute. https://www.economicstrategygroup.org/publication/bianchi-paradisi-workplace/.

Congressional Budget Office (CBO). 2025b, March 27. The Long-Term Budget Outlook: 2025 to 2055. Publication no. 61187. CBO. https://www.cbo.gov/publication/61187.

Decker, Ryan, John Haltiwanger, Ron Jarmin, and Javier Miranda. 2014. “The Role of Entrepreneurship in US Job Creation and Economic Dynamism,” The Journal of Economic Perspectives, 28(3): 3–24.

Dettling, Lisa and Kearney, Melissa. 2025. “Did the Modern Mortgage Set the Stage for the U.S. Baby Boom?” NBER Working Paper 33446. https://www.nber.org/papers/w33446

Dettling, Lisa and Luke Pardue. 2026. “Low Fertility and Fiscal Sustainability: The Effects of Past and Future Fertility Rates on the US Federal Budget Outlook.” In Demographic Headwinds: The Economic Consequences of Lower Birth Rates and Longer Lives, edited by Melissa S. Kearney and Luke Pardue. Washington, DC: Aspen Institute. https://www.economicstrategygroup.org/publication/pardue-dettling-budget/

Dynan, Karen. 20223. “High and Rising US Federal Debt: Causes and Implications” In Building a More Resilient US Economy, edited by Melissa S. Kearney, Justin Schardin, and Luke Pardue. Washington, DC: Aspen Institute. https://doi.org/10.5281/zenodo.14019694.

Foster, Lucia, Cheryl Grim, and John Haltiwanger. 2016. “Reallocation in the Great Recession: Cleansing or Not?,” Journal of Labor Economics. 34(1).

Furman, Jason., 2024. “Eight Questions—and Some Answers—on the US Fiscal Situation” In Strengthening America’s Economic Dynamism, edited by Melissa S. Kearney and Luke Pardue. Washington, DC: Aspen Institute. https://doi.org/10.5281/zenodo.14036808.

Glover, Andrew and Jacob Short. 2020. “Demographic Origins of the Decline in Labor’s Share.” BIS Working Paper 874. https://www.bis.org/publ/work874.pdf

Hahn, Heather, Elli Nikolopoulos, Cary Lou, Hannah Sumiko Daly, Eden Phillips, Michelle Casas, C. Eugene Steuerle. 2024. “Kids’ Share 2024.” Urban Institute. Accessed 15 March 2026. https://www.urban.org/research/publication/kids-share-2024

Jin, Zhao, Amir Kermani, and Timothy McQuade. 2025. “Native-Immigrant Entrepreneurial Synergies,” NBER Working Paper 33804. https://doi.org/10.3386/w33804.

Karahan, Fatih, Benjamin Pugsley, and Ayşegül Şahin. 2024. “Demographic Origins of the Start-up Deficit.” American Economic Review 114 (7): 1986–2023.

Katz, Lawrence, Jonathan Roth, Richard Hendra, and Kelsey Schaberg. 2022. “Why Do Sectoral Employment Programs Work? Lessons from WorkAdvance,” Journal of Labor Economics. 40(1).

Kearney, Melissa S. and Phillip B. Levine. 2022. “The Causes and Consequences of Declining US Fertility” In Economic Policy in a More Uncertain World, edited by Melissa S. Kearney and Amy Ganz. Washington, DC: Aspen Institute. https://doi.org/10.5281/zenodo.14025899.

Kearney, Melissa S. and Phillip B. Levine. 2025. “Why Is Fertility So Low in High Income Countries?” NBER Working Paper 33989. https://www.nber.org/papers/w33989

Kearney, Melissa and Luke Pardue. 2023. “The Economic Case for Smart Investments in America’s Youth.” In Building a More Resilient US Economy, edited by Melissa S. Kearney, Justin Schardin, and Luke Pardue. Washington, DC: Aspen Institute.  https://www.economicstrategygroup.org/publication/the-economic-case-for-smart-investing-in-americas-youth/

Kuruc, Kevin. 2026. “The Environmental Benefits of Low Fertility and Population Decline are Overstated” In Demographic Headwinds: The Economic Consequences of Lower Birth Rates and Longer Lives, edited by Melissa S. Kearney and Luke Pardue. Washington, DC: Aspen Institute. https://www.economicstrategygroup.org/publication/kuruc-environment/.

Mohnen, Paul. 2025. “The Impact of the Retirement Slowdown on the US Youth Labor Market.”  Journal of Labor Economics. 43(1). https://doi.org/10.1086/725874

Neufeld, Jeremy. 2025. “Aligning High-Skilled Immigration Policy with National Strategy.” In Advancing America’s Prosperity, edited by Melissa S. Kearney and Luke Pardue. Washington, DC: Aspen Institute. https://www.economicstrategygroup.org/publication/neufeld-immigration/

Peri, Giovanni, Kevin Shih, and Chad Sparber. 2015. “STEM Workers, H-1B Visas, and Productivity in US Cities.”  Journal of Labor Economics. 23(33). https://doi.org/10.1086/679061

Pugsley, Benjamin Wild, and Ayşegül Şahin. 2019. “Grown-up Business Cycles.” The Review of Financial Studies 32(3): 1102–47. https://www.jstor.org/stable/48616820.

Ruiz Mazin, Felipe and Felix Reichling. 2025. “Shifting Immigration Toward High-Skilled Workers.” Penn-Wharton Budget Model. Accessed 15 March 2026. https://budgetmodel.wharton.upenn.edu/p/2025-03-24-shifting-immigration-toward-high-skilled-workers/

Stone, Lyman .2025. “Lyman Stone on Demographic and Marriage Decline.” MacroMusings Podcasts. Mercatus Center. Accessed 15 March 2026. https://www.mercatus.org/macro-musings/lyman-stone-demographic-and-marriage-decline

U.S. Centers for Disease Control and Prevention. “Table 1-7. Total Fertility Rates and Birth Rates, by Age of Mother and Race of Child: United States, 1940-80.” Accessed 15 March 2026. “https://archive.cdc.gov/www_cdc_gov/nchs/data/statab/tab1x07p.pdf

World Bank. 2025. Population Ages 65 and Above for the United States (SPPOP65UPTOZSUSA). Retrieved via FRED, Federal Reserve Bank of St. Louis. https://fred.stlouisfed.org/series/SPPOP65UPTOZSUSA.

[1] Similar patterns are seen in the US general fertility rate, a point-in-time measure of fertility, which held roughly steady for several decades after the end of the Baby Boom at around 65 to 71 births per 1,000 women of childbearing age, before falling to a historic low of 54.6 in 2023.

[2] See Dettling and Pardue (2026) for a discussion of the evidence regarding the level of debt that is sustainable for the United States to maintain or accumulate.

[3] Federal spending on children, on the other hand, accounted for about 2 percent of GDP in 2023 (Dettling and Pardue 2026).

[4] TFR averaged 3.0 from 1960–1970 (CDC n.d.).

[5] For a discussion of business dynamics in the US in an international comparison and its role during recessions, see Bartlesman, Haltiwanger, and Scarpetta (2013), Foster, Grim, and Haltiwanger (2013), Pugsley and Şahin (2019).

Demographic Headwinds: The Economic Consequences of Lower Birth Rates and Longer Lives

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The United States is experiencing a significant demographic shift as fertility decreases and the nation’s aging population grows. The AESG’s latest series, Demographic Headwinds: The Economic Consequences of Lower Birth Rates and Longer Lives, considers the long-term economic impact posed by the country’s falling birth rate and aging population, including the effects on the US labor market, US fiscal sustainability, state and local public finances, and environmental sustainability.

Introduction
By Melissa S. Kearney and Luke Pardue

The Age Divide in the American Workplace
By Nicola Bianchi and Matteo Paradisi

Low Fertility and Fiscal Sustainability: The Effects of Past and Future Fertility Rates on the US Federal Budget Outlook
By Lisa Dettling and Luke Pardue

Implications of Low Fertility and Declining Populations for the Operations of US State and Local Governments
By Jeffrey Clemens

The Environmental Benefits of Low Fertility and Population Decline are Overstated
By Kevin Kuruc

Introduction: Demographic Headwinds: The Economic Consequences of Lower Birth Rates and Longer Lives

Download Paper

The United States is in the midst of a consequential demographic transition, marked by the dual trends of a sustained decline in the country’s birth rate and a rise in life expectancy. Following the mid-twentieth-century Baby Boom and its subsequent reversal, the US general fertility rate held roughly steady for several decades at around 65 to 71 births per 1,000 women of childbearing age. But that stability abruptly came to an end around 2007, and births have been on a downward trend since, falling to a historic low of 54.6 in 2023. The associated US total fertility rate, which approximates the average number of children a woman will have over her lifetime given the current age profile of childbearing, declined from 2.12 in 2007 to 1.63 in 2024, well below 2.1—the level at which a population replaces itself across generations. At the same time, average lifespan in the US has consistently risen. A person born in the US in 1960 was expected to live to 70 years old, on average. By 2023, the average life expectancy had risen to 78.4 years. Amid low birth rates and rising life expectancies, the share of the US population 65 or older has grown substantially, especially in recent decades.

An immediate demographic consequence of an inverted population pyramid—that is, one where there are fewer young people and more old people—means that the share of the population of traditional working age (20 to 64 years old) is declining. This decline puts more pressure on a smaller share of the population to contribute to economic activity and to care for an aging population. These developments raise important questions about the prospects of US labor market and business dynamism; about national, state, and local public finances; and about the environmental impact of population decline. In what ways does this demographic transition represent a challenge to maintaining current living standards—and in what ways does it not? This volume considers four aspects of these questions.

The Age Divide in the American Workplace

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Demographic shifts are reshaping the U.S. labor market, as the share of the population within the working age has begun to decline. In The Age Divide in the American Workplace, Nicola Bianchi and Matteo Paradisi address the implications of this decline with a focus on within-firm dynamics.

Over the past five decades, longer life expectancy and improved health have enabled workers to remain employed later into life, altering the age composition of the workforce: the share of full‑time private‑sector jobs held by workers aged 20–24 fell by 7 percentage points between 1976 and 2024, the largest decline among all age groups. Over the same period, the share held by workers over 60 rose by 3 percentage points, the largest gain among all age groups.

At the same time, older workers postponing retirement are increasingly concentrated in high-paying leadership positions. In the mid-1970s, workers over 50 were about 5 percentage points more likely than workers under 30 to be employed in management occupations in the top quarter of the wage distribution. By 2024, this gap had widened to almost 8.3 percentage points. 

The authors point out that the greater availability of older workers can be beneficial for firms, at least in the short term, as they can rely on a larger number of workers with greater firm-specific knowledge and experience. However, this same force also results in “congestion effects” within firms, which can slow the advancement of younger cohorts. Younger workers face fewer opportunities to move into high-paying and managerial jobs, limiting their ability to make key life investments, such as buying a home or starting a family, and to gain the leadership experience they will eventually need.

The authors argue that this divide is best understood as a shift in fortunes across generations, where gains from experience for older workers come at the cost of decreased opportunities for younger workers. As firms benefit from potential short-term productivity gains, they also neglect long-term investments in the next generation of the labor force. The central task for firms and policymakers is thus to ensure that the benefits of longer and more productive careers for older workers do not come at the expense of the dynamism and opportunities that younger workers need to thrive.

Suggested Citation: Bianchi, Nicola., and Paradisi, Matteo., 2026. “The Age Divide in the American Workplace.” In Demographic Headwinds: The Economic Consequences of Lower Birth Rates and Longer Lives, edited by Melissa S. Kearney and Luke Pardue. Washington, DC: Aspen Institute. http://dx.doi.org/10.2139/ssrn.6506398.