Why 95% of AI Deployments Fail

About this episode

This episode discusses the high failure rate of AI deployments in enterprises and the factors contributing to this trend.

Send us Fan Mail MIT's August 2025 study of 300 enterprise generative AI deployments found that 95% produced no measurable P&L impact. Gartner forecasts that more than 40% of agentic AI projects will be cancelled by 2027. McKinsey's State of AI 2025 identifies workflow redesign as the single strongest correlate with EBIT impact, yet only 21% of organisations have redesigned any workflows. The data converges on a structural conclusion: enterprise AI is failing because the operational subst...

People in this episode

Host: David Such

Topics covered

• AI deployment failure
• enterprise AI
• workflow redesign
• P&L impact
• agentic AI projects
• EBIT impact

Keywords

• AI deployments
• enterprise
• P&L impact
• workflow redesign
• Gartner
• McKinsey
• EBIT

Mentioned in this episode

Organizations: MIT, Gartner, McKinsey

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