Nearly 200 economists and tech executives, including OpenAI CFO Sarah Friar and Anthropic co-founder Jack Clark, signed a statement Monday warning that AI could cause 'large-scale job displacement' an…
Stanford's Digital Economy Lab found that employment for 22- to 25-year-olds in AI-exposed occupations fell 16% after generative AI spread, with entry-level developer postings dropping 67% since 2022 …
California launched a public dashboard tracking AI-related unemployment claims in near-real time, but the tool only measures job losses, not gains, and relies on outdated occupation codes from 1991. T…
US software developers aged 22-25 have declined 19% from their late-2022 peak, while overall developer employment rose 10% to 1.69 million by May 2025. The collapse is concentrated in automatable role…
A Stanford study of 12,000 companies found that high AI-adoption firms grew headcount by 10.2% and entry-level hiring by 12% over 18 months, while low-AI firms shrank by 1.8%. The data challenges the …
Early-career IT employment in AI-exposed occupations has fallen 16% since ChatGPT's launch, with entry-level software developer roles dropping nearly 20%, threatening the talent pipeline for midlevel …
A data-driven analysis of the US frontend engineer market in 2026 reveals that hiring demand peaked in early 2022 and remains flat-depressed, with no recovery. The decline is attributed to macroeconom…
Stanford economist Erik Brynjolfsson's updated data from a partnership with ADP Research shows that employment for workers ages 22 to 25 in AI-exposed occupations continues to decline, with a 3.8% ann…
A Stanford-led study of 3.4 million people and 4 million job applications found that AI hiring algorithms from a single vendor produced racial disparities, with 26% of Black applicants and 15% of Asia…
Adam Michael Bauer and Gernot Wagner argue in Project Syndicate that the AI buildout mirrors the green transition, requiring massive upfront investment and creating short-term disruption while deliver…
The Stanford Digital Economy Lab launched the AI Economic Indicators, a series of dashboards providing timely data on artificial intelligence's impact on employment, productivity, and economic growth.…
A new analysis of 51 successful enterprise AI deployments by Stanford's Digital Economy Lab reveals a paradox: while customer support and IT operations are moving toward autonomous AI, software engine…
ADP chief economist Nela Richardson, analyzing payroll data covering one in six U.S. workers, warns that white-collar work is structurally unwinding as the historical accident that created it—driven b…
A November 2025 Stanford Digital Economy Lab working paper found that workers aged 22 to 25 in AI-exposed occupations experienced a 16% relative decline in employment after the spread of generative AI…