Why AI Agents Fail In Production And What The Execution Gap Means

Forbes Councils member Asen Lei reports that AI agents fail in production primarily due to an execution gap, where models know what to do but systems cannot reliably execute tasks. The article highlights that this gap, rather than model intelligence, is the main obstacle for agentic AI projects.

Why AI Agents Fail In Production And What The Execution Gap Means By Asen Lei, Forbes Councils MemberSource: Forbes Innovation https://www.forbes.com/innovation/ What actually stalls agentic AI /glossary/agentic-ai projects is that even when the model knows what to do, the system can't reliably do it.Get AI news in your inbox Daily digest of what matters in AI.