Three reports. The same gap.

Three AI reports came out this spring. They all describe the same gap.

I've been going through the recent research on why corporate AI keeps underdelivering. Three reports, three different sets of authors, and they all land in roughly the same place.

Start with the number. WEF and Accenture found that only 32% of organizations report tangible business impact from AI. Adoption isn't the issue. HBR found that 88% of companies now use AI regularly. So usage is nearly everywhere and impact is rare.

The capability overhang

The World Economic Forum has a name for it now. They call it the capability overhang — the distance between what AI can already do and what companies actually use it for. The models moved fast. The companies didn't.

So why does it stall? HBR's answer isn't a technical one. They found that people try the tools but never really fold them into how the work gets done. It stays surface level.

Frontstage compliance, backstage resistance

WEF takes it a step further. Inside most companies there are two stories running at once. Leadership says this changes everything. The workforce quietly dreads it. WEF describes the result as frontstage compliance and backstage resistance — where people nod in the meeting and then work around the tool the rest of the day.

Put the three together and the pattern is plain enough. Every one of them is a story about deployment, not capability. The question was never whether the AI is good enough. It's whether the business around it is built for the AI to matter. Whether everyone's clear on what you're actually solving, whether one person owns the outcome, whether you can follow a dollar of spend to a result.

That last one is the quiet one, and it's usually the first thing skipped on the way to buying the next tool. Which is more or less what all three reports spent their pages documenting.

So if your AI is everywhere but the impact is nowhere, which of those gaps is yours?