Why Do 95% of AI Initiatives Fail?

Why do 95% of AI initiatives fail?

Many organisations dip their toes into AI by trialling new tools without capitalising on the benefits or transferable lessons

Seven Independent Studies Confirm AI Agents Fail 70–95% of the Time. A New Book by VectorCertain’s CEO Shows Why—and What To Do About It.

“The AI Agent Crisis” draws on Carnegie Mellon, MIT, and RAND research to present the first comprehensive framework for enterprise AI agent success—while VectorCertain’s forthcoming SecureAgent platform prepares to deliver the production-grade answer.

Research Confirms Widespread AI Agent Failures, New Book Offers Implementation Framework

Recent research from leading institutions confirms a pervasive crisis in AI agent deployments, with failure rates ranging from 70% to 95% across enterprise environments. Carnegie Mellon University’s TheAgentCompany benchmark found that the best AI agent models complete just 30.3% of real-world office tasks, while MIT research indicates 95% of enterprise AI pilots deliver zero measurable financial return. These findings are synthesized in Joseph …