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Join us virtually this Wednesday at 6 pm to continue our monthly Paper Review series! We will walk through a recent paper from Microsoft titled “Working with AI: Measuring the Occupational Implications of Generative AI”. This paper uses Microsoft’s unique position to analyze 200,000 anonymized conversations with Microsoft Bing Copilot (now Microsoft Copilot) from U.S. users in 2024.
The basic premise of the paper is to evaluate how much Generative AI use overlaps with different occupations.
More specifically, we will look at:
- Dual Role Analysis: User Goals vs. AI Actions
The paper distinguishes between the tasks users want AI to help with and what the AI actually does, enabling a nuanced view of augmentation versus automation.
- AI Applicability Score Framework
By integrating coverage, success, and scope metrics into an applicability score, the study provides a quantitative, occupation-level measure of AI relevance that aligns well with theoretical models.
- Socioeconomic Insights & Cautions on Impact Interpretation
The correlation with predicted models, modest wage/education effects, and the historical perspective on economic consequences underscore both the promise and the uncertainty of AI’s real-world occupational effects.
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