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AI yet to trigger job losses but early signs of slower hiring for younger workers: Anthropic study

Anthropic’s new metric reveals AI currently automates up to 75% of tasks in some jobs but shows no widespread job losses; hiring has slowed 14% for younger workers in exposed roles.

  • Updated on March 6, 2026, Anthropic, maker of the Claude chatbot, launched an early-warning system tracking which U.S. jobs face AI exposure, finding many white-collar roles near the front lines.
  • Using three data sources, the study combines O*NET occupational task descriptions, task-level large language model capability estimates and real-world AI usage datasets to inform researchers and policymakers.
  • Ranking occupations, Anthropic found computer programmers lead at 75% exposed, with customer service representatives at 70%, data-entry keyers at 67%, and market research analysts, sales representatives, and financial analysts also highly exposed.
  • Researchers find that hiring among younger workers into exposed occupations has fallen by roughly half a percentage point, with a job-finding rate decline of about 14% versus 2022, yet labour-market unemployment indicators do not yet show broad disruption.
  • Using BLS forecasts for 2024–2034, the analysis shows the highly exposed worker group earns about 47% more and includes more workers with graduate degrees, though occupations with higher exposure tend to have slightly weaker projected growth.
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Lean Right

Amid the rapidly growing influence of AI technology, the question continues to arise: will it completely eliminate jobs in the future? A new report by AI company Anthropic has revealed several findings.

Lean Left

There is a new list of 10 jobs that are more exposed to artificial intelligence, according to Anthropic, and explains which jobs would change faster

CBS NewsCBS News
+2 Reposted by 2 other sources
Center

Anthropic is tracking which jobs are most exposed to AI. These 10 professions top the list.

The maker of the Claude chatbot says its research could help identify economic disruptions by measuring how AI is currently reshaping work.

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Crypto Briefing broke the news in on Thursday, March 5, 2026.
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