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The Rise of AI Pricing: Trends, Driving Forces, and Implications for Firm Performance

Author

Listed:
  • Jonathan J Adams

    (Department of Economics, University of Florida)

  • Min Fang

    (Department of Economics, University of Florida)

  • Zheng Liu

    (FRB San Francisco)

  • Yajie Wang

    (Department of Economics, University of Missouri)

Abstract

We document key stylized facts about the time-series trends and cross-sectional distributions of AI pricing and study its implications for firm performance, both on average and conditional on monetary policy shocks. We use the universe of online job posting data from Lightcast to measure the adoption of AI pricing. We infer that a firm is adopting AI pricing if it posts a job opening that requires AI-related skills and contains the keyword ``pricing''. At the aggregate level, the share of AI-pricing jobs in all pricing jobs has increased by more than tenfold since 2010. The increase in AI-pricing jobs has been broad-based, spreading to more industries than other types of AI jobs. At the firm level, larger and more productive firms are more likely to adopt AI pricing. Moreover, firms that adopted AI pricing experienced faster growth in sales, employment, assets, and markups, and their stock returns are also more sensitive to high-frequency monetary policy surprises than non-adopters. We show that these empirical observations can be rationalized by a simple model where a monopolist firm with incomplete information about the demand function invests in AI pricing to acquire information.

Suggested Citation

  • Jonathan J Adams & Min Fang & Zheng Liu & Yajie Wang, 2024. "The Rise of AI Pricing: Trends, Driving Forces, and Implications for Firm Performance," Working Papers 001015, University of Florida, Department of Economics.
    • Handle: RePEc:ufl:wpaper:001015
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    File URL: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5001236
    File Function: First version, 10-27-2024
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    Cited by:

    1. Alexandre Kohlhas & Vladimir Asriyan, 2025. "The Macroeconomics of Data: Scale, Product Choice, and Pricing in the Information Age," Economics Series Working Papers 1073, University of Oxford, Department of Economics.
    2. Vladimir Asriyan & Alexandre Kohlhas, 2025. "The macroeconomics of data: Scale, product choice, and pricing in the information age," Economics Working Papers 1904, Department of Economics and Business, Universitat Pompeu Fabra.
    3. Alexander Kohlhas & Vladimir Asriyan, 2025. "The Macroeconomics of Data: Scale, Product Choice, and Pricing in the Information Age," Working Papers 1486, Barcelona School of Economics.

    More about this item

    JEL classification:

    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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