Why enterprise AI projects fail without modern infrastructure foundations
By Founder & CEO, Sanjay Sehgal, Aziro
Enterprise AI projects rarely fail loudly. There is no announcement and no moment of reckoning. The project simply stops appearing on the roadmap until a slide is quietly updated to read “on hold, pending prioritisation”. Every executive in the room understands what that phrasing conceals, because most have watched the sequence unfold before: the confident kickoff, the promising demo, and then the long silence that no one is asked to explain.
The Pilot-to-Production Gap
The scale of this pattern is no longer anecdotal. An MIT study found that 95 per cent of enterprise generative AI pilots fail to deliver demonstrable ROI. In addition, S&P Global Market Intelligence found the trend accelerating, not easing, 42 per cent of companies abandoned most of their AI initiatives in 2025, with the average organisation scrapping 46 per cent of its proof-of-concepts before they ever reached production.
The...
Copyright of this story solely belongs to expresscomputer.in. To see the full text click HERE
