The AI Vendor Market Will Punish Vague Promises

The first AI buying wave rewarded novelty. If a product could summarize, draft, classify, chat, or generate, it earned attention. That phase is ending. Buyers have seen enough demos to know that capability does not equal deployment and deployment does not equal value.

The next buying cycle will be harder. Vendors will need to explain the workflow they improve, the baseline they replace, the integration burden they create, the controls they support, and the economic mechanism behind the ROI claim. Broad promises will lose to narrower systems that can prove movement.

This will be uncomfortable for vendors that wrapped existing products in AI language without changing the customer's operating model. It will benefit vendors that understand the messy middle: permissions, review, exception handling, change management, and measurement.

Buyers should become more demanding. Ask for reference workflows, not generic case studies. Ask what behavior must change for value to appear. Ask how failures are logged. Ask which roles are redesigned. Ask what the product stops the organization from doing manually.

The market is not becoming less interested in AI. It is becoming less patient with AI theater. That is a healthy correction.