I have now read through the very impressive paper on AI tasks to have come out of Anthropic, with Kunal Handa as the lead author, including Dario, Jack, and quite a few others as well. Here is part of the abstract:
We leverage a recent privacy-preserving system [Tamkin et al., 2024] to analyze over four million Claude.ai conversations through the lens of tasks and occupations in the U.S. Department of Labor’s O*NET Database. Our analysis reveals that AI usage primarily concentrates in software development and writing tasks, which together account for nearly half of all total usage. However, usage of AI extends more broadly across the economy, with ∼ 36% of occupations using AI for at least a quarter of their associated tasks. We also analyze how AI is being used for tasks, finding 57% of usage suggests augmentation of human capabilities (e.g., learning or iterating on an output) while 43% suggests automation (e.g., fulfilling a request with minimal human involvement).
There is also a new paper on related topics by Jonathan Hartley, Filip Jolevski [former doctoral student of mine], Vitor Melo, and Brendan Moore:
We find, consistent with other surveys that Generative AI tools like large language models (LLMs) are most commonly used in the labor force by younger individuals, more highly educated individuals, higher income individuals, and those in particular industries such as customer service, marketing and information technology. Overall, we find that as of December 2024, 30.1% of survey respondents above 18 have used Generative AI at work since Generative AI tools became public.
Both recommended, the latter supported in part by Emergent Ventures as well.
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