Observed Signal · May 11, 2026 · Policy Update · Source: CNBC Technology · Impact: 3/5 · Sentiment: Neutral
White House: No Data Showing AI Costing Jobs Now
White House National Economic Council Director Kevin Hassett told CNBC on May 11, 2026, that there is "no sign in the data" that artificial intelligence is costing anyone their job right now, while the administration studies AI's future workforce effects via a taskforce. His remarks come amid a wave of tech layoffs at firms including Amazon, Meta and Oracle, with Block cutting nearly 4,000 roles in February and its CFO Amrita Ahuja citing a shift to smaller teams using AI to automate work.
White House commentary on AI and workforce, plus reporting of AI-linked layoffs at major tech companies, has moderate relevance to industry planning and policy but is not an immediate platform policy or technical release.
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Key Takeaways & Evidence Grounding
- Kevin Hassett, Director of the White House National Economic Council, said on CNBC that there is "no sign in the data" that AI is costing anyone their job right now.
- Hassett said the administration is studying the future workforce impacts of AI and has a taskforce on the issue.
- Major tech companies including Amazon, Meta and Oracle have announced rounds of job cuts with some citing AI-driven automation or productivity shifts.
- Block announced nearly 4,000 layoffs in February, reducing its headcount by nearly half; Block CFO Amrita Ahuja said the company is shifting to smaller teams using AI to automate more work.
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AI Linked to 25% of US Layoffs in March 2026
A t3n report summarizes findings attributed to Fast Company that a new Challenger, Gray & Christmas report identified AI as the reason for roughly 25% of U.S. layoffs in March 2026. The consulting firm's data show large tech workforce reductions year-to-date (more than 52,000 roles) with 18,720 cuts in the last month, affecting companies including Meta, Oracle and Dell (with Dell noted as a major driver of the spike). The article cites a MIT study from summer 2025 finding most companies investing heavily in AI have seen little measurable benefit so far, and notes critics such as OpenAI CEO Sam Altman who question the statistics. Challenger, Gray & Christmas recommends increased investment in reskilling and retraining to address AI-era workforce changes.
150,000 Tech Workers Laid Off in 2026; AI Cited
Through mid-June 2026 there were roughly 363 layoff events affecting about 150,000 tech workers, with AI increasingly cited as the stated reason even as many companies report record profits. Major firms named in the article include Block, Oracle, Meta, Microsoft, Cloudflare, PayPal and Coinbase; examples cited: Cloudflare cut ~1,100 roles (20%) while reporting $639.8M revenue (+34% YoY) and Oracle cut ~30,000 while reporting a 95% jump in net income. The piece argues firms are shifting payroll into AI capex (combined $725B capex from the four largest tech firms in 2026), that junior engineers and entry-level roles are disproportionately affected, and that some companies used internal data collection to train AI systems before making affected employees redundant. The article frames “AI replaces engineers” as an oversimplified narrative that masks strategic and financial incentives.
AI Creates Jobs Rather Than Destroying Them, Reports Show
This article argues that, contrary to widespread fears, AI has so far created more jobs than it has destroyed. It cites The Economist's estimate of about 1 million new jobs in America due to AI, exceeding the roughly 200,000 layoffs attributed to AI since mid-2023. The piece highlights that AI is generating new tasks and roles—such as AI engineers, data annotators, and heads of AI—while boosting demand in sectors like data-center construction and electrical contracting. Company-level research by Kharazian, Simon, and Stevens shows that firms adopting AI tend to hire more humans. The author discusses the psychological tendency to overestimate AI's impact on job security, referencing a paper by Hartley et al. that finds no correlation between AI exposure and actual job loss. The article concludes that, so far, the 'AI job apocalypse' has not materialized.
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