Tech executives are misrepresenting the true state of enterprise AI adoption, according to the article. The current narrative of "valuemaxxing"—shifting from experimentation to disciplined ROI tracking—is actually the first phase of a structural retreat from over-hyped software investments. Demand is hitting a hard wall of infrastructure limits, soaring operational costs, and the reality that text-generation tools do not fix broken business processes. The contrarian truth is that enterprises realize they overpaid for a technology they cannot monetize, and the pivot to "value" is an attempt to justify sunk costs. Companies are burning through initial cloud credits, looking at token consumption invoices, and quietly panicking. The cost-to-benefit curve plateaus brutally: for 80% of business use cases, a 70% accurate model costing millions annually is a net-negative asset. "Unlimited demand" is shrinking to a handful of specific, high-margin workloads. The article notes that most enterprise data environments are not sound, contradicting the assumption underlying "valuemaxxing."