Who owns AI at your company?

It’s a simple question and it usually gets a long answer, which is how you know something’s wrong.

The honest answers, in the companies I see, are these. Nobody owns it. Or the CEO owns it in the margins of a week that was already full. Or the IT person owns it now, on top of everything else they owned last year, because they’re the one who understands computers.

None of those is a plan. They’re all the same thing, which is the absence of one.

You can tell without asking

There are symptoms, and they’re specific enough that you can diagnose yourself in about a minute.

You’ve sat through three or more AI vendor pitches in the last six months and you don’t have a way to compare them. Each one demoed well. Each one claimed to solve a problem you have. You have no framework for deciding, so you decided nothing, or you decided based on which salesperson followed up hardest.

Two departments bought overlapping tools and neither knows about the other.

Somebody on the board or in a client meeting asked what your AI strategy is, and you gave an answer you weren’t proud of.

You have things running that work, and you couldn’t say what they’ve returned.

Every one of those is the same underlying gap. There’s activity, and there’s no one whose job it is to point the activity somewhere.

The scale of the scramble

This isn’t a niche problem, and the market has reacted fast enough that the numbers are a little startling.

IBM’s 2026 C-suite study, covering more than 2,000 organizations, found 76 percent now have a chief AI officer in some form. A year earlier that number was 26 percent. A fifty point jump in twelve months is not a considered trend, it’s a scramble, and the talent supply didn’t move with it. ManpowerGroup found AI skills have become the hardest category to fill globally, with 72 percent of employers reporting difficulty finding qualified people.

The mid market picture is sharper still. RSM’s 2026 mid market research found 91 percent of mid sized firms use AI in some capacity, but only 34 percent feel they’ve meaningfully changed how the business runs. And 70 percent said they need outside help to get measurable value from what they’ve already spent.

Seven out of ten. These are companies that have already bought the tools.

Why the two obvious answers don’t work

Give it to the CTO or the IT lead. This is the default and it’s reasonable on paper. It also asks someone to do a different job than the one they were hired for. Running infrastructure and keeping systems up is not the same skill as redesigning how work gets done, managing the change through a resistant team, and building the case for what to fund next. It’s a fine stopgap. It isn’t a strategy, and it usually ends with a capable person doing two jobs badly instead of one job well.

There’s a related finding worth sitting with. A 2026 executive benchmark survey found 93 percent of leaders name cultural resistance, not technology, as the biggest barrier to AI adoption. That’s the actual job. It’s not a technical one.

Hire someone. For most companies reading this, the math closes the door before you get to the interview. KORE1’s 2026 salary guide puts total compensation for a full time chief AI officer at $300,000 to $550,000 in the mid market. Hatchworks’ analysis found that below $50 million in revenue, the combination of what these people cost and how few of them exist makes the hire effectively unavailable.

And that’s before the harder question, which is whether the mandate is even stable enough to define a permanent role around. Most companies don’t know yet what this job will look like in two years. Writing a job description for it now means guessing.

What ownership actually means

Set the title aside for a second, because the title is the least important part and the acronyms have gotten silly.

Ownership means four concrete things.

Somebody decides. When the fourth vendor pitch arrives, there’s a person with the authority and the context to say yes or no, and a reason for the answer.

Somebody sequences. Not everything at once. This workflow first, that one next quarter, this other one never because the payoff isn’t there.

Somebody sets the rules. What’s approved, what data goes where, what happens when a tool starts producing something wrong. This is the part that stops your AI use from being an uncontrolled experiment.

Somebody is accountable to a business number. Not system uptime. Hours out of a process, days off a close, error rates, revenue. If the person who owns AI is measured on technology metrics, you’ll get technology and no outcomes.

Gartner expects more than 30 percent of midsize enterprises to have at least one fractional executive on retainer by 2027, and most of the growth in AI leadership has come from part time and fractional arrangements rather than full time hires. That’s not companies being cheap. It’s companies noticing that they need the judgment more than they need the headcount.

The version of this we think is right

Here’s where I’ll be direct about our own view, because there’s a version of fractional leadership that we don’t think is enough.

Advice alone doesn’t close the gap. Someone senior comes in a couple of days a month, sets a direction, writes a roadmap, chairs a meeting, and leaves. The direction might be excellent. But the roadmap still has to get built, and the thing that gets built still has to survive contact with a business that changes every quarter. If the person who set the direction isn’t there when the building happens, you’ve bought a document.

Those are the pilots that stall. Not for lack of strategy. For lack of anyone holding it after the strategy was delivered.

So the model we run is one partnership rather than a series of engagements. The same person who decides what to do is there when it gets built, and stays as it changes. Direction and delivery under one owner, because splitting them is where the value leaks out.

That won’t be right for everyone. If you have a clearly specified build and you just need hands, hire a vendor. If AI has already become a permanent function with a real portfolio, hire the executive. But if you’re somewhere in the middle, with tools in the building, activity in a few corners, and no one whose job it is to make it add up, the middle is exactly where this fits.

Start with the question at the top. If the answer takes more than a sentence, that’s the thing to fix first.

Ryvin is led by Luther Andal and works as an ongoing AI and technology partner for small and mid sized companies. Strategy, build, and leadership under one owner, month after month. If you want a straight conversation about who should own this at your company, reach us at hello@ryvin.us.