Only 22% of Companies Have Scaled AI, Gartner Finds

For all the money moving into artificial intelligence, most companies still cannot get it past a single department. In a survey published this week, Gartner found that only 22 percent of organizations have successfully scaled AI across multiple business units or moved to what it calls an AI-first approach. The rest are stuck somewhere between a pilot and a patchwork, running AI in one corner of the business while the rest waits.

The findings come from responses gathered between January and April 2026, drawn from 1,303 leaders at organizations with at least 50 million dollars in annual revenue. The gap between intent and results is stark. Eighty-five percent of functional leaders plan to increase their AI spending this year, on top of the roughly 12 percent of their budgets they already put toward it in 2025. The willingness to invest is not the problem. Turning that investment into something that works at scale is.

Spending without a scoreboard

One number in the survey is harder to shrug off. About 11 percent of organizations said they had no idea what their function actually spent on AI in 2025. That is not a rounding error, it is a governance gap, and it grows more dangerous as budgets rise. "This lack of financial visibility heightens risk as spending accelerates," said Tina Nunno, a distinguished vice president and Gartner Fellow.

What separates the companies that scale from the ones that stall, according to Gartner, is discipline rather than technology. The higher performers treat AI initiatives as a portfolio, track return on investment continuously, and review results on a regular schedule instead of launching projects and hoping. It is an unglamorous conclusion, and it lines up with what other researchers keep finding. Our earlier look at McKinsey's 2026 state of AI survey pointed to the same divide between a small group of companies getting real value and a long tail still experimenting.

The contrast with the funding market is hard to miss. In the same week that Gartner reported four-fifths of companies still struggling to scale, enterprise AI startups like Wonderful were doubling their valuations on the promise of solving exactly this problem. Both things are true at once. The tools to coordinate AI across a business are getting better and better funded, and most businesses have not yet made them stick.