CIO Dive reports on the Wharton-GBK Year Four findings around AI ownership: organizations with a dedicated AI leader, and those consolidating on a primary platform, are the ones reporting returns.
Mindspan Labs founder Jeremy Korst, a co-author of the study, pushed back on the easy reading of that:
"The headline many people will take from this is 'hire a chief AI officer.' That isn't necessarily what the data or my experience says."
What matters, he told CIO Dive, is that the responsibility is genuinely dedicated rather than that the title exists — "The title is spreading faster than the dedicated role." And authority without partnership does not carry: a chief AI officer without a strong relationship to the business and the CIO "has a title, not a success mandate."
On where returns actually come from, he was direct: "The returns come from redesigning how the work actually happens, and driving growth and innovation, which doesn't sit primarily in IT."
The way we see it, that is the Flywheel argument stated from the inside. A dedicated owner is a Ring 2 governance signal, not a Core fix. Appointing one does not redesign a workflow, enable a middle manager, or decide what the organization judges AI by — and those are the things that move returns. The title is a consequence of having done the work, which is why it correlates with returns and why copying it does not transfer them.
So what: If you are considering the role, decide first what decisions it will own and what it will be measured on. A mandate with resources and authority behind it is the thing that pays. A title on its own is the cheapest part of the change and the least load-bearing.