20 predictions · 674 sources·Updated Aug 20, 2026
How is AI reshaping
the labor market?
~674 sources, one pattern. AI adoption is accelerating, productivity is climbing, entry-level and freelance work is compressing, and jobs are changing faster than they're disappearing.
No measurable job displacement,
Important Reads This Week | August 21, 2026 | See all →
Brynjolfsson, Chandar & Chen · Aug 12
Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of AI
The third vintage of the most-cited paper in the field, now with ADP payroll data through June 2026 — and it changes its own headline measure. Earlier versions led with a regression estimate adjusting for firm shocks (13%, then 16%). This one leads with the simpler descriptive number that needs no modeling choices: employment of 22-25 year olds in AI-exposed occupations stands 19% below where it would be had it kept pace with less-exposed peers, up from 15% on the same measure a year ago. Experienced workers show no comparable gap, and Fact 1 remains that there is no economy-wide displacement — the ADP sample grew about 6%. The most useful thing here is the authors arguing against themselves. Education is the one control that bites (the gap attenuates from -18pp to -9pp), and they present the two estimates as bracketing a range rather than picking the flattering one, because generative AI substitutes best for exactly the codified knowledge schooling produces. They also concede the magnitude is ADP-specific: the ACS gap is -2.2pp with a confidence interval spanning zero against -13.2pp in ADP, though the two agree closely within white-collar work. Adjustment runs through hiring, not separations or pay.
Kartik B. Athreya (NY Fed) · Aug 5
AI's Impact on Labor and Hiring
The NY Fed's research director opens a new commentary series by reading his own bank's AI work as one argument: the labor-market story so far is changing skill requirements, not disappearing jobs. Second District adoption is climbing fast — service firms from 25% using AI in 2024 to 40% in 2025, manufacturers 16% to 26%, with 44% and 33% expected within six months — while firms report very few AI-driven layoffs and overwhelmingly intend to retrain rather than fire. The caveat he does flag: firms anticipate deeper cuts to hiring plans ahead, especially for college-educated workers. Regional and self-reported, so not comparable to the national BTOS series, but it is the clearest statement yet of how a Fed research shop reads its own evidence.
Revelio Labs · Jul 28
Introducing the Revelio AI Labor Market Tracker
Simon, Zweig and Wilkie-Rogers launch a live monthly dashboard across five lenses — talent supply, labor demand, equilibrium, work content, matching — built on online professional profiles rather than payroll. The headline finding independently replicates Canaries on non-ADP data: early-career workers (22-25) in the most AI-exposed occupations are down 13% relative to the least exposed since pre-ChatGPT, versus about 4% for all ages. Demand for the most-exposed roles is down 42%. The firm-side picture cuts the other way: AI-adopting firms grow headcount 27% more than non-adopters (though they were already growing faster pre-adoption), gains concentrate in senior roles (+31% vs +6% junior), and more AI-exposed firms see fewer layoffs, not more. Deliberately descriptive rather than predictive: the authors state the evidence does not establish that AI caused the decline in hires per posting. Two series no one else publishes monthly — a within-occupation activity-mix dissimilarity index (+8.4pp yoy, most change inside occupations rather than between them) and matching efficiency at 5.05 postings per hire, +264% yoy.
OpenAI Economic Research · Jul 27
Work at the Frontier: How AI is Expanding What People Do at Work
Chin and Richmond classify 800,000+ work-related ChatGPT messages from US users to a single O*NET detailed work activity, then compare it with the sender's stated occupation. The result they call task crossover: 16.8% of all work messages — and 43.5% of occupation-specific ones — concern tasks historically associated with another job. Cross-occupation work is the majority of occupation-specific messages in five of eight groups (customer experience 77%, design 75%, HR 69%). Borrowing and lending are independent: designers draw 35.2% of their messages from other fields while design tasks are only 1.7% of everyone else's; engineering is the inverse. Descriptive, not an employment estimate — but it argues the task bundles themselves are moving, which is a problem for any exposure measure built on fixed job descriptions.
FRED (St. Louis Fed) · Jul 24
FRED Adds Data About the Adoption of Generative Artificial Intelligence
The Bick-Blandin-Deming Real-Time Population Survey — the field's cleanest quarterly measure of US worker GenAI adoption — is now official FRED data: 137 series covering usage rates (overall, work, nonwork), time savings, and adoption compared with the PC and internet, with industry and occupation breakdowns. Latest readings: 43.4% of employed adults used GenAI for work and 57.9% of working-age adults used it anywhere in Q1 2026; GenAI-assisted work hours reached 6.3% in Q2 2026, up from 4.1% in late 2024. FRED hosting makes the series every major adoption synthesis relies on citable and API-accessible alongside official government statistics.
AI exposure does not equal job loss
AI adoption is accelerating and significantly changing work, but the impact on jobs is less clear.
40% of jobs are AI-exposed, but near-zero displacement measured so far. That gap is the story →
16 studies · Hover for quotes and links
Read more sources →How Will AI Affect Your Job?
Task visualizerAI doesn't replace whole jobs. It automates specific tasks. Explore which parts of 114 occupations covering ~64% of US employment are exposed and which remain human-dependent.
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20 Predictions for How AI Will Impact Jobs
PredictionsDisplacement, wages, and adoption: each with trend data, source quality ratings, and a weighted estimate from 674+ sources.
What if AI Creates More Jobs Than It Displaces
Demand elasticityVery possible based on historic data. Every general-purpose technology eventually created more jobs than it displaced, and AI may be no different.
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