1,550 AI decision-makers. That’s who Publicis Sapient asked in its 2026 Global Enterprise AI Report, fielded April 29 through May 14 across the US, UK, France, Germany, Australia and the UAE. Every respondent works at a company with at least 500 employees and $100 million in revenue, and every one of them is personally responsible for evaluating or selecting enterprise AI technology. These arent junior analysts guessing. Theyre the people signing off on the budget.

In the US specifically, 71% of these decision-makers expect significant progress scaling AI over the next 12 to 24 months. Ask the same group a second question, are you fully equipped today to actually do that, and the number collapses to 20%.

Fifty-one points. Thats not a rounding error or a survey quirk. Thats the entire executive class of American enterprise admitting, in the same breath, that they expect to win a race they know they arent equipped to run.

The confidence to launch and the infrastructure to sustain it rarely arrive on the same timeline.

The gap isnt about ambition. Its about what ambition is standing on.

Look at the rest of the report and the gap stops looking like a fluke. 73% of respondents say AI is used regularly or across most business processes at their company. Only 10% say its actually core to how the operation runs. 38% say it fundamentally changes how the business operates. Everyone adopted the tool. Almost nobody redesigned the org around it.

Publicis Sapient CEO Nigel Vaz put it plainly: “The enterprise was not designed for the speed, scale and autonomy that AI makes possible. The winners will redesign how work gets done.” Thats the real finding buried under the headline stat. Companies didnt fail to buy AI. They failed to change the org chart, the approval chain, and the data plumbing underneath it.

42% of respondents say it outright: AI is capable, their organization just cant capture the value. Not a model problem. Not a vendor problem. A them problem.

Whats missing in the 51 points: governance, data, and change management, not more pilots

22% of respondents name organizational operations, not technology, as the primary barrier to getting value from AI. In the US, 34% specifically cite organizational design as the constraint holding scaling back. In France, 51% point to internal data quality and access as the blocker. Different countries, same root problem, the plumbing underneath the AI layer was never rebuilt.

“73% say AI is used regularly across the business. Only 10% say its core to operations. The gap between using a tool and rebuilding around it is where most companies are quietly stuck.”

This is exactly the kind of gap most internal audits miss, because a pilot dashboard and a maturity slide deck both look like progress. Diagnosing where the real gap sits, governance ownership, data lineage, decision rights, change capacity, is exactly what an AI Assessment for companies is built to surface.

The UK is the closest thing to a counterexample here. 51% of UK respondents report AI is fundamentally changing their business, and 60% say its highly or fully embedded, the strongest numbers in the whole survey. The UAE tells a different story: 60% report coordinated delivery, but only 5% say AI is fully integrated enterprise-wide. Coordination without integration is still a gap, just a quieter one.

Governance, data infrastructure, and change management are the connections that dont show up on a pilot dashboard.

More pilots wont close this. A different org will.

Every one of these companies already has an AI pilot. Most have several. Thats not the gap Publicis Sapient found. The gap is between an organization that expects to scale AI and one thats actually rebuilt its data infrastructure, governance ownership, and change management capacity to carry that scale.

You dont close a 51 point gap by running pilot number six. You close it by figuring out, specifically, which of the three, governance, data, or change management, is your actual bottleneck, then fixing that one thing before greenlighting anything new.

Twenty percent of companies are ready. The other eighty are still deciding whether to admit it.