“Unintended Consequences offers deep and well-argued analyses on almost every issue.” - The New York Times
“…serious thinking for serious thinkers. …a thought-provoking blueprint for growing middle- and working-class incomes.” - Mitt Romney, former Governor of Massachusetts
“A full-throated defense of economic dynamism.” - The Wall Street Journal
“Unintended Consequences represents the most cogent and persuasive analysis of the Financial Crisis to date.” - Andrei Shleifer, 1999 John Bates Clark Medal Winner
“…a very valuable contribution.” - Larry Summers, former Secretary of the Treasury and director of the National Economic Council, president emeritus, Harvard University
“…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 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
“…challenges misconceptions that distort our economic debates.” - Arthur Brooks, President of the American Enterprise Institute
“…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
“…a very valuable contribution.” - Larry Summers, former Secretary of the Treasury and director of the National Economic Council, president emeritus, Harvard University
“…serious thinking for serious thinkers. …a thought-provoking blueprint for growing middle- and working-class incomes.” - Mitt Romney, former Governor of Massachusetts
AI Summary.Measuring AI-driven job losses in the arts is difficult because media firms are reticent about their AI use and the effects are hard to separate from factors like Hollywood consolidation, offshoring of content production, and the shift to social media creators. All subsectors of the digital arts industry are losing jobs while in-person entertainment continues to grow.
Joseph PolitanoApricitas Economics
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The US has lost more than 200,000 jobs in “creative” industries – notably TV and movies – since mid 2022. “The clearest evidence of AI’s influence is just that all subsectors of the digital arts industry are losing jobs, while in-person entertainment is still growing at a healthy pace.”
Is it hard to measure AI's job losses in the arts?
Core argument: All subsectors of the digital arts industry are losing jobs while in-person entertainment continues to grow at a healthy pace, which the author presents as perhaps the clearest evidence of AI’s influence.
Proving the exact amount of AI-driven job loss in the arts is extremely difficult. [U.S. creative industries have nevertheless lost more than 200,000 jobs over four years, including roughly 50,000 in the last year. Movie and TV employment alone has fallen by more than 100,000, nearly one-third of the sector, while publishing has lost more than 70,000 jobs]. The effects of AI are hard to disentangle from other factors currently affecting arts businesses, like consolidation in Hollywood, offshoring of content production, or the continued displacement of traditional media providers in favor of social media creators. Yet perhaps the clearest evidence of AI’s influence is just that all subsectors of the digital arts industry are losing jobs, while in-person entertainment is still growing at a healthy pace.
Takeaways by Macro Roundup® AI
All subsectors of the digital arts industry are losing jobs while in-person entertainment continues to grow at a healthy pace, which the author presents as perhaps the clearest evidence of AI’s influence.
Media firms disclose little about their AI use, both to avoid public backlash and to preserve the legal basis for their copyrights, leaving the exact amount of AI-driven job loss in the arts extremely difficult to prove.
AI’s effects on arts businesses are hard to disentangle from consolidation in Hollywood, offshoring of content production, and the displacement of traditional media providers by social media creators.
Related Articles:
The Jobs Apocalypse Is Postponed. An AI Jobs Boom Is Here— 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.
AI is the Democratic Party’s Next Villain— Mentions of billionaires in Democratic fundraising emails quadrupled to a peak above 20% of all emails sent and have held near 15%, making anti-billionaire messaging a mainstay. Anti-AI populism remains far smaller and is entering Democratic rhetoric not as a jobs or safety issue but as something billionaires are building.
Forget AI. The California Job Market Is Powered By Healthcare— California's healthcare sector drives its job growth despite the state having the sixth-youngest population by share aged 65 or older and residents reporting fewer chronic conditions than almost anywhere else. State policy is one plausible partial explanation: expanded Medicaid coverage, including for undocumented residents, cut the uninsured share to 5.9%, while spending per enrollee is rising faster than enrollment.
AI Summary.An expanded unemployment measure for young college graduates — including those outside the labor force who report wanting a job — averaged 10.4% in the most recent summer, the highest of the five summers compared and 0.3 percentage points above the prior high. Estimated associations with occupational AI exposure are positive but not statistically significant.
Robert Fairlie and Jane WuNational Bureau of Economic Research
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For American college graduates aged 22 to 25 and not in school, summer unemployment was 7.3% in 2026, versus 7.1%, 6.3%, 7.8%, and 7.2% in 2022–25. These are ordinary seasonal peaks, with no evidence of an upward trend. A broader measure tells a similar story.
Is AI raising unemployment among recent college graduates?
Core argument: On the expanded unemployment measure including “sidelined” young college graduates, the June–August average was 10.4% in 2026, compared with 9.4% in 2022, 9.3% in 2023, 10.1% in 2024 and 9.4% in 2025.
Figure 2b displays the seasonal comparison for our expanded unemployment measure, which includes young college graduates who are “sidelined,” those not officially defined as being in the labor force but nonetheless report “wanting a job.” Averaging over June, July and August, the expanded measure was 10.4% in 2026, compared with 9.4% in 2022, 9.3% in 2023, 10.1% in 2024 and 9.4% in 2025. Summer 2026 is the highest of the five summers under this definition, although it exceeds the previous high by only 0.3 percentage points. The expanded measure thus indicates a larger increase relative to 2025, while also showing that high rates in the summer are not unique to 2026. The coefficient estimates of interactions between summer 2026 and both measures of occupational AI exposure are positive, but not statistically significant. The point estimate of the interaction with occupational teleworkability is positive but difficult to separate cleanly from AI exposure (Tables 4-6).
Takeaways by Macro Roundup® AI
On the expanded unemployment measure including “sidelined” young college graduates, the June–August average was 10.4% in 2026, compared with 9.4% in 2022, 9.3% in 2023, 10.1% in 2024 and 9.4% in 2025.
Summer 2026 is the highest of the five summers on the expanded measure but exceeds the prior high by only 0.3 percentage points, indicating high summer rates are not unique to 2026.
Coefficient estimates of interactions between summer 2026 and both measures of occupational AI exposure are positive but not statistically significant, and the positive point estimate for occupational teleworkability is difficult to separate cleanly from AI exposure.
Related Articles:
Graduating into Disruption: Labor Market Outcomes for AI-Exposed College Majors— 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.
The Jobs Apocalypse Is Postponed. An AI Jobs Boom Is Here— 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.
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.
AI Summary.China's urban unemployment rate for 16- to 24-year-olds excluding students reached 18.9%, the highest since the statistics agency revised its methodology to exclude students. A record influx of university graduates is entering a job market weighed down by weak domestic demand and growing adoption of artificial intelligence.
Xinyi WuSouth China Morning Post
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China’s youth unemployment (16–24) climbed to 18.9% in August, a level which it had previously hit last summer. 12.7 million new university graduates entered the workforce this summer, ~4% more than last year.
Is a record wave of graduates pushing China's youth unemployment higher?
Core argument: China’s urban unemployment rate for 16–24-year-olds excluding students rose to 18.9% in August from 17.9% in July, according to the National Bureau of Statistics.
China’s urban youth unemployment rose last month, as a record influx of university graduates struggles to find work in a job market weighed down by weak domestic demand and the growing adoption of artificial intelligence. The jobless rate for those aged 16 to 24, excluding students, rose to 18.9% in August from 17.9% in July, according to data released by the National Bureau of Statistics. This figure, as well as the identical number from August last year, represents the highest reading since Beijing revised its calculation methodology to exclude students in 2023, following a peak of 21.3% under the old rubric reported in June of that year.
Takeaways by Macro Roundup® AI
China’s urban unemployment rate for 16–24-year-olds excluding students rose to 18.9% in August from 17.9% in July, according to the National Bureau of Statistics.
A record influx of university graduates is struggling to find work in a Chinese job market weighed down by weak domestic demand and the growing adoption of artificial intelligence.
The 18.9% reading, matching August of the previous year, is the highest since Beijing revised its methodology in 2023 to exclude students, after a 21.3% peak under the old measure in June of that year.
Related Articles:
The Year of the Trojan Fire Horse: China’s Imbalanced Economy and Unrelenting Mercantilism— About 30% of Chinese industrial companies are unprofitable "zombies" kept alive by subsidies far larger than those elsewhere, rather than exiting amid falling industrial producer prices. Countries with large increases in manufactured imports from China also saw slowdowns in domestic manufacturing, including declining manufacturing shares of output across most of Southeast Asia.
Social Media in China Is Getting Really Dark— Posts across Chinese social media platforms including RedNote, Douyin and Weibo describe low wages, scarce jobs, falling property values and fear about the future, with some users turning hardship into dark humor or mocking official propaganda. The volume of pessimistic and sarcastic posts is striking given that China's internet censorship has grown more ruthless over the past decade.
China’s Great Jobs Squeeze— China's "flexible employment" — a loosely defined official category spanning part-time work, self-employment, and new work forms — is estimated at 320mn people, up from 280mn a year earlier, with more than 53mn working as food delivery or ridesharing drivers. Analysts argue this reflects broad labour-market weakness, as low aggregate demand weakens workers' bargaining power.
AI Summary.AI adoption has risen to 22.4%, with labor market effects visible but narrow: employment drags appear in marketing, graphic design, customer service, and some tech occupations, offset by 209k in added data center-exposed construction jobs. Corporate layoffs attributed to AI totaled 113k year-to-date, including 11k in a single month.
Sarah Dong and Joseph BriggsGoldman Sachs
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While finding a “slight positive correlation between AI adoption and unemployment among younger workers,” GS argues AI’s impact on the labor market remains “narrow.” The technology sector’s share of total employment continues to decline relative to its pre-2022 trend.
Is AI's labor market impact still narrow as adoption rises?
Core argument: AI adoption rose to 22.4%, with labor market effects remaining visible but narrow, concentrated in marketing, graphic design, customer service, and some tech occupations.
AI’s labor market impact remains visible but narrow. We continue to observe employment drags in specific industries where AI-use cases have been established such as marketing, graphic design, customer service, and some tech occupations. However, this is offset by construction job growth in data center-exposed categories, which is up 209k since 2022 (relative to broader construction employment trends). The tech share of total employment continues to decline relative to the pre-2022 trend. The correlation between AI adoption and broad labor market slack measures remains limited but has strengthened in recent months. Corporate layoffs attributed to AI affected 11k employees in June, bringing the 2026 YTD total to 113k.
Takeaways by Macro Roundup® AI
AI adoption rose to 22.4%, with labor market effects remaining visible but narrow, concentrated in marketing, graphic design, customer service, and some tech occupations.
Construction employment in data center-exposed categories is up 209k since 2022 relative to broader construction employment trends, offsetting employment drags in industries with established AI use cases.
Corporate layoffs attributed to AI affected 11k employees in June, bringing the 2026 year-to-date total to 113k, while the correlation between AI adoption and broad labor market slack measures remains limited though it has strengthened in recent months.
Related Articles:
Graduating into Disruption: Labor Market Outcomes for AI-Exposed College Majors— 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.
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.
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 WarrenU.S. Census Bureau
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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
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.
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.
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.
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 GilesFinancial Times
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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
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.
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.
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.
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 StaffThe Economist
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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
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.
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.
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.
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 SmithWall Street Journal
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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
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.
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.
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.
