AI's damage is showing up in paychecks
Daily Briefing | July 31, 2026
Torsten Slok spent most of 2026 insisting AI had left no mark on the labor market. As recently as May, the Apollo chief economist published a note titled “Zero Evidence of AI-Related Job Losses.” On July 30 he and colleague Sania Edlich released a paper that revises the position: AI is compressing wages while job counts hold steady. They built the finding on observed Claude usage data from Anthropic’s Economic Index rather than the theoretical exposure scores that have driven AI labor research for years. Workers in AI-exposed occupations saw real wage growth slow by 6.7 percentage points relative to less-exposed workers after 2023, with employment essentially flat. The productivity gains are real, and they are landing with employers.
The second half of today’s edition steps back from the day’s news to read across two weeks of reporting. Four findings, each covered here on its own, line up around one question: who gets equipped to use AI well, and who is left to work it out alone. Gallup has more than half of US workers using AI, with the productivity gains landing on the people who use it across many parts of their job. The Conference Board found most of those workers taught themselves, because employer training stops at prompting basics. Upwork’s marketplace already prices the split, paying more for judgment and cutting the rate for routine execution. A Boston College brief shows who falls through: older workers in exposed roles, leaving faster than they used to, about half of them into unemployment. Call it a skills gap and the fix sounds like a course catalog. The gap is in support.
By the Numbers
6.7 percentage points: how much slower real wage growth ran in AI-exposed occupations than in less-exposed ones after 2023, with employment barely changed (Apollo / Slok, July 30, 2026).
10.7 percent: the relative wage decline for the lowest-paid quartile of exposed workers, the steepest drop on the income ladder outside a small service-sector subsample (Apollo / Slok).
$28 billion: the estimated annual labor income now lost across roughly 5.8 million US workers, about 3.7 percent of the labor force, in jobs exposed enough to feel the squeeze (Apollo / Slok).
52 percent of US employees now use AI at work, up from 21 percent three years ago. Reported productivity gains climb from 45 percent among people who use AI for one or two tasks to 90 percent among those who use it for seven or more (Gallup, Q2 2026, July 20, 2026).
55.1 percent of workers use generative AI or AI agents daily or weekly, while 33.3 percent have had any employer AI training in the past six months and 28.3 percent get none at all (The Conference Board, “Skilling for AI,” July 28, 2026).
90 percent: the year-over-year growth in generative-AI execution work on Upwork, while pay per contract fell 13 percent; more complex AI work earned 45 percent more (Upwork Future Workforce Index 2026, July 14, 2026).
25 percent faster: the rate at which older computer programmers in high-AI-exposure roles are leaving, against the pre-2022 trend, with about half landing in unemployment rather than retirement (Boston College Center for Retirement Research, June 2026).
Layoffs and Company Decisions
Apollo’s economist finds AI is compressing wages while jobs hold
Slok and Edlich matched Anthropic’s Claude usage data to Bureau of Labor Statistics wage records across 321 occupations from 2015 to 2025, using a difference-in-differences model. Real wage growth in high-exposure occupations slowed 6.7 percentage points after 2023, while employment barely moved. The damage concentrates at the bottom: the lowest wage quartile lost 10.7 percent relative to less-exposed work, the second quartile 5.4 percent, the third 4.0 percent, and the top quartile showed no significant effect. Roughly 5.8 million workers sit in the exposed zone today, a conservative $28 billion in lost annual income the authors expect to grow.
Worker behavior tracks the finding. A June 2026 Software Finder survey of 1,005 employed Americans found half actively resisting new AI tools, with resisters earning about 20 percent less than adopters, $65,645 against $81,526, and 45 percent naming fear of becoming replaceable. Resistance climbs into sabotage further up the ladder: an April 2026 survey of 2,400 knowledge workers by Writer and Workplace Intelligence found 29 percent admitting they had undermined their employer’s AI strategy, rising to 44 percent among Gen Z, most often out of the same fear. Slok reads the backlash plainly: workers sense the machines will make them poorer.
Source: Fortune, July 30, 2026.
Why it matters: A wage effect is harder to see than a layoff, which is why the AI-and-jobs debate has stalled on headcount while pay erodes underneath it. The retention risk sits with the lower-paid, higher-exposure roles absorbing most of the squeeze, and the resistance surveys show those workers already suspect what is happening. Compensation strategy now belongs in the AI adoption conversation alongside reskilling.
Reskilling and Education
The AI skills gap employers name is a support gap they underfunded
Read as one story, the last two weeks describe a sequence. Gallup’s Q2 2026 study found 52 percent of US workers using AI, up from 21 percent three years ago, and the payoff rising with range: 45 percent of people who use AI for one or two tasks report a productivity gain, against 90 percent of those who use it across seven or more. Depth is where the return sits.
Most workers are left to reach that depth alone. The Conference Board’s “Skilling for AI,” out July 28, found 55.1 percent using AI weekly but only 33.3 percent trained by their employer in the past six months, and 28.3 percent offered nothing. Where training exists, it teaches prompting and basic literacy rather than the applied skill, running agents and rebuilding a workflow around them, that moves the numbers Gallup measures.
The market already pays for that difference. Upwork’s Future Workforce Index shows routine generative-AI execution growing 90 percent in a year while its pay dropped 13 percent, and complex, judgment-heavy AI work earning 45 percent more. The premium moved to the worker who directs AI and owns the result.
Not everyone gets to make that move. A Boston College brief by economist Geoffrey Sanzenbacher tracked workers 55 and older in high-AI-exposure jobs: computer programmers are exiting more than 25 percent faster than before 2022, and about half of the increase lands in unemployment rather than retirement. When the support is missing, the people with the least room to self-teach are the first out.
Sources: Gallup, “Organizational AI Adoption Jumps Six Points,” July 20, 2026; The Conference Board, “Skilling for AI,” July 28, 2026; Upwork Research Institute, Future Workforce Index 2026, July 14, 2026; Boston College Center for Retirement Research, June 2026, reported by CNBC, July 13, 2026.
Why it matters: The workers capturing AI’s upside are the ones who found their way to depth, often without help. Employers who treat AI training as a one-time literacy session fund the shallow end while the returns, and the retention risk, sit at the deep end. Pay for applied skill and protect the hours to build it, especially for the experienced staff most likely to leave quietly.
What Workforce Leaders Are Watching
Whether pay for AI-exposed roles keeps pace with the productivity those roles now generate, or whether the gap the Apollo paper measures widens as more work shifts to the tools.
What the “AI is not costing jobs” reassurance is worth now that a prominent skeptic has moved the argument from headcount to paychecks, and whether compensation strategy enters your AI planning alongside reskilling.
Whether your AI enablement reaches past prompting into applied skill, running agents and redesigning workflows, since that is where Gallup’s productivity gains and Upwork’s pay premium both concentrate.
Who owns the depth problem when 28 percent of workers report no employer AI training, and HR, L&D, and the business units each assume another function has it covered.
What your AI rollout offers a 58-year-old expert: protected time and real support, or the quiet pressure already pushing older workers toward unemployment.
This briefing was prepared automatically by the Workforce Rewired research assistant. All stories include direct source links.