Scores by kind of claim
Each kind of claim is scored on its own, out of 100: the share that held up, with the range it likely falls in. Fewer resolved claims give a wider range.
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Factual claims
Statements about the present or the past, checked against the record: did they hold up?
67 61 73 -
Predictions
Statements about events outside the person's control, checked once they fell due: did they come true?
60 44 76 -
Promises
Commitments to the person's or organisation's own future action, with something to deliver: was it delivered?
Insufficient record: 0 promises resolved, 5 needed for a score.
All types combined: 66 (likely 61 to 72, high confidence), from 105 claims: 94 factual claims, 11 predictions. It mixes kinds of claim in different proportions for different people, so compare people kind by kind.
Marc Andreessen's claims
19 claims
“It just can’t have been AI.”
Marc Andreessen, a16z cofounder, on 20VC podcast 31 March 2026 Marc Andreessen says AI layoffs are a farce (Fortune)
The recent corporate layoffs were not caused by AI.
Mixed Partly true and partly false in roughly equal measure.
What would count as true or false
Judge as of March 2026 whether the wave of recent corporate layoffs was caused by AI. The claim is categorical ('can't have been AI'). True: credible analyses and layoff trackers show AI accounted for no meaningful share of the cuts, with company AI attributions shown to be pretexts and the cuts driven by other factors (overhiring, interest rates, cost cutting, tariffs). Mostly true: AI was explicitly and credibly the cause of only a small share (under about 10% of announced cuts), with the main drivers elsewhere. Mixed: AI was one of several significant drivers (roughly 10–30% of cuts, or analysts were divided). Mostly false: AI was a substantial, documented driver of a large share of the layoffs. False: AI was the leading documented cause.
Evidence
- March 2026 CHALLENGER REPORT Challenger, Gray & Christmas · 2 April 2026
“In March, Artificial Intelligence (AI) led all reasons for job cuts, with 15,341 announced during the month, 25% of total cuts.”
- March 2026 CHALLENGER REPORT Challenger, Gray & Christmas · 2 April 2026
“So far in 2026, Market and Economic Conditions lead all reasons year-to-date with 45,103 cuts, followed by Restructuring with 37,916, Closings with 37,405, and Contract Loss with 31,817. AI ranks fifth year-to-date with 27,645 cuts, or roughly 13% of all job cut plans.”
- AI tied to a quarter of US layoffs in March CFO Dive · 2 April 2026
“Artificial intelligence was the leading cause of U.S. layoffs announced in March, accounting for roughly a quarter of the total, outplacement firm Challenger, Gray & Christmas said in a report Thursday.”
- AI Restructuring Or A Cover Story? Five Warning Signs For Executives Forbes Business Council · 26 October 2026
“In the employment context, “AI washing” is when a company blames layoffs on AI to disguise cuts driven by cost pressures, an ordinary reorganization or, in the worst cases, unlawful discrimination or a breach of an executive’s contract.”
Reasoning
Challenger's March 2026 report says AI was the top stated reason for job cuts that month, at 25% of announced cuts (E1, E3). For 2026 through March, AI ranked fifth at about 13% of announced cuts, behind market conditions, restructuring, closings and contract loss (E2). E4 describes "AI washing", where companies blame layoffs on AI to hide other causes, but it gives no figures for how often this happens. The evidence puts AI's share within the 10–30% band the criteria define as mixed, so it contradicts the claim that the layoffs "can't have been AI" but does not show AI was the main driver of the layoff wave overall.
Cite this claim
Marc Andreessen, “The recent corporate layoffs were not caused by AI.” (said 31 March 2026). Verdict: mixed. Reliability API, claim c_141adc455167, method 0.1.0+c876030c. https://epistacklabs.com/claims/c_141adc455167
Claims without a verdict
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