Erik Brynjolfsson
Stanford economist whose 34:1 AI hire-suppression finding anchors the US displacement measurement debate.
Erik Brynjolfsson's Stanford Digital Economy Lab found on 10 April 2026 that AI is suppressing 950,000 to 1 million US hires a year, a ratio of roughly 34 suppressed hires for every declared AI layoff.
Last refreshed: 22 September 2026 · Appears in 1 active topic
How does Stanford calculate that AI suppresses nearly a million US hires a year?
Timeline for Erik Brynjolfsson
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AI: Jobs, Power & MoneyBackground
Erik Brynjolfsson directs the Stanford Digital Economy Lab and is among the most cited economists studying AI's effect on Labour markets. He co-authored The Second Machine Age (2014) with Andrew McAfee, arguing that digital technologies would reshape Labour markets faster than workers could adapt.
His central argument, that AI productivity gains accrue faster to capital than to Labour, has anchored a decade of policy and corporate debate over automation and jobs. He has tracked AI adoption metrics since the mid-2010s, building the empirical base his lab now draws on.
That body of work has made his lab's hiring-suppression framework the closest approximation to a federal AI-displacement baseline available to US policymakers, putting him at the centre of efforts to establish whether current layoffs are genuinely machine-driven or simply relabelled as such.
His lab measures suppressed AI hiring
On 10 April 2026 Brynjolfsson's Stanford Digital Economy Lab applied the Bureau of Labor Statistics' February JOLTS hiring rate of 3.1%, the lowest since April 2020, to the 158.6 million strong US nonfarm workforce. The result was 950,000 to 1 million fewer annual hires than the 2023 pace, a ratio of roughly 34 suppressed hires for every one of the 27,645 AI layoffs Challenger, Gray & Christmas had declared through March.
The effect concentrated among workers aged 22 to 25 in AI-exposed roles, down 16% since late 2022 against a 6 to 12% rise for over-30s. In June Brynjolfsson's lab turned the finding into a standing public dashboard, AI Economic Indicators, updating the estimate continuously rather than through one-off papers.