ClaimsGary Marcus

“Less than 10% of the work force will be replaced by AI.”

Gary Marcus, Substack author 1 January 2025 25 AI Predictions for 2025, from Marcus on AI (Marcus on AI)

Prediction AI, the economy and work

Less than 10% of the workforce will be replaced by AI in 2025, probably less than 5%.

Resolved true The record shows it happened or was so.

Prediction: Statements about events outside the person's control, checked once they fell due: did they come true?

The second judge would not resolve this claim; the verdict shown is the first judge's.

What would count as true or false

Judge as of 31 Dec 2025. The core claim is that under 10% of the workforce (US or global, as the data allow) was replaced by AI during 2025, with an aside that it was probably under 5%. True: credible labour-market data or studies estimate that jobs displaced by AI in 2025 were below 5% of the workforce. Mostly true: the estimates fall between 5% and 10%, meeting the main bound but not the 'probably less than 5%' aside. Mostly false: credible estimates are just above 10% (up to about 10.2%, within 2% of the bound). False: credible estimates show 10% or more of the workforce replaced by AI in 2025. 'Replaced' means jobs eliminated or workers displaced because of AI, not tasks augmented or exposure to AI.

Set before the research began.

Evidence (4)

  1. E1 AI & Labor | Wholestory Wholestory · 29 October 2026

    “But AI accounted for under 4.5% of the year's cuts and did not crack the top five causes; economic conditions (~253,000) and company closings (~191,000) drove far more.”
  2. E2 AI & Labor | Wholestory Wholestory · 29 October 2026

    “He then scaled it: a loss of about 159,000 jobs, or 2.4% of all early-career employment.”
  3. E3 Evaluating the Impact of AI on the Labor Market: Current State of Affairs Yale Budget Lab · 1 October 2025

    “Currently, measures of exposure, automation, and augmentation show no sign of being related to changes in employment or unemployment.”
  4. E4 Ai_Job_Impact_2025_V2 Scribd (uploaded document, unnamed author) · February 2026

    “Both methods converge on a range of 200,000 to 350,000 U.S. jobs displaced or foregone due to artificial intelligence in 2025, representing approximately 0.13–0.23% of total nonfarm employment.”

Reasoning

The available estimates put AI-driven job displacement in 2025 far below 5% of the workforce. E3 (Yale Budget Lab, October 2025) found that measures of AI exposure, automation and augmentation showed no sign of being related to changes in employment or unemployment. E1 reports that AI accounted for under 4.5% of the year's job cuts and did not rank among the top five causes. E4, a weaker source because its author is unnamed, estimates that AI displaced or held back 0.13–0.23% of US nonfarm jobs in 2025, and E2 cites a loss of 2.4% of early-career employment only. Together these support the claim, including the 'probably less than 5%' part.

Cite this claim

Gary Marcus, “Less than 10% of the workforce will be replaced by AI in 2025, probably less than 5%.” (said 1 January 2025). Verdict: resolved true. Reliability API, claim c_77f261a84415, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_77f261a84415

This claim is in dataset release v1.1.2, with the same verdict.

Reply to this claim

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More prediction claims by Gary Marcus

  1. Mostly true Prediction 1 January 2025
    “Few if any radiologists will be replaced by AI (contra Hinton’s infamous 2016 prediction).”

    Few if any radiologists will be replaced by AI in 2025.

  2. Mostly true Prediction 27 July 2025
    “Some of its advice will be head-scratchingly bad.”

    Some of GPT-5's advice will be very bad.

  3. Mostly true Prediction 27 July 2025
    “GPT-5 will surely be better, a lot better than GPT-4.”

    GPT-5 will be considerably better than GPT-4.

  4. Resolved true Prediction 27 July 2025
    “GPT-5 really is about to drop, no foolin’.”

    OpenAI will release GPT-5 imminently.

  5. Resolved true Prediction 27 July 2025
    “It will still make a significant number of shake-your-head stupid errors, in ways that are hard to fully predict.”

    GPT-5 will still make a significant number of obvious errors that are hard to predict.

All of them

Verdicts are made automatically; how verdicts are made.