Technology

US Tech Sector Announces Its Highest Layoffs In Almost Two Years; The Reason Is…

North America / United States0 views1 min
US Tech Sector Announces Its Highest Layoffs In Almost Two Years; The Reason Is…

The US tech sector announced 38,242 layoffs in May 2026, the highest since August 2024, with AI cited as the primary driver for 87,714 cuts this year. Major firms like Meta, Cloudflare, and Cisco reduced workforces to prioritize AI investments, despite continued hiring plans in the industry.

The US technology sector reported its highest layoff figures in nearly two years during May 2026, with 38,242 job cuts planned, according to Challenger, Gray & Christmas Inc. This marks the largest monthly total since August 2024, as companies intensified investments in artificial intelligence. The sector has already announced 123,653 layoffs in 2026, a 65% increase compared to the same period in 2025. AI has driven 87,714 of this year’s layoffs, accounting for 22% of all job cuts—a significant rise from the 54,836 AI-related firings reported across 2025. Andy Challenger, chief revenue officer at Challenger, Gray & Christmas Inc., noted that AI is reshaping the labor market, with technology firms citing it as the leading reason for workforce reductions. Despite the layoffs, the tech sector remains a top hirer, with 11,250 planned positions in May 2026, though totals still lag behind pre-2024 levels. The broader private sector saw a 7% drop in layoff announcements over the past five months compared to 2025, reflecting a cautious hiring environment. Major tech companies have led the cuts. Meta laid off 10% of its workforce and reassigned 7,000 employees to AI-focused roles, while Cisco fired 4,000 staff, attributing the moves to AI adoption. Cloudflare CEO Matthew Price announced a 20% workforce reduction, eliminating roles in operations, middle management, and finance as the company expanded AI usage. The data underscores a dual trend: tech firms are aggressively scaling back non-core roles to fund AI development while continuing to hire for specialized positions. The shift highlights AI’s growing influence on workforce restructuring in the industry.

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