Edward Conard

Top Ten New York Times Bestselling Author

  • “…a must-read for serious students of economic policy.” - Glenn Hubbard, Dean, Columbia Business School, and former Chairman of the Council of Economic Advisers
  • “…reminds us that inequality sends a signal of what society lacks most, in America’s case, entrepreneurship and risk taking.” - Lawrence Lindsey, CEO, The Lindsey Group, former Director of the National Economic Council
  • “Unintended Consequences provides a provocative interpretation of the causes of the global financial crisis and the policies needed to return to rapid growth. Whether you agree or not, this analysis is well worth reading.” - Nouriel Roubini, New York University; Chairman, Roubini Global Economics
  • “…serious thinking for serious thinkers. …a thought-provoking blueprint for growing middle- and working-class incomes.” - Mitt Romney, former Governor of Massachusetts
  • “Unintended Consequences represents the most cogent and persuasive analysis of the Financial Crisis to date.” - Andrei Shleifer, 1999 John Bates Clark Medal Winner
  • “…a fresh argument for the productive value of inequality.” - David Autor, Professor of Economics, Massachusetts Institute of Technology
  • “…challenges misconceptions that distort our economic debates.” - Arthur Brooks, President of the American Enterprise Institute
  • “Unintended Consequences is far smarter and more thought-provoking than most economics written for the general public” - Greg Mankiw, Harvard University, Former Chairman of the Council of Economic Advisors
  • “Unintended Consequences is full of substance, it is one of the must-read books of the year, and once I finish it I will be giving it a second read through right away.” - Tyler Cowen, Professor, George Mason University
  • “There are an amazing number of good ideas and interesting points made in Unintended Consequences. The thinking underlying it, and the obvious depth of understanding of the author, are very impressive.” - Steven Levitt, coauthor of Freakonomics; 2004 John Bates Clark Medal
  • “Unintended Consequences offers deep and well-argued analyses on almost every issue.” - The New York Times
  • “…a fresh argument for the productive value of inequality.” - David Autor, Professor of Economics, Massachusetts Institute of Technology
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Graduating into Disruption: Labor Market Outcomes for AI-Exposed College Majors

AI Summary. College graduates in the majors most exposed to artificial intelligence show statistically significant employment declines following the arrival of AI chatbots, with the most-exposed 10% of majors down about 5 percentage points and the seventh and eighth deciles down about 2 points. The authors note flat pre-2020 trends and precise timing argue against alternative explanations such as uneven post-pandemic recovery.

Cody Orr, Lee Tucker and Lawrence Warren U.S. Census Bureau
Date Posted:
September 15, 2026

A Census Bureau analysis of 29% of recent US college grads ranked majors by AI exposure using pre-ChatGPT occupational patterns. After ChatGPT’s November 2022 release, employment fell across the top 4 exposure deciles, with the top decile down 5pp compared to the bottom 6 deciles.

Are graduates in AI-exposed majors seeing employment declines?

Core argument: Employment for graduates in the most AI-exposed decile of college majors declined by an average of five percentage points relative to 2022 after ChatGPT’s release, with statistically significant declines of about two percentage points for deciles seven and eight.

In the quarters prior to 2020, the event study coefficients are usually statistically indistinguishable from zero across all deciles. Post-ChatGPT, there is a small to moderate decline in employment relative to the control group across the top four deciles with a particularly large effect for the tenth decile. For deciles seven, eight, and especially ten, these are statistically significant declines: an average of two percentage points for deciles seven and eight and five percentage points for decile ten relative to 2022. Decile nine also shows evidence of statistically significant declines, but this might reflect reversion to long-run trends rather than a negative effect of AI. Employment effects are clearly most acute among the most-exposed decile of majors. The relatively fat pre-trends and precise timing help to rule out some alternative explanations, such as heterogeneity in the post-pandemic recovery or the effects of a tight labor market in the reference period.

Takeaways by Macro Roundup® AI

  1. Employment for graduates in the most AI-exposed decile of college majors declined by an average of five percentage points relative to 2022 after ChatGPT’s release, with statistically significant declines of about two percentage points for deciles seven and eight.
  2. Event study coefficients were usually statistically indistinguishable from zero across all exposure deciles in the quarters before 2020, with small to moderate employment declines concentrated in the top four deciles afterward.
  3. Flat pre-trends and the precise timing of the employment declines help rule out some alternative explanations, such as heterogeneity in the post-pandemic recovery or a tight labor market in the reference period, while decile nine’s decline may reflect reversion to long-run trends.

Related Articles:

  • Looking for the Ladder — The article argues that the hiring downturn in occupations most exposed to generative AI reflects interest-rate sensitivity rather than AI itself, since roughly 38% of workers in the most AI-exposed quintile work in information, finance and insurance, and professional and technical services, versus under 2% in the least-exposed quintile.
  • Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence — Employment for workers aged 22–25 in the occupations most exposed to artificial intelligence has declined roughly 18pp relative to less-exposed peers, with no comparable decline in other age groups. The authors find this operates mainly through reduced hiring, concentrated where AI substitutes for human tasks rather than complements them.
  • The College Wage Premium in the Generative AI Era — The U.S. college wage premium fell from 0.626 to 0.575 after four decades of expansion, implying the first sustained negative growth in relative demand for college-educated labor. The authors estimate that weaker wage growth in occupations highly exposed to artificial intelligence accounts for roughly 28% of that decline, though the patterns are not causal.
  • Unemployment/Participation
  • Productivity
    • Innovation/Research
  • Workforce
    • Education
      • K-12
    • Wages/Income
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Showing 96 database articles primarily about Unemployment/Participation

On Europe’s Economy, Let’s Ditch The Lazy Stereotypes

AI Summary. Prime-age adults aged 25–54 and older workers aged 55–64 have higher employment rates in Europe than in the US, while US youth employment is higher because Europeans spend longer in education. The share of young people not in education, employment or training is higher in the US than in Europe.

Chris Giles Financial Times
Date Posted:
September 10, 2026
Is Database:
Database
Is Important:
Important

Despite Europe’s high social spending relative to the US, Chris Giles notes that prime-age adult (25–54) labor force participation in the Eurozone has overtaken that of the US, and there has been a dramatic convergence in the LFP of older workers.

Do Europeans work less than Americans?

Core argument: Prime-age adults aged 25–54 in Europe are more likely to be employed than their US counterparts, whether measured with EU or Eurozone data, and Europeans aged 55–64 also have higher employment rates than Americans.

It does not matter whether you use EU or Eurozone data, prime-age adults (between 25 and 54) in Europe are more likely to be in work than those in the US. Older people (between 55 and 64) also have higher employment rates in Europe. Younger people (between 15 and 24) are more likely to have a job in the US, but that results from Europeans educating themselves for longer. The proportion of young people not in education, employment or training is higher in the US than in Europe. So welfare is not stopping work. More than that, the higher-welfare north of Europe tends to have higher employment rates than the south, although there is convergence within the Eurozone. Spain, in particular, has enjoyed rapid improvements.

Takeaways by Macro Roundup® AI

  1. Prime-age adults aged 25–54 in Europe are more likely to be employed than their US counterparts, whether measured with EU or Eurozone data, and Europeans aged 55–64 also have higher employment rates than Americans.
  2. Young people aged 15–24 are more likely to have a job in the US than in Europe, but that gap results from Europeans spending longer in education, and the share not in education, employment or training is higher in the US.
  3. The higher-welfare north of Europe tends to have higher employment rates than the south, with convergence within the Eurozone and rapid improvement in Spain.

Related Articles:

  • Why Do Americans No Longer Work So Much More Than Non-Americans? — About half of the 1990s gap between American and European hours worked had reversed by the end of the 2010s. The authors estimate US hours per person declined after the 2000s because of rising benefits for the non-employed—especially health benefits like Medicaid—while non-US hours rose with higher wages and lower work costs.
  • The Future of European Competitiveness – A Competitiveness Strategy for Europe — A European Union competitiveness report attributes the EU's labour productivity growth gap with the US largely to weaker activity in information and communications technology and large-scale digital services; excluding main ICT sectors, EU productivity was broadly at par with the US from 2000-2019. It estimates Europe's investment share must rise about 5 percentage points of GDP.
  • Ed Conard Debates Furman On “The Expected Value of Risk Taking” — A debate on U.S. fiscal policy argues that spending increases, rather than the tax increases needed to fund them, slow growth, and that higher taxes would reduce the expected value of America's innovative risk-taking. The argument holds that cutting debt below 100% of GDP is critical.
  • Unemployment/Participation
  • Comparisons
    • Europe USA Relative Performance
  • GDP
    • Growth
  • Workforce

The Jobs Apocalypse Is Postponed. An AI Jobs Boom Is Here

AI Summary. Employment in five industries tied to the data-centre build-out, including electrical contracting and equipment manufacturing, has risen roughly 320,000 above what broader construction and manufacturing trends would suggest. Engineers, software developers, mathematicians and data scientists have added about 730,000 jobs above the trend for professional employment overall.

Economist Staff The Economist
Date Posted:
September 9, 2026
Is Database:
Database
Is Important:
Important

The Economist estimates that so far the AI boom has created ~1mm new jobs in the US, exceeding their estimate of ~200,000 layoffs attributed to AI since mid-2023.

Is the AI build-out adding jobs above trend?

Core argument: Employment in five industries tied to the data-centre build-out, from electrical contracting to equipment manufacturing, has risen by roughly 320,000 more since 2023 than broader construction and manufacturing trends would suggest.

[We] tracked five industries at the heart of the data-centre build-out, from electrical contracting to equipment manufacturing. Since 2023 employment in them has risen by roughly 320,000 more than broader construction and manufacturing trends would suggest. Not all of those jobs owe their existence to AI—grid upgrades and other factory building matters too. [We also] tracked employment in professional occupations closest to the AI boom—engineers, software developers, mathematicians and data scientists—and compared their growth since 2022 with professional employment overall. These roles have added roughly 730,000 jobs above trend in recent years. AI will not have created every single one of them. But it has almost certainly created quite a few.

Takeaways by Macro Roundup® AI

  1. Employment in five industries tied to the data-centre build-out, from electrical contracting to equipment manufacturing, has risen by roughly 320,000 more since 2023 than broader construction and manufacturing trends would suggest.
  2. Professional occupations closest to the AI boom—engineers, software developers, mathematicians and data scientists—have added roughly 730,000 jobs above the trend for professional employment overall since 2022.
  3. Not all of these above-trend gains are attributable to AI, since grid upgrades and other factory building also matter, though AI has almost certainly created quite a few of them.

Related Articles:

  • The College Wage Premium in the Generative AI Era — The U.S. college wage premium fell from 0.626 to 0.575 after four decades of expansion, implying the first sustained negative growth in relative demand for college-educated labor. The authors estimate that weaker wage growth in occupations highly exposed to artificial intelligence accounts for roughly 28% of that decline, though the patterns are not causal.
  • Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence — Employment for workers aged 22–25 in the occupations most exposed to artificial intelligence has declined roughly 18pp relative to less-exposed peers, with no comparable decline in other age groups. The authors find this operates mainly through reduced hiring, concentrated where AI substitutes for human tasks rather than complements them.
  • Looking for the Ladder — The article argues that the hiring downturn in occupations most exposed to generative AI reflects interest-rate sensitivity rather than AI itself, since roughly 38% of workers in the most AI-exposed quintile work in information, finance and insurance, and professional and technical services, versus under 2% in the least-exposed quintile.
  • Unemployment/Participation
  • Productivity
    • Innovation/Research
    • Investment
  • Workforce

Americans Without College Degrees Are Having One of the Best Job Markets in Years

AI Summary. The unemployment rate for workers ages 22 to 34 without a college degree has rarely been lower in the past two decades, and relative to their own historical ranges the job market looks much better for blue-collar and manual-service workers. Degree-holders still face lower unemployment rates overall.

Theo Francis and Ray Smith Wall Street Journal
Date Posted:
September 8, 2026
Is Database:
Database

In 2026, the 12-month moving-average unemployment for college-educated 22–34-year-olds is above its post-2003 mean, while the rate for non-college peers is historically low. Prime-age college grads still have lower unemployment than those with no degree.

Is the job market unusually strong for workers without college degrees?

Core argument: The unemployment rate for workers ages 22 to 34 who never graduated from college has rarely been lower in the past two decades, based on data through July.

The unemployment rate for workers ages 22 to 34 who never graduated from college has rarely been lower in the past two decades. To gauge how the job market has shifted for each cohort, [Gad Levanon, Burning Glass’s chief economist] compared current unemployment rates for the different groups with their own range of unemployment rates since 2003. The analysis included data through July. By that measure, the job market looks much better for blue-collar workers, including those in construction and on manufacturing lines, and manual-service workers. It is [however] still easier to find a job with a college degree. The unemployment rate for degree-holders in their prime working years—ages 25 to 54—averaged 2.7% for the 12 months ending in July - well below the 3.6% rate for workers with just some college education, and 4.7% for people with a high-school diploma only.

Takeaways by Macro Roundup® AI

  1. The unemployment rate for workers ages 22 to 34 who never graduated from college has rarely been lower in the past two decades, based on data through July.
  2. Burning Glass chief economist Gad Levanon compared each cohort's current unemployment rate against its own range since 2003, and by that measure the job market looks much better for blue-collar workers in construction and manufacturing and for manual-service workers.
  3. College graduates ages 25 to 54 averaged a 2.7% unemployment rate for the 12 months ending in July, below the 3.6% rate for workers with some college education and 4.7% for those with only a high-school diploma.

Related Articles:

  • College Grads Struggle to Find Jobs. Non-Grads Are Giving Up — The narrowing gap in unemployment rates between young college graduates and non-graduates appears driven mainly by non-graduates dropping out of the labor force rather than by diplomas losing value, since people not seeking work aren't counted as unemployed. The share of young non-graduates employed is 1.7 percentage points below pre-pandemic levels.
  • To Fix Education, Fix The Economy First — 30% of US adults have literacy skills typical of a 10-year-old, yet US workers scoring at that low level earn an average of nearly $30 an hour and two-thirds are employed, compared with about $20 and fewer than half employed in Britain. The author argues this reflects stronger economic growth rather than vocational education policy.
  • The College Wage Premium in the Generative AI Era — The U.S. college wage premium fell from 0.626 to 0.575 after four decades of expansion, implying the first sustained negative growth in relative demand for college-educated labor. The authors estimate that weaker wage growth in occupations highly exposed to artificial intelligence accounts for roughly 28% of that decline, though the patterns are not causal.
  • Unemployment/Participation
  • Workforce
    • Education
      • College
      • K-12

What’s Behind the Declining Trend Unemployment Rate?

AI Summary. The trend unemployment rate is estimated to have fallen from 7.8% in 1976 to 4.8% in 2024, a decline of about 3.3 percentage points, with a little more than half attributed to changes in workforce composition. Rising educational attainment is the largest compositional factor, lowering the trend by about 1 percentage point.

Andreas Hornstein, Marianna Kudlyak, Greeshma Avaradi and Taerin Kim Federal Reserve Bank of San Francisco
Date Posted:
August 26, 2026
Is Database:
Database

Hornstein et al find that about half of the ~3pp drop in the trend unemployment rate since 1976 is due to compositional change in the work force towards lower unemployment “types ” – in particular, older and more educated workers.

Why has the trend unemployment rate declined over recent decades?

Core argument: The estimated trend unemployment rate fell from 7.8% in 1976 to 4.8% in 2024, a decline of about 3.3 percentage points, with changes in workforce composition accounting for a little more than half of it.

We find that the trend unemployment rate declined from 7.8% in 1976 to 4.8% in 2024 [Figure 1]. Roughly half of that decline reflects compositional change. Figure 2 separates the estimated cumulative change in the annual unemployment trend since 1976 into its components. The total decline was about 3.3 percentage points by 2024. Changes in workforce composition account for a little more than half of that decline. Rising educational attainment is the single largest compositional force, lowering the trend about 1pp. Figure 4 plots estimated education shares for entering cohorts of women, and these patterns are similar for male cohorts (not shown). The figure shows a steady long-run fall in the share of new female cohorts with less than high school education and a steady rise in the share with some college or a college degree. [Returning to Figure 2], changes in group-specific LFP rate trends contribute only ~0.3 pp. The remaining decline, a bit under 1pp, comes from lower group-specific trend unemployment.

Takeaways by Macro Roundup® AI

  1. The estimated trend unemployment rate fell from 7.8% in 1976 to 4.8% in 2024, a decline of about 3.3 percentage points, with changes in workforce composition accounting for a little more than half of it.
  2. Rising educational attainment is the single largest compositional force in the decomposition, lowering the trend unemployment rate by about 1 percentage point.
  3. Changes in group-specific labor force participation rate trends contribute about 0.3 percentage point of the decline, while lower group-specific trend unemployment accounts for a bit under 1 percentage point.

Related Articles:

  • Global Views: They’re Not Hiking — Estimated underlying trend job growth slowed to about 5k, below the estimated 50k breakeven pace, so similar readings would likely reverse part of the unemployment rate's decline from 4.5% to 4.1%. The authors argue that decline reflects lower labor force participation rather than higher employment, with wage growth still weak.
  • Labor Force Participation Is High If You Measure It Right — The headline labor force participation rate — the share of people 16 and older working or looking for work — is a limited gauge of labor market health because participation varies greatly by age. Aging baby boomers and the addition of nearly 1.7m Americans 65 and older to population estimates add distortion.
  • Unemployment/Participation
  • Workforce

College Grads Struggle to Find Jobs. Non-Grads Are Giving Up

AI Summary. The narrowing gap in unemployment rates between young college graduates and non-graduates appears driven mainly by non-graduates dropping out of the labor force rather than by diplomas losing value, since people not seeking work aren't counted as unemployed. The share of young non-graduates employed is 1.7 percentage points below pre-pandemic levels.

Justin Fox Bloomberg
Date Posted:
August 25, 2026
Is Database:
Database

Labor force participation is rising for American college graduates aged 25–29, and is now at 89.4% – above its pre-pandemic level. Participation among non-college members of that age cohort is falling; at 78.7%, it is now below its pre-pandemic level.

Is the narrowing unemployment gap driven by non-graduates leaving the workforce?

Core argument: The employment-population ratio for young adults without college degrees is 1.7 percentage points below its pre-pandemic level and trending downward, while the ratio for young college graduates sits near its pre-pandemic level.

The narrowing of [the unemployment gap btw college and non-college workers] in recent years has lent support to narratives that college diplomas are losing their value amid the rise of large language models, the purported return of blue-collar work, and other job market changes. But while it may well be that diplomas have lost value, the recent shrinking of the young-adult education-unemployment gap seems to be driven mainly by a different phenomenon. Growing numbers of young adults without college degrees simply aren’t trying to find work and thus aren’t counted in unemployment calculations. The employment-population ratio for young college grads is not far off from where it was just before the pandemic and seems as if it might be headed upward again after a sharp drop in 2023 and 2024, for non-grads it is 1.7 percentage points lower than before the pandemic and clearly trending downward.

Takeaways by Macro Roundup® AI

  1. The employment-population ratio for young adults without college degrees is 1.7 percentage points below its pre-pandemic level and trending downward, while the ratio for young college graduates sits near its pre-pandemic level.
  2. The narrowing unemployment gap between young college and non-college workers appears driven mainly by growing numbers of non-graduates who are not seeking work and therefore are not counted as unemployed.
  3. The employment-population ratio for young college graduates fell sharply in 2023 and 2024 and appears as if it might be headed upward again.

Related Articles:

  • Labor Force Participation Is High If You Measure It Right — The headline labor force participation rate — the share of people 16 and older working or looking for work — is a limited gauge of labor market health because participation varies greatly by age. Aging baby boomers and the addition of nearly 1.7m Americans 65 and older to population estimates add distortion.
  • How Labor Force Participation Has Diverged Across Genders — Between 1976 and 2024 the trend labor force participation rate fell 10.1 percentage points for men and rose 8.2 points for women. Population aging lowered participation by about 4 points for each gender and rising education raised it (+6 for women, +3 for men), but the divergence is dominated by participation trends within age-gender groups.
  • AI, Immigration, and Collapsing Labor Force Participation — As labor force participation falls, a shrinking group of workers generates the income, taxes, and innovation supporting a growing number of non-workers, leaving the economy more fragile because labor shocks are concentrated among fewer participants. Labor scarcity raises the return on automation, robotics, and software, making growth depend on productivity rather than participation.
  • Unemployment/Participation
  • Politics
  • Workforce
    • Education
      • College
      • K-12
    • Family/Marriage

The Big Exceptions To The American Manufacturing Jobs Decline

AI Summary. Aerospace leads all US manufacturing industries in job growth and posted the largest manufacturing trade surplus at $116.7bn, supported by strong commercial airline demand and a record-high order backlog. Electrical equipment and components employment has also grown, with dedicated data centers more than doubling their real consumption of electrical equipment and components.

Jiaxin (Jason) He Agglomerations
Date Posted:
July 24, 2026
Is Database:
Database

The US has lost 300,000 manufacturing jobs since their recent peak in Q2 2023. Two subsectors have seen strong job growth: aerospace manufacturing added 43,000 jobs, and electrical equipment, cable and battery manufacturing added 36,200.

Which US manufacturing industries are adding jobs despite the overall decline?

Core argument: Aerospace leads all U.S. manufacturing industries in job growth since 2023 and posted the largest nominal trade surplus of any manufacturing industry last year, at $116.7 billion.

Aerospace leads all manufacturing industries in job growth since 2023. Last year it also posted the largest nominal trade surplus of any manufacturing industry, at $116.7 billion. Driving the growth has been strong commercial and passenger airline demand, including a record-high order backlog. Boeing, the world’s leading airplane manufacturer, returned to profitability and high delivery volumes in 2025. The employment surge in the electrical components subsector tells a different story. It owes its strength to two industries: electrical equipment manufacturing and batteries, wires, cables, and miscellaneous electrical components. These are among the industries that bore the brunt of the China Shock and suffered acute decline in the 2000s. Green energy and electric vehicles likely contributed to their initial recovery, raising demand for batteries and electrical infrastructure. But their continued growth even after the cancellation of EV subsidies in 2025 points to a different, potent, and entirely unsurprising driver: Artificial Intelligence. AI’s manufacturing footprint runs the length of the supply chain. Dedicated data centers more than doubled their real consumption of electrical equipment and components from 2019 to 2024.

Takeaways by Macro Roundup® AI

  1. Aerospace leads all U.S. manufacturing industries in job growth since 2023 and posted the largest nominal trade surplus of any manufacturing industry last year, at $116.7 billion.
  2. Strong commercial and passenger airline demand, including a record-high order backlog, has driven aerospace growth, and Boeing returned to profitability and high delivery volumes in 2025.
  3. Employment growth in electrical equipment manufacturing and in batteries, wires, cables, and miscellaneous electrical components continued after the 2025 cancellation of EV subsidies, pointing to artificial intelligence as a driver, with dedicated data centers more than doubling real consumption of electrical equipment and components from 2019 to 2024.

Related Articles:

  • Does the Import Invasion Explain the Mysterious Disappearance of Productivity Growth in U.S. Manufacturing? — The authors trace a channel from rising imports to lower domestic sales, employment, plant closures, profits, capacity utilization, and reduced investment in fixed capital and research. They note the computer and electronic products industry, which contributed most to the US manufacturing productivity slowdown, offshored production to Asia, reaching 84% import penetration.
  • Midyear Outlook — Tech-related investment rose 30% from year-ago levels while all other capital spending fell, a divergence the author argues reflects the AI boom bidding away scarce physical inputs such as electricians, grid capacity, metals, and construction labor. With hyperscalers' free cash flow now exhausted, over 80% of projected capital spending in coming years will require external financing.
  • What Would It Take to Bring Back US Manufacturing? Part 1: America’s Structural Headwinds — The US imports roughly 40% of the goods it consumes, directly and through imported inputs, with labor-intensive goods like apparel almost entirely imported. The authors argue America's main comparative disadvantage is its cost of production, driven mainly by labor costs, with real estate costs and a strong dollar also contributing.
  • Unemployment/Participation
  • Productivity
    • Investment
  • Workforce
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