Executive Leadership
Do You Need a Chief AI Officer? A CEO Who Runs an Agent Fleet Says Not Yet
Boards are asking whether the company should hire a Chief AI Officer. For most companies I would say no, at least for now. The reason has very little to do with talent and a great deal to do with who ends up owning the agents.
The question usually arrives as a suggestion. A director reads about a competitor appointing one, or a search firm sends a nicely formatted note about the role, and by the next meeting somebody wants to know whether the company has a plan for “AI leadership.”
I hear it from both chairs.
As CEO of Visiting Media I am the person a board would expect to answer it, and as a director at ACT | The App Association I am one of the people who might ask it. I also run a fleet of specialized agents across my own operating work, which means I have spent the last couple of years doing most of what a Chief AI Officer job description lists, mostly without noticing that it was a job.
What the guides agree on
The articles that rank for this question are more alike than their headlines suggest. They define the role (strategy, governance, a portfolio of use cases, adoption across teams) and spend a section separating it from the CTO and the chief data officer. Then they give you a list of signals that you need one, offer a head of AI or a fractional advisor if you don’t, and several end by wondering whether the job is transitional, the way chief digital officers turned out to be.
All reasonable. I agree with most of it. What none of them ask is who owns each agent on the day after the hire, and in my experience that question decides whether the hire helps or quietly makes everything slower.
You already have one
It is the CEO.
AI in 2026 runs through every department’s budget and every department’s risk at once. When marketing and support have each built an agent that summarizes customer calls, somebody has to decide which one survives, and the only person with authority over both teams is the CEO (or a COO with an unusually broad mandate). A new executive at the same level as those department heads does not get that authority by being hired. They get a seat at the table and a lot of meetings.
My own fleet started as automation I built for myself, for work I was tired of doing by hand. It now has a register and a named human owner for every agent, and it has retired more agents this year than it launched. None of that needed a new C-level title. It needed me to keep reading the register and to keep saying no to agents that had stopped earning their keep.
The failure mode is centralization
Here is the pattern I would watch for. The company hires a Chief AI Officer, and because the role sounds like it should own AI, every agent gets moved under that person. The marketing team’s content agent and the finance team’s Thursday-night reconciliation job both report to one office now, along with everything else.
Two bad things happen next. The new office becomes a queue, because every change to every agent waits on a team that does not understand the underlying work. And the line managers stop owning the output, because AI is now somebody else’s department, which is exactly the accountability gap the oversight questions are designed to catch.
Agents should be owned by the person whose work they do. That is how the delegation of authority matrix I use assigns them: authority sits with an owner in the business, with tiers based on how reversible the agent’s actions are. When an agent in my fleet published a fabricated claim at 2:14 one morning, the person who could fix it fastest was the one who understood the content, and a central AI office would have been one more phone call in the way.
What I would hire instead
A head of AI operations, below the C-suite, reporting to the CEO or COO. This person keeps the fleet register and runs change control on model upgrades, which is the largest unreviewed change most companies make to their operations. They run the weekly graded sample of agent output. They write the first draft of the AI page in the board pack and they push for retirements when an agent goes stale.
They do not own the agents. They do not decide what each department automates either, though they should have a loud opinion about it.
Think of the job as something closer to a controller than a chief strategist. A controller does not run the sales team, but nobody books revenue without passing through the controller’s process, and the CFO sleeps better because of it. That is the relationship I want between a fleet operations lead and the people who own agents.
When the C-level title is right
There are real cases. The strongest is when AI is the product, meaning customers are paying for model output and the roadmap and the liability both depend on it. Then you need an executive whose whole job is that, and calling them a head of anything undersells the seat when you are recruiting.
A weaker case, and the more honest one, is a CEO who cannot give AI the time. If you are in the middle of a financing or a turnaround, you may need someone with the authority to make cross-department calls on your behalf. Say that out loud when you hire them, and give them the authority in writing, because a title without the authority to kill another department’s agent is mostly decoration.
Regulated industries sometimes need a named officer for a regulator to talk to. Fine. That is a compliance role, and it should be scoped like one.
Write the end date into the offer
If you do hire a Chief AI Officer, put a review date in the role itself, about two years out. At that point the job either becomes the operations role I described above or folds into the COO, and everyone knows that going in.
Titles are hard to take back. The guides that call this role transitional are probably right, and the kindest thing a CEO can do for the person in the seat is say so in the offer letter instead of in a reorg memo later. I spent years arguing for agile marketing, and the teams that absorbed it best were the ones where it stopped needing a separate owner.
Ask what the CEO stops doing
If nobody can name a single decision the CEO will stop making on the day the Chief AI Officer starts, the company is hiring a spokesperson.
For directors
A board should not block this hire, and it should not wave it through. Before approving it, I would ask management to bring the fleet register to the meeting and answer, against that register, which agents change owners when the new executive arrives. The right answer is very few. If the answer is all of them, the plan is centralization with a new title on top.
I would also ask who presents the AI page to the board after the hire. If it is the new executive alone, the CEO has handed off the one part of this that should never leave the CEO’s desk. And if the company has not yet found its shadow agents, I would hold the search until it has, because the person you hire will spend their first six months doing that inventory anyway, and it is cheaper to do it before you know what to put in the job description.
Boards that want an outside view on this before committing to a C-level search are better served by a technology board advisor for a few quarters. It costs less, and it leaves the question open until the company has enough of a fleet to know what it actually needs someone to run.
This article is part of the Executive Leadership cluster, focused on board governance and the operating discipline required to run AI systems responsibly at the executive level.