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Chronicles

The story behind the story

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Anthropic debuts an early-warning system for potential AI-driven destruction of white-collar jobs and says it shows “limited evidence” of AI-led job loss so far

- An occupation's specific tasks;  — An estimate of which of those tasks can be performed by large language models.

Axios Courtenay Brown

Discussion

  • @kevinroose Kevin Roose on x
    new labor market mnemonic: job's in the red, it's dead job's in the blue, join a construction crew
  • @somnath1978 Somnath Mukherjee on x
    Shd juxtapose the chart agnst economic value generated by each area. Social Sciences, eg, has close to zero EV - even if AI fails to do much dent there, not as if 10k more Political Science grads will add anythng to mankind...
  • @jackclarksf Jack Clark on x
    We are still so, so early.
  • @tanayj Tanay Jaipuria on x
    Nice chart from Anthropic's study on impact of AI on labor markets. Blue shows theoretical capability of AI (% of tasks) in a job function and red shows observed usage. Primarily being adopted in SWE, math, legal, Sales, business/finance work so far but nowhere to the extent [ima…
  • @simonkhalaf Simon Khalaf on x
    well @WorkWhileAI jobs are all in the white space, but we are also growing the circle
  • @leggettmatt Matt Leggett on x
    Asked Claude to take the BLS data and calculate how much salary is spent per section. So basically Anthropic thinks 1/2 of all salary spend in the US is automatable ($4.9T). It's also a nice articulation of Amdahl's Law where theoretically we've _already_ automated $1.39T of [ima…
  • @lisaabramowicz1 Lisa Abramowicz on x
    Anthropic did a study on job displacement due to AI. “Workers in the most exposed professions are more likely to be older, female, more educated, & higher-paid. We find no systematic increase in unemployment for highly exposed workers since late 2022” https://cdn.sanity.io/...
  • @casilli @casilli on bluesky
    Anthropic new report on AI's labor impact.  Their own data show no measurable increase in unemployment.  Also, they admit their framework is “most useful when effects are ambiguous.”  Ambiguity, like fear, is a tool for preempting labor organizing.  —  www.anthropic.com/research/…