Why AI Pilots Succeed And Profits Stay Flat

By Naomi Withers | WBN News | August 26, 2026 Editor: Karalee Greer Subscription to WBN and being a Contributor is Free

The pilot worked. That is usually the confusing part.

Someone on the team started drafting proposals with an AI tool and got three hours back a week. Someone in bookkeeping cut expense allocations time in half. The tool did what it promised.

Then the quarter closed, and the numbers looked the same as the quarter before.

What The Evidence Shows

Most owners assume they chose the wrong tool. In my experience, that is almost never what happened.

Controlled studies keep finding real productivity gains from AI. That part holds up. What does not hold up is the assumption that those gains arrive on their own at the bottom line.

By The Numbers

McKinsey's 2025 survey of AI adoption found that only about 39 percent of organizations reported any earnings impact from AI at the enterprise level. Nearly two-thirds had not begun scaling past the pilot stage. Roughly six percent qualified as high performers, attributing more than five percent of earnings to AI.

A year on, adoption is close to universal and that gap has not closed. The technology works. The money mostly does not show up.

Where The Return Leaks Out

The return leaks in the space between the person who found the shortcut and the way the business actually runs.

One person gets faster. The process around them does not change. The handoff to the next desk takes as long as it always did. The approval still waits for the same Friday meeting. Nobody has decided whether the faster method is now the method, or a thing one enthusiastic person does.

The pilot worked and never became how the company operates. It is the most common pattern I see, and it has nothing to do with which tool was chosen.

What Carries The Value

I think about every AI investment as a bridge with two towers. One tower is the technology, meaning what the tool does to the work. The other is your people, meaning whether they can put it to use and whether their managers know how to help them.

Two towers do not make a bridge. What carries the value across is the architecture, and architecture here means three unglamorous things.

Workflow, meaning the steps were redesigned rather than sped up in one spot. Governance, meaning somebody decided what is allowed, what data goes where, and who signs off. Adoption, meaning everyone who touches the process works the new way.

None of that is technical. All of it is a leadership decision.

The Advantage Smaller Companies Have

Here is the encouraging part, and it is genuinely encouraging for a business of twenty or sixty people.

Smaller firms close this gap faster than large ones. Published research puts full adoption in a midmarket business at roughly ninety days, against nine months or longer in a large enterprise. The reason is structural. There are fewer layers between the person who decides and the person doing the work. When the owner says this is how we do proposals now, it becomes true that week.

Large organizations spend most of their AI budget covering the distance between a decision and a desk. You mostly do not have that distance.

Why It Matters

The companies that see a return from AI over the next two years will not be the ones that bought the most capable tools. They will be the ones that changed how a process runs and then held everyone to the new way.

Before buying anything else, take one process end to end and ask what would have to change for the time saved to actually stay saved.

That question is worth more than the next subscription.

Adapted from an article first published on the Growth Consultant Services blog: What the Technology Actually Returns

About The Author

Naomi Withers | WBN News https://www.linkedin.com/in/naomi-withers-7044491b/

Naomi Withers is the founder of Growth Consultant Services, where she advises founders, CEOs, and executive teams on AI strategy, executive coaching, and high-performance leadership. Her AI Transformation Diagnostic is a free place to start. She writes at growthconsultantservices.com.

Editor: Karalee Greer Subscription to WBN and being a Contributor is Free

Tags: #Naomi Withers #WBN News #Artificial Intelligence #AI Strategy #Business Growth #Productivity #Growth Consultant Services