The CFO asked a question no one could answer.

The CFO asked the question nobody in the room could answer:
"Why are we still paying for AI if we aren't seeing a return?"
That moment is happening everywhere right now.

When the economy gets uncertain, leaders review every line item with a new level of skepticism. AI licensing, which once sounded like a smart bet on the future, now looks expensive.

Most organizations did not fail to buy AI. They failed to connect it to the work people are actually responsible for. Cutting AI is the wrong reflex.

If the tool is sitting there unused, the answer is not to declare it a sunk cost and move on. The answer is to reduce risk by aiming it at real business problems, real workflows, and real KPIs. That is what turns AI from overhead into leverage.

There's a shift that happens when leaders stop asking, “How do we justify this license?” and start asking, “What work is this supposed to improve?”

That is when AI starts helping teams move faster, make better decisions, and create measurable value in the exact places leadership is watching most closely.

So yes, AI can be a sunk cost.
Or it can be a business investment.

The difference is not the tool itself. It is whether your workforce knows how to apply it to the business problems that matter.

Can you justify your AI spend? If not, let's talk.