Anthropic · Fortune Technology
Anthropic's research finds that AI can already do a major portion of many jobs; its top economist talks about how that could
Compiled by KHAO Editorial — aggregated from 1 outlet. See llms.txt for citation guidance.
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The rapid development of generative AI has gone hand-in-hand with growing anxiety about what the technology might do to the world’s white-collar labor force.
Key facts
- The reporter thinks that’s somewhat surprising, because overall roughly three to four in 10 conversations on claude.ai are coding related
- Matt Heimer, Fortune: One thing that the reporter found fascinating is the framing around AI “exposure”—the idea that the extent of a profession’s exposure to AI depends on the job tasks inherent
- The reporter was looking at some micro data in the CPS [the Current Population Survey, a federal database of labor force statistics], sort of studying a related question of AI exposure and sensitivity
- The rapid development of generative AI has gone hand-in-hand with growing anxiety about what the technology might do to the world’s white-collar labor force
Summary
The report, “ Labor market impacts of AI: A new measure and early evidence,” was based on real-life enterprise usage of Anthropic’s popular Claude large-language model. For a wide range of previously secure and well-paying white-collar occupations, including computer programming, market research, and financial management, the theoretical exposure is high—and perhaps inevitably, the report stoked worries about a white-collar recession. But to mangle a medical metaphor, exposure to AI is by no means fatal. Matt Heimer, Fortune: One thing that the reporter found fascinating is the framing around AI “exposure”—the idea that the extent of a profession’s exposure to AI depends on the job tasks inherent to that profession.