Artificial Intelligence is everywhere, yet measurable impact remains rare.
According to the MIT, 95% of AI projects fail before delivering any return on investment.
The reason? A gap between experimentation and execution.
In this new article, Terranoha explores why most AI initiatives struggle to create value and what defines the 5% that succeed.
A deep dive into the maturity of AI adoption, the limits of proof-of-concept thinking, and the operational approach that turns automation into real ROI.
👉 Read the full article on LinkedIn: AI in the Real World – Why 95% of Projects Still Fail to Deliver Value
