Jun 14, 2026
Bay Area Tech Layoffs Hit 9,284 in 2026, Already Topping H1 2025
Bay Area tech companies have cut 9,284 jobs so far in 2026, already surpassing the roughly 4,700 cuts from the first half of 2025. The latest wave includes 370 positions across ServiceNow, Salesforce, Ubisoft, Quizlet, and Verily Health.
Jun 14, 2026
Meta Engineers Call AI Unit a ‘Gulag’ as Zuckerberg Admits Mistakes
Meta funneled 6,500 engineers into a new Applied AI unit three months ago. Now workers call it 'the gulag,' a livestream was hijacked by a furious employee, and Mark Zuckerberg is in damage-control mode, admitting the company made mistakes and ruling out more layoffs for 2026.
Jun 9, 2026
AI Drives 40% of US Job Cuts in May as 97,000 Positions Eliminated
AI was cited as the primary reason for 40% of all US job cuts in May 2026, according to the Challenger Report, with 97,006 positions eliminated overall. A separate Mercer survey found 99% of CEOs expect AI-driven layoffs within two years, as the technology sector alone shed 38,242 jobs — the highest monthly total since August 2024.
Related News
Jun 5, 2026
Google Cloud Quietly Lays Off Cybersecurity Teams as AI Investment Takes Priority
Google has laid off employees across its Cloud division's cybersecurity units, including the Threat Intelligence Group and Mandiant teams, as it redirects resources to AI. The cuts are part of a broader industry trend of security teams being shrunk while AI spending surges.
May 26, 2026
Meta Lays Off 8,000 Employees as Zuckerberg Bets Up to $145 Billion on AI
Meta laid off 8,000 employees — roughly 10% of its workforce — while redirecting 7,000 staff into AI roles and committing between $125 billion and $145 billion in 2026 capital expenditures. The restructuring is the company's largest single job cut since its 2022-2023 “Year of Efficiency,” and comes alongside canceled hiring plans for 6,000 additional positions.
May 8, 2026
Coinbase Restructures: Cuts 14% Workforce, Embraces AI-Driven Leadership
Coinbase is axing 14% of its workforce as it ditches 'pure managers' for AI-driven roles. Expect leaner, AI-backed 'player-coaches' managing larger teams. This shift could be risky, but also transformative for those adapting quickly.