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The Monetization of AI Products: Based on Closed-Loop Business Models

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  • Wang, Peng
  • Yu, Tiantian

Abstract

In a rapidly evolving digital landscape, monetizing artificial intelligence (AI) products stands as a critical imperative. This research investigates AI commercialization strategies through the dual framework of Osterwalder's Business Model Canvas and Chesbrough's Open Business Models, examining diverse applications spanning language models, content generators, and intelligent hardware across sectors like healthcare, e-commerce, and finance. We identify key revenue mechanisms-including SaaS subscriptions, usage-based fees, and outcome-tied pricing-while highlighting how data and algorithms jointly power value creation. The analysis also confronts challenges related to ethics, privacy, and regulatory compliance. Findings reveal AI's transformative capacity to streamline supply chains, elevate user experiences, and cultivate collaborative ecosystems. These insights offer practical guidance for navigating AI commercialization complexities, underscoring that sustainable, ethical innovation is fundamental to realizing its future potential.

Suggested Citation

  • Wang, Peng & Yu, Tiantian, 2025. "The Monetization of AI Products: Based on Closed-Loop Business Models," GBP Proceedings Series, Scientific Open Access Publishing, vol. 10, pages 94-107.
    • Handle: RePEc:axf:gbppsa:v:10:y:2025:i::p:94-107
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