Stanford Digital Economy Lab
Stanford University research lab directed by Erik Brynjolfsson; showed AI suppresses 34 hires per declared layoff.
Stanford Digital Economy Lab's finding that AI suppresses roughly a million US hires a year had become the field's reference figure by 23 July 2026, when SAP cited its 34-to-1 ratio to explain a hiring freeze invisible to official layoff statistics.
Last refreshed: 22 September 2026 · Appears in 1 active topic
If AI is suppressing 34 hires for every announced layoff, how big is the real jobs hole?
Timeline for Stanford Digital Economy Lab
Mentioned in: Canada finds the hiring door narrowing
AI: Jobs, Power & MoneyEstimated roughly 34 suppressed hires for every declared AI layoff
AI: Jobs, Power & Money: SAP freezes research hiring for a yearPublished the We Must Act Now statement
AI: Jobs, Power & Money: 16 Nobel laureates sign Stanford's alarmMentioned in: Challenger: US cuts fall 53% in June
AI: Jobs, Power & MoneyMentioned in: AI cuts hit record 38,579 in May
AI: Jobs, Power & MoneyBackground
Stanford Digital Economy Lab is a research lab at Stanford University, directed by Erik Brynjolfsson, that studies the Labour-market effects of AI adoption. Its central method treats suppressed hiring, positions that go unadvertised because of AI, as the dominant channel of AI-driven job displacement, arguing that headline layoff counts understate the true scale by an order of magnitude.
The Lab coordinates with other academics and economists to keep pressure on policymakers and the central data agencies that have largely left the measurement gap unfilled. More than 200 economists, including 16 Nobel laureates, signed its We Must Act Now statement warning governments have only a few years to adapt.
Its age-concentration findings, that younger workers in AI-exposed occupations have fared markedly worse than older colleagues in the same roles, are the hardest part of its research to explain through non-AI channels, and give the Lab an outsized role in a debate where the Bureau of Labor Statistics has yet to publish an equivalent federal figure.
Its hiring-suppression ratio became the reference
The Lab's methodology reads suppressed hiring, jobs that go unadvertised, rather than declared layoffs, as the main channel through which AI displaces US workers. Applying the Bureau of Labor Statistics' February JOLTS hiring rate to the full nonfarm workforce, it found roughly 34 hires suppressed for every one of the 27,645 AI layoffs declared through March 2026.
Stanford's 34:1 ratio spread beyond academia. Challenger's May count of 38,579 AI-attributed cuts, the largest monthly total of the year, reasserted it, and by 23 July SAP was citing the same figure to explain why its year-long research hiring freeze would not register in official job-cut statistics.