The First Wave of Enterprise AI: What Went Wrong and Why
CXOTalk, Wednesday, July 8th, 2026
CXOTalk examines why the first wave of enterprise AI largely failed and how to fix it.
This CXOTalk article (page returned a 403, so details are recovered from search) examines why the first wave of enterprise AI stumbled, echoing themes from the show's enterprise-AI failure discussions.
Key issues include poor use-case selection based purely on business value rather than likelihood of production success, hype outpacing appropriate solutions, and weak data, strategy, and execution. Layering AI on top of existing processes without redesign quickly creates a mess, and rushing in without data readiness, governance, or employee involvement leads to costly failures.
The piece emphasizes clean connected data, realistic goals, and preserved human involvement as paths to measurable gains.