Anthropic's latest study introduces "Observed Exposure," a groundbreaking metric blending LLM capabilities with real-world usage data to assess AI's labor market effects. Unlike past automation waves, it reveals AI targeting older, female, educated, higher-paid workers in fields like programming and customer service. Crucially, no mass unemployment has hit since ChatGPT's 2022 launch, but early signals show slowed hiring for young entrants. Theoretical AI potential vastly outpaces deployment—94% feasible in computer/math jobs, yet only 33% observed. Exposed occupations face slightly slower BLS-projected growth (0.6% drop per 10% exposure rise). This framework cuts through hype, grounding predictions in actual professional use via Anthropic's Economic Index. As AI advances, this baseline enables tracking true disruption from noise. No white-collar recession yet, but entry-level roles may evolve first—vital reading for policymakers, execs, and workers.
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