What 'AI-Powered' Actually Means (and Doesn't)

Overnight, every product became "AI-powered." It's now a marketing reflex, not a meaningful claim — bolted onto everything from serious platforms to features that are barely AI at all. As the person deciding where budget goes, your first skill is seeing through the label.

Questions that cut through the hype instantly:

• "What specifically does the AI do here?" Push past "leverages AI" to the concrete function. "It drafts email replies from the ticket history" is real. "AI-enhanced synergy" is noise.
• "What problem does this solve for us — in our words?" If the vendor can only describe the value in their terms, not yours, it may not fit your actual workflow.
• "Is the AI core to the value, or a sticker?" Some tools are genuinely built around AI; others slapped a chatbot on an old product to ride the trend. You're paying very different prices for very different things.
• "What happens when the AI is wrong?" Every AI tool errs. A serious vendor has a real answer about accuracy, human review, and failure handling. A hand-wave here is a red flag.

Beware the demo. Vendor demos are polished, cherry-picked, and run on ideal data. Impressive in the demo, disappointing in production, is the oldest story in enterprise software — and AI makes it worse, because AI looks magical in a controlled setting and gets messy with real, varied inputs. Never buy on the demo alone.

Your north star: you're not buying "AI." You're buying a solution to a specific business problem that happens to use AI. Keep the problem in front and the technology becomes just one factor — exactly where it belongs.

▶️ Apply it

Take one AI tool a vendor is currently pitching you (or one you're considering) and answer the four cut-through questions. If you can't get specific, concrete answers, that's your signal to dig deeper before spending — the questions do the filtering for you.