AI Projects Fail for Predictable Reasons—PMP Holders Prevent Them (And Get Promoted for It)
Quick Answer AI projects most often fail after proof-of-concept because value is unclear, data is weak, risk controls are late, costs rise, and adoption is neglected—exactly the factors Gartner highlights in its prediction that at least 30% of GenAI projects will be abandoned after PoC by end of 2025. PMP holders prevent these failures by […]