Everyone says AI “creates value.” Coming from the OpEx side of my career, I hold that claim to one test: does it show up in a KPI or the P&L? Because AI isn’t free — licensing, tokens, training are real cost. If the tool just reproduces the “What” — a faster chart, another analysis — you didn’t create value. You bought a more expensive way to make the same report.
Name which kind of value, or it isn’t value.
There are four. Hard — a KPI or EBITDA moves. Capacity — time or ability you free and redeploy (a 3-hour report becomes 15 minutes, and you spend the time on higher work). Capability — something you couldn’t do at all before. Decision — a better or earlier call; a failure avoided. If you can’t name one, you added cost, not value.
None of it lands without trust.
People don’t act on data they don’t trust, and value only exists in the action. So the real chain is: data integrity → trust → action → value. Skip the first link and the rest never happens.
AI creates potential. You capture value only when you convert it.
Freed capacity you never redeploy is just slack. The new capability nobody uses is a demo. The decision you don’t make is a report. Convert it, or it isn’t real.
So what, now what.
So what: “it creates value” is not a claim until you name which of the four. Now what: take your current AI initiative and say the value category out loud. If you can’t, you have a cost — go fix that before you scale it.
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