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Gartner predicts 40%+ agentic AI projects will be cancelled by 2027

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Industry analyst forecast relevant to AI deployment risk and governance; useful for understanding real-world barriers to agentic AI scaling and the gap between hype and safe, value-driven deployment practices.

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Importance: 42/100press releasenews

Summary

Gartner forecasts that over 40% of agentic AI projects will be canceled by 2027 due to escalating costs, unclear business value, and inadequate risk controls. The report highlights widespread 'agent washing' by vendors and warns that most current agentic AI deployments are hype-driven experiments lacking genuine autonomy or ROI. Despite near-term failures, Gartner predicts significant long-term adoption, with 15% of daily work decisions made autonomously by 2028.

Key Points

  • Over 40% of agentic AI projects expected to be canceled by 2027 due to cost overruns, poor ROI, and insufficient risk controls.
  • Widespread 'agent washing' inflates the market—Gartner estimates only ~130 of thousands of agentic AI vendors offer genuine agentic capabilities.
  • Most current agentic AI use cases don't actually require agentic implementations; simpler automation or assistants often suffice.
  • Gartner predicts 15% of day-to-day work decisions will be made autonomously by 2028, up from 0% in 2024.
  • Recommendation: pursue agentic AI only where clear value exists; rethink workflows from scratch rather than bolting agents onto legacy systems.

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Gartner Predicts Over 40% of Agentic AI Projects Will Be Canceled by End of 2027
 
 
 
 
 
 
 
 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

 
 

 
 

 

 

 

 

 

 
 

 
 

 
 

 
 
 
 

 

 

 

 

 

 

 
 
 
 
 
 
 

 

 

 

 
 
 
 
 

 

 

 

 
 
 

 

 
 

 
 
 

 
 
 

 
 
 
 
 
 

 
 
 

 
 
 
 

 

 
 
 
 

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The Wayback Machine - https://web.archive.org/web/20260408190227/https://www.gartner.com/en/newsroom/press-releases/2025-06-25-gartner-predicts-over-40-percent-of-agentic-ai-projects-will-be-canceled-by-end-of-2027

 

 

 

 

 
 
 
 
 
 
 
 
 
 

 

 
 
 

 
 
 
 
 

 
 

 

 
 
 

 

 

 

 
 
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