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Why AI Pilots Fail At Scale—And What Tech Leaders Can Do Differently

تكنولوجيا
Forbes
2026/05/08 - 13:45 505 مشاهدة
InnovationWhy AI Pilots Fail At Scale—And What Tech Leaders Can Do DifferentlyByAri Stowe,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 08, 2026, 09:45am EDTAri Stowe is Chief Operating Officer at Resolve, where he focuses on product strategy, IT orchestration and transformative outcomes. gettyEveryone remembers how quickly generative AI swept the enterprise. There were tons of stylized selfies, yes, but there were also ambitious proofs of concept multiplied across departments. AI’s speed and momentum felt like incredible progress. However, as many tech leaders are now discovering, what worked in a pilot environment struggles when exposed to production reality. Models that performed amazingly in a contained use case often showed friction at scale. In fact, two-thirds of enterprise leaders surveyed by McKinsey last year said they haven't started scaling AI across their organization. Meanwhile, cost and governance questions ballooned in the background. For instance, according to a recent survey from Benchmarkit, "about 85% of organizations misestimate AI costs by more than 10%, and nearly a quarter are off by 50% or more." Security teams start asking around soon after, and all of a sudden, what felt like unstoppable innovation was unmasked as something less flattering: fragmentation. The technology isn’t the problem, though. It’s the scaling and operating model around it. Why AI Pilots Flourish So Easily AI pilots succeed for the same reason that startups move quickly: limited scope and limited constraints. A small team identifies a clear use case and builds a light-touch experiment around it. Data access and risk are tightly controlled, while metrics are often considered qualitative instead of operational. AI looks extremely transformative in this environment. In many cases, it actually is. But the tr...
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