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His cited economist: impact under 1%

His own cited economist measures the impact under 1%.

“AI could push US unemployment from roughly 4% to 10%, matching Great Recession peaks, by displacing about 10 million workers”

Douglas A. McIntyre, 24/7 Wall St., 2 September 2026

Recorded 5 September 2026. Our ruling means: not supported by its own sources.

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Receipts pack

The evidence file for this verdict

6 receipts: 1 support the claim, 1 contradict it, 4 add context. 6 figures on the record, 5 traced to a quoted receipt.

The receipts

Each source, the line we quote from it, its date and which way it cuts. Free to read and to cite.

  1. 1Supports the claim247wallst.com ↗

    AI-driven job losses could push U.S. unemployment from 4% to 10%, matching Great Recession peaks and displacing roughly 10 million workers.

    Look up an archived copy ↗

  2. 2Contextdallasfed.org ↗

    automation exposure to generative AI reduced total Lightcast job postings in Texas by approximately 1.8 percent in 2024 and by 2.6 percent in 2025

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  3. 3Contradicts the claimpymnts.com ↗

    If job losses are distributed over 10 years and most workers find new employment within a year, the peak unemployment rate impact of AI would be less than 1%

    Look up an archived copy ↗

  4. 4Contextpymnts.com ↗

    That displacement, which would amount to about 15 million workers, could take place over 10 years

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  5. 5Contextweb.archive.org ↗

    Between 6 million and 7.5 million retail jobs could be eliminated by automation in the coming years

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  6. 6Contextcbsnews.com ↗

    You've said, "AI could wipe out half of all entry-level white-collar jobs and spike unemployment to 10% to 20% in the next one to five years."

    Look up an archived copy ↗

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