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  • November–December 2023
  • Article
  • Harvard Business Review

Keep Your AI Projects on Track

By: Iavor Bojinov
  • Format:Print
  • | Pages:7
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Abstract

AI—and especially its newest star, generative AI—is today a central theme in corporate boardrooms, leadership discussions, and casual exchanges among employees eager to supercharge their productivity. Sadly, beneath the aspirational headlines and tantalizing potential lies a sobering reality: Most AI projects fail. Some estimates place the failure rate as high as 80%—almost double the rate of corporate IT project failures from a decade ago. Approaches exist, however, to increase the odds of success. Companies can greatly reduce their risk of failure by carefully navigating five critical steps that every AI project traverses on its way to becoming a product: selection, development, evaluation, adoption, and management.

Keywords

Generative Models; AI and Machine Learning; Success; Failure; Product Development; Technology Adoption

Citation

Bojinov, Iavor. "Keep Your AI Projects on Track." Harvard Business Review 101, no. 6 (November–December 2023): 53–59.
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About The Author

Iavor I. Bojinov

Technology and Operations Management
→More Publications

More from the Author

    • April 2025 (Revised April 2025)
    • Faculty Research

    JPMorganChase: Leadership in the Age of GenAI

    By: Iavor I. Bojinov, Karim R. Lakhani and David Lane
    • March 2025
    • Faculty Research

    Building an AI Factory at Procter & Gamble

    By: Iavor I Bojinov, Karim R. Lakhani and Alexis Lefort
    • February 2025
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    Building a Generative AI-Powered MBA Course Scheduler

    By: Iavor Bojinov and Annika Hildebrandt
More from the Author
  • JPMorganChase: Leadership in the Age of GenAI By: Iavor I. Bojinov, Karim R. Lakhani and David Lane
  • Building an AI Factory at Procter & Gamble By: Iavor I Bojinov, Karim R. Lakhani and Alexis Lefort
  • Building a Generative AI-Powered MBA Course Scheduler By: Iavor Bojinov and Annika Hildebrandt
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