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NBER Working Papers · October 26, 2026 · On the brief until November 9, 2026

Generative AI, Managerial Expectations, and Economic Activity -- by Manish Jha, Jialin Qian, Michael Weber, Baozhong Yang

EconomicsFinance
THE AI ANGLE
Extracting economic expectations from corporate conference call transcripts

Researchers used generative AI to measure managerial expectations from over 120,000 corporate conference call transcripts. The resulting scores forecast GDP growth, production, employment, and wages five or more quarters ahead. Economists and finance professionals gain an indicator that improves upon standard survey forecasts.

Summary written by AI Business Lens with an AI model from the article at nber.org. It is not the article, and the publisher has not reviewed it. For publishers.

THE TEACHING ANGLE
Classes can discuss why forecasting power concentrates among historically accurate, less biased managers.

Read the original at nber.org   Generate teaching or study materials

Instructors get discussion guides, assignments, and mini-cases. Students and readers get a plain summary, points to raise, an exercise, and a self-check. All built from the full article. A free account saves stories and gives you three generations. Stories stay on the brief for 14 days. After that this page keeps the link to the original.

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