Most AI Work Looks Good Until You Try To Use It

InnovationMost AI Work Looks Good Until You Try To Use ItByUnni Nambiar,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)Jun 08, 2026, 07:15am EDTUnni Nambiar, CTO – Aeries Technology, drives AI and innovation through Global Capability Centers for PE-backed firms. getty​If you want to know whether a company is getting real value from AI, stop reading their press releases. Look at what is running in production, because that is where most of this falls apart.A lot of AI work looks impressive in demos, sounds compelling in presentations and creates genuine internal momentum. But when you plug it into real operations, it breaks, stalls or gets abandoned before anyone officially calls it a failure.MIT's NANDA Initiative found in 2025 that nearly 95% of enterprise generative AI pilots deliver little to no measurable P&L impact. ISG's State of Enterprise AI Adoption found that only 31% of prioritized AI use cases have reached full production. These numbers describe the dominant outcome, not the exception.Why Pilots Die Before They Reach Your Operations TeamThere is a pattern that shows up consistently enough to be called structural. Teams build pilots that work in controlled environments, show strong results on curated datasets and produce a story that holds together in a presentation. And then nothing happens. The model never gets embedded into a live workflow, or it gets deployed in a limited way and slowly stops being used. Check back 12 months later, and the organization is still "exploring AI."There is a more intentional version of this, too. Companies announce AI programs before the foundations are ready because it creates visibility and reassures stakeholders. But underneath, the fundamentals are missing. Data is fragmented, processes are loosely defined and ownership sits with the small group that...