Opinion

The AI layoff wave is becoming a powder keg

Record profits, near-1,000-a-day job cuts, and a handful of AI insiders minting generational wealth — the optics are starting to write their own politics.

Photo: Unsplash / Alex Kotliarskyi — Empty modern office with rows of unoccupied desks and chairs

Tech is shedding roughly 974 workers a day, a pace 44% faster than last year, according to TrueUp. That number sits inside a larger arrangement that’s starting to look less like a labor adjustment and more like a political problem waiting for a spark.

The sequencing is what gives the story its charge. Amazon cut 16,000 people in January after eliminating 14,000 last fall. Cisco eliminated nearly 4,000 positions while disclosing it was investing in its staff’s “use of AI across the company.” Pinterest let go of 15% of its workforce. Crunchbase’s tracker logged at least 4,375 U.S. tech layoffs in the week ending June 10 alone, led by Amdocs, Salesforce, and a first-ever cut at Expeditors International.

Then, the other half of the split-screen. Cerebras Systems priced its Nasdaq IPO at $185 and closed its first day up 68%, a roughly $67 billion market cap that minted two new billionaires before the stock gave back 30%. SpaceX’s debut, by TechCrunch’s Connie Loizos, may have created around 4,400 millionaires in a single session and nudged Elon Musk into paper-trillionaire territory. Anthropic and OpenAI are circling public markets at trillion-dollar valuations, even as Fortune notes Sam Altman and Dario Amodei have quietly walked back their bleakest white-collar predictions.

The macro picture isn’t subtle. A January 2026 New York Times/Siena poll found 65% of voters saying a middle-class lifestyle is now out of reach. A more recent poll has 76% naming cost of living as their top economic concern, up from 58% a year earlier. Employer health premiums are climbing 6% to 7% this year, more than double inflation.

It’s worth being honest about causation. Apollo’s chief economist sees “zero evidence of job losses because of AI,” and many economists point to tariffs, the war in the Middle East, and broader uncertainty as the actual drivers of corporate caution. That’s the wonkish read. The political read is simpler: when firings are announced in the same memo as AI investment, voters don’t parse the footnotes. Loizos calls the collision of displacement and inequality “a powder keg,” and the framing is doing real work. Powder kegs don’t require accurate sparks.

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