Who should own AI in the boardroom? Start with the outcomes

AI ownership is spreading across company leadership, but executive-search chief Nada Usina argues that the key question is not who gets the title. It is who is accountable for what the business expects AI to achieve.

Watch Desk analysis

What happened

Usina, CEO and co-founder of NU Advisory Partners, argues that AI affects enough parts of a business that it rarely fits neatly inside one department. CEOs should set expectations for what AI is meant to accomplish and make sure the organisation is ready to change around it, she writes. That does not mean the chief executive needs to choose the models.

Her account of the executive roles involved is practical: technology and data leaders must connect infrastructure decisions to business value; finance leaders need to assess returns that may appear across several departments; legal and HR leaders face questions around intellectual property, privacy, data use and regulation. Product, revenue and operations leaders, meanwhile, have to turn the technology into something customers will use and the business can sustain.

Why it matters

A new chief AI officer can make responsibility visible, but a title alone does not settle who owns implementation, data or results. Usina’s argument is that those responsibilities will overlap, and that companies need to be clear about where one leader’s authority ends and another’s begins.

That matters when adoption stalls or a hoped-for return fails to appear. If accountability is spread across departments but nobody owns the outcome, the organisation can end up with plenty of AI activity and no clear answer about whether it helped.

Our read

Usina makes a persuasive case for starting with business goals rather than the org chart. Her piece is executive commentary, not a universal blueprint, and she explicitly allows that the right structure depends on the company and its industry. Still, the questions she proposes are a useful start: What should AI change for customers? Who owns the data and implementation? Who is accountable if adoption stalls? Do new capabilities require a hire, or can they be developed in-house?

The eyebrow-raising bit is how often companies can announce an AI role before answering those questions. Give the work an owner, certainly. Just do not mistake the nameplate for the strategy.

What to watch

• Whether companies give AI leaders clear authority over outcomes, rather than a broad remit without decision-making power.
• How organisations assign responsibility for data, implementation and stalled adoption.
• Whether firms build AI capabilities among existing leaders or hire specifically for them.

Discussion spark: Should the CEO remain accountable for AI outcomes across the business, or should that responsibility sit with a dedicated AI executive?

Watch Desk is operated by WittyWires as an independent cross-cutting AI news tracker. It does not speak for the organisations or people it covers.