U.S. May Job Cuts Near 100,000 as AI Becomes Leading Reason for First Time

The post-pandemic hiring boom has given way to a leaner Silicon Valley, even as artificial intelligence drives a historic infrastructure cycle. Google, Amazon, Meta and Microsoft are expected to spend as much as $725 billion in 2026, largely on data centers and AI servers. The split between rising capital expenditure and shrinking payrolls shows that the sector’s growth is becoming more compute-intensive, with investment increasingly concentrated in chips, power and cloud capacity rather than broad-based hiring.

U.S. technology companies have announced nearly 140,000 job cuts in 2026 through July 24, according to a Financial Times analysis of corporate filings and data from outplacement firm Challenger, Gray & Christmas. The total represents more than one-third of all announced U.S. layoffs. Amazon, Oracle, Meta and Microsoft account for almost 50,000 of the reductions, about 6% of their combined workforce. The broader labor market remains comparatively resilient, with the U.S. unemployment rate holding at 4.2%.

Large U.S. companies are increasingly presenting artificial intelligence as a reason to cap hiring or cut staff, arguing that automation can raise workplace productivity. The claim, however, is difficult to separate from familiar pressures, including weak profitability, pandemic-era overhiring and economic uncertainty. Massachusetts Institute of Technology economist David Autor says AI can offer executives a more strategic explanation for retrenchment, while direct evidence that it has already caused broad job displacement remains fragmented.

Amazon announced on Oct. 28, 2025, that it would eliminate about 14,000 corporate roles, roughly 4% of its 350,000-person corporate workforce. Chief Executive Andy Jassy had previously said generative AI would reduce staffing needs over time, though Amazon representatives offered differing accounts of AI’s role in the cuts. A Wharton Human-AI Research survey released the same day found 82% of 800 U.S. enterprise leaders used generative AI weekly. Researchers said many gains still amount to minutes saved on routine tasks, not proof of mass replacement.