We create a firm-level ChatGPT investment score, based on conference calls, that measures managers’ anticipated changes in capital expenditures. We validate the score with interpretable textual content and its strong correlation with CFO survey responses. The investment score predicts future capital expenditure for up to nine quarters, controlling for Tobin’s q and other determinants, implying the investment score provides incremental information about firms’ future investment opportunities. The investment score also separately forecasts future total, intangible, and R&D investments. High-investment-score firms experience significant negative future abnormal returns. We demonstrate ChatGPT’s applicability to measure other policies, such as dividends and employment.

More on this topic

BFI Working Paper·Aug 25, 2026

When the Middle Class Undermines Progress: The Political Economy of AI Regulation

Anna Denisenko and Konstantin Sonin
Topics: Technology & Innovation
BFI Working Paper·Jul 15, 2026

Assessing the Benefits of Optimized Agentic AI Systems for Asset Pricing

Ralph Koijen and Bradford Levy
Topics: Technology & Innovation
BFI Working Paper·Jun 23, 2026

Can Online Activity Be Regulated? Evidence from Adult Websites

Matthew Brown, Emily J. Davis, and Devin Pope
Topics: Technology & Innovation