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“AI sentiment is cooling.” Expectations ran way ahead of what the tools can do right now, and they’re correcting. That happens with every big technology cycle. New World Economic Forum data shows most industries have stopped expecting instant productivity gains from AI. Changing how a company runs takes far longer than dropping in a chatbot. The projects that work have two things going for them: a clear use case and real integration into a product or a workflow. AI bolted on as a feature, or run as a side demo, stalls out. AI wired into how the work already happens is where you see returns. Cost is the other piece nobody has nailed down. Most enterprises still can’t tell you what these systems cost to run at scale once you add up compute, tokens, integration, and the headcount to keep them alive. The ROI looks a lot fuzzier than the early decks suggested. We’ve been here before. The internet took decades to reshape business. Cloud took years to become the default. The hype always gets out ahead, then the slow operational work catches up. So sentiment cooling isn’t a red flag. It’s the part of the curve where the demos stop and the real work starts. Adoption is one part. A clear use case, real integration, and a cost model that holds up are. And none of that cares how anyone felt about AI six months ago.