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    Two Studies for the Price of One: the Economic/Labor Impacts of AI
    In this week's AIX Files: the integration of AI into the workplace is proceeding at an uneven but significant pace, with clear patterns emerging across sectors and skill levels. While about 30% of U.S. workers are currently using AI tools (predominantly in high-skill and high-income positions), [...]


    Two Studies for the Price of One: the Economic/Labor Impacts of AI


    In this week's AIX Files: the integration of AI into the workplace is proceeding at an uneven but significant pace, with clear patterns emerging across sectors and skill levels. While about 30% of U.S. workers are currently using AI tools (predominantly in high-skill and high-income positions), the technology is being employed across a spectrum of tasks, with nearly half concentrated in software development and writing. The impact appears to be primarily augmentative (57%) rather than purely automative (43%), suggesting AI is more commonly enhancing rather than replacing human capabilities. However, the productivity gains are substantial, with AI users reporting task completion speeds three times faster than before.

    The studies summarized and analyzed (links to the papers in the column):
    • The Labor Market Effects of Generative Artificial Intelligence
    • Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversations


    As AI’s economic role continues to evolve, shaping policies to balance productivity gains with workforce adaptation will require to be a challenge. Businesses, policymakers, and educational institutions must anticipate these transformations to foster resilience in the labor market. The summations, analysis and how the findings inter-relate should come in handy - but I encourage you to read - at least skim! - both papers, lots of interesting, even provocative info.

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