A year ago, you could demo an AI product and watch prospects light up at the magic of it. That window is closed.
Every potential buyer of an AI software product now has direct access to ChatGPT, Claude, or Gemini. More importantly, they have already tried using these tools to solve the exact problem you are pitching. They have built janky-but-functional workflows with general-purpose AI plus a few automation tools. They know what works and, crucially, what does not.
This changes the sales conversation entirely. You cannot lead with "AI-powered" as a feature - that is table stakes. You cannot show a demo where AI summarizes text, generates copy, or answers questions and expect anyone to reach for their wallet. They have been doing that for free.
The bar is now specific and technical. If your product claims to "run your blog on autopilot," a savvy buyer will immediately ask: How do you handle factual accuracy? What about brand voice consistency across dozens of posts? How does it source and verify claims? These are the exact problems they hit when they tried doing it themselves with ChatGPT and a Zapier workflow.
This is actually good news for builders solving hard problems. The customers who show up now understand the limitations of general-purpose AI. They are not comparing your product to "no AI" - they are comparing it to the best they could do themselves with a frontier model and some duct tape. If your tool genuinely solves the gaps they experienced, the sale gets easier, not harder.
The products struggling are the thin wrappers - tools that add a nice UI on top of an API call but do not solve the actual hard parts of the workflow. Those were viable in 2024. In 2026, with ChatGPT at 900 million weekly active users, your customer has already built the wrapper themselves.