The default answer to "we are not getting value from AI" is still the same: raise the budget. Gartner's latest functional-leader survey says that plan is already popular, and it is not the same as scale.

In a survey fielded January through April 2026 among 1,303 respondents at organizations with at least $50 million in 2025 revenue, Gartner found that only 22% of organizations have successfully scaled AI across multiple business units or adopted an AI-first approach. At the same time, 85% of functional leaders plan to increase AI spending in 2026 after dedicating an average of 12% of their functional budgets to AI in 2025. Source: Gartner Survey Finds Only 22% of Organizations Have Successfully Scaled AI Across Multiple Business Units.

The myth is that spend equals scale

Scale is not a line item. Scale is when the same kind of work finishes the same way in more than one team without a hero project every quarter.

Buying another seat, another pilot, or another "AI strategy" workstream does not create that. It creates more places where nobody owns the outcome. Roughly 11% of organizations in the same survey were entirely unaware of what their function spent on AI in 2025. If you cannot name the bill, you cannot name the return.

This is the same pattern we wrote about when pilots look successful and the business does not change. A demo is not a scaled path. A bigger demo budget is not scale either.

What high performers do differently

Gartner separates high performers as companies that constantly track ROI of AI initiatives, treat AI as a portfolio of value, and regularly reallocate or discontinue underperforming initiatives. Those organizations reported positive returns in 81% of their AI initiatives. Low performers said they did not know the rate of return for 29% of theirs.

That is not a model tip. It is an operating rule:

  • Every AI initiative has an owner, a cost, and a kill date if the metric does not move
  • Underperforming work loses budget on purpose, not by accident
  • New spend waits until you can say what last quarter's spend bought

Most functions still aim at productivity, which Gartner says was a key target for 75% of leaders and about 30% of functional AI spend. Productivity is fine. Unmeasured productivity is how a tool stays on the stack after the novelty wears off.

What to do instead of raising the envelope

Before you ask for more money, write the kill list. One page is enough: each AI or automation spend, the path it was supposed to change, the metric, and the last date you checked.

Then pick one path that still hurts and fund that path only. Not an AI platform. Not a second pilot in a new department. One trigger, one system of record, one person who gets the failure. That is how scale starts: by repeating a path that already earns its keep, not by funding ten that might.

You do not need another AI strategy deck to do this. You need an automation list with owners and stop conditions, the same argument we made when we said you need an automation list, not a strategy retreat.

More budget without a kill list is not a scale plan. It is a longer invoice.