LIVE TRACKER — 131.6k+ roles eliminated across major tech companies since AI went mainstream
Since AI went mainstream, the companies below have collectively eliminated over 131.6k roles — citing AI automation, efficiency programmes, and workforce restructuring. If you work at one of them, build your safety net now.
131.6k+
Roles eliminated
20
Companies tracked
67%
Cite AI as driver
7.2
Avg. months to rehire
In the headlines
IBM to Pause Hiring in Roles That AI Could Fill
IBM's CEO said roughly 7,800 jobs could be replaced by AI in the coming years, and the company would stop hiring for those back-office functions.
Duolingo Lays Off Contractors, Says AI Can Do Their Work
Duolingo cut around 10% of its contractor workforce, with leadership explicitly citing AI automation as the reason for eliminating the roles.
Klarna's AI Chatbot Now Does the Work of 700 Employees
Klarna's CEO confirmed their AI assistant handles two-thirds of all customer service chats, equivalent to 700 full-time workers, cutting average resolution time from 11 minutes to 2.
Dropbox Lays Off 500 as CEO Cites Need for AI Talent
Dropbox cut 16% of its global workforce, with CEO Drew Houston stating the company needed to invest in AI and that growth was constrained by the current team's capabilities.
BT to Cut Up to 55,000 Jobs — a Fifth Replaced by AI
BT Group announced plans to reduce its workforce by up to 55,000 by 2030, with CEO Philip Jansen stating AI and digital tools would handle work previously done by humans.
Salesforce Won't Hire More Software Engineers in 2025
Salesforce CEO Marc Benioff said AI agents have made his company so productive that hiring software engineers is off the table — a signal that AI is replacing entire hiring cycles.
Research & reports
The Claude Economic Index: Measuring AI's Impact on the Economy
Anthropic's analysis of Claude usage patterns shows AI is already being used to automate knowledge work across software, writing, data analysis, and financial services.
GPTs are GPTs: Labor Market Impact of Large Language Models
Landmark study finding that around 80% of the US workforce could have at least 10% of their tasks affected by LLMs, with 19% of workers seeing at least 50% of tasks impacted.
Generative AI Could Expose 300 Million Jobs to Automation
Goldman Sachs estimates generative AI could automate 25–50% of current work tasks, potentially displacing 300 million full-time jobs globally while adding 7% to global GDP.
The Economic Potential of Generative AI
McKinsey finds generative AI could automate work activities that currently take up 60–70% of employee time, with the highest exposure in knowledge-intensive roles.
Future of Jobs Report: 14 Million Net Jobs Displaced by 2027
The WEF projects a net displacement of 14 million jobs over five years as AI, automation, and economic pressures converge — with clerical and administrative roles hit hardest.
47% of US Jobs Are at High Risk of Computerisation
The foundational Frey-Osborne study — still widely cited — classified 47% of US occupations as at high risk of automation, disproportionately impacting lower-wage routine work.
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