"It's the point at which CFOs are done writing blank checks for AI innovation that can't be tied to actual business results. We're already seeing enterprises start to pump the brakes on a significant percentage of their planned AI spending because leadership finally asked the obvious question: what are we actually getting for this?' and most teams have no good answer from a year of PoCs that never made it into production, said Vawdrey."
"The handful of use cases that actually move numbers will survive. Revenue up, costs down, cycle time reduced real KPIs that matter. Everything else gets killed. No more pilot purgatory, no more let's experiment and see' and no more demos that wow executives but never ship. If you can't show business impact in three to six months, you're done. The companies winning in late 2026 are the ones who got religious about measurement early and weren't afraid to kill their darlings."
AI adoption is entering a maturation phase marked by operational, ethical and infrastructure challenges such as shadow AI, GPU hoarding, overprovisioning, hallucinations, bias, energy costs, compliance and IoT edge compute demands. A widening span between very large and very small language models is reshaping deployment choices. By 2026, executive accountability will force tighter alignment between AI investment and measurable business outcomes. Enterprises are pausing or canceling significant AI spend after a year of PoCs that failed to reach production. Only use cases that demonstrably increase revenue, reduce costs or shorten cycle times will survive. Rapid measurable impact within three to six months will become a survival criterion.
Read at www.techzine.eu
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