Eliminating The Dangerous Enterprise AI Blind Spot

InnovationEliminating The Dangerous Enterprise AI Blind SpotByArti Raman,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)May 29, 2026, 10:30am EDTArti Raman is the founder and CEO of Portal26. She is an expert on managing and mitigating risk for enterprise GenAI and data. getty​The Gartner Hype Cycle has become famous in IT circles for helping to contextualize where technologies sit on a five-stage journey from inception to mainstream adoption.At the nascent end of this spectrum are those classified as “Innovation Triggers,” with last September’s Emerging Tech analysis listing technologies with a distinct sci-fi edge, including AGI, bidirectional brain-machine interfaces and humanoid working robots, among many others. This is bleeding edge innovation in the purest sense, but not anything you will see deployed anytime soon. Any technology surviving beyond this point has gained enough momentum (often unwarranted, it has to be said) to reach the “Peak of Inflated Expectations,” where success stories drown out failures and tunnel-vision optimism drives investment. At present, this is where Gartner places AI agents.Stuck In A RutArguably, the most interesting and pivotal stage in the process is the one Gartner says GenAI has now reached: stage three, the “Trough of Disillusionment.” This is where expectations are assessed against real-world outcomes, and potential should be giving way to impact.In the case of GenAI, it’s easy to see why the hype train has picked up so much speed. But extreme success also brings risks: Its adoption has been both top-down and bottom-up, and, in many cases, has been driven by the prospect of short-term wins and FOMO rather than by tried-and-tested design and implementation processes. For enterprises where technology doctrine is driven by caution and control, this goes completely against the grai...