{"version":"1.0","type":"card","id":"76e2f0ad-e56a-47fc-95cb-b0efd93299a3","url":"https://stacklist.com/card/76e2f0ad-e56a-47fc-95cb-b0efd93299a3","title":"AI push drives 45,800 tech layoffs in March","source_url":"https://www.peoplematters.in/news/strategic-hr/ai-push-drives-45800-tech-layoffs-in-march-worst-in-at-least-two-years-49447","note":"Companies cut jobs and redirect billions towards artificial intelligence, data centres and chips as efficiency takes priority over expansion. This marks the highest number of layoffs in the tech sector in at least two years.","image":{"url":"https://ucarecdn.com/fc764ef1-d4e6-4635-bbb1-e810981522a0/","alt":"AI push drives 45,800 tech layoffs in March","width":1200,"height":630},"stack":{"id":"848b27f4-bed8-4734-b1d6-d0adbc0f05b5","title":"Signals Served #009 — The Cost of Compute Became Strategy","url":"https://stacklist.com/c/finance/stack/848b27f4-bed8-4734-b1d6-d0adbc0f05b5"},"created_at":"2026-05-07T00:26:25.438Z","updated_at":null,"aco":{"summary":"The global technology sector cut 45,800 jobs in March 2026, the sharpest monthly contraction in at least two years, as companies redirect capital towards AI, data centres, and semiconductor investments. Major firms including Meta, Microsoft, Oracle, Snap, and Block are reducing headcount while collectively planning to spend approximately $674 billion on AI-related capital expenditure this year.","tags":["tech-layoffs","artificial-intelligence","capital-expenditure","workforce-reduction","ai-infrastructure","operational-efficiency","data-centres"],"key_entities":[{"name":"Samriddhi Srivastava","type":"person","confidence":0.85},{"name":"Jack Dorsey","type":"person","confidence":0.95},{"name":"Meta","type":"organization","confidence":1},{"name":"Microsoft","type":"organization","confidence":1},{"name":"Oracle","type":"organization","confidence":1},{"name":"Snap","type":"organization","confidence":0.95},{"name":"Block","type":"organization","confidence":0.95},{"name":"Alphabet","type":"organization","confidence":0.95},{"name":"Amazon","type":"organization","confidence":0.95},{"name":"Layoffs.fyi","type":"organization","confidence":0.9},{"name":"artificial intelligence","type":"technology","confidence":1},{"name":"operational efficiency","type":"concept","confidence":0.9},{"name":"revenue per employee","type":"concept","confidence":0.85},{"name":"capital expenditure","type":"concept","confidence":0.9},{"name":"cloud infrastructure","type":"technology","confidence":0.85},{"name":"semiconductors","type":"technology","confidence":0.8},{"name":"India","type":"location","confidence":0.85}],"classification":"analysis","language":"en","confidence":0.85,"provenance":{"model":"claude-opus-4-6","tool":"@stacklist/mcp-server@2.0.0","confidence":0.85,"timestamp":"2026-05-07T00:26:34.938Z"},"token_counts":{"approximate":1009,"cl100k":707},"content_hash":"sha256:1fd59e99bc9a0c54aaa3c27b23150328cfa5c4afe9e865809a16e7fba53443dd","acp_version":"0.2","body_available":true,"body_tokens":1009,"visibility":"public","agent_accessible":true,"status":"final"},"_links":{"self":"/api/public/card/76e2f0ad-e56a-47fc-95cb-b0efd93299a3.json","html":"https://stacklist.com/card/76e2f0ad-e56a-47fc-95cb-b0efd93299a3","md":"/api/public/card/76e2f0ad-e56a-47fc-95cb-b0efd93299a3.md","stack_json":"/api/public/stack/848b27f4-bed8-4734-b1d6-d0adbc0f05b5.json"}}