Bringing one celebrated AI expert onto a board that does not yet understand AI is one of the most common governance mistakes being made in 2026, and it usually makes the board weaker, not stronger. The sequence that works is slower, quieter, and starts with the whole board rather than a single hire.
Why the famous hire fails
The problem is not the person. It is the concentration. When a board does not yet understand AI, it does not know what it needs, so it cannot interview well and cannot judge the candidate. Appoint a famous name out of desperation and all the weight lands on one director. The board stops working as a team on the one topic that may decide its future, and you have handed your problem to a single person. That is against the whole principle of a board.
The numbers show how widespread the exposure already is. Recent board research from ISS found that only about 16 per cent of companies have disclosed even one AI-skilled director, that five sectors hold over 80 per cent of them, and that only around 4 per cent have more than one. That is the lone-expert risk, sitting in plain sight. Separate work from KPMG and INSEAD found nearly three-quarters of boards are judged to have only moderate or limited AI expertise. This is the same structural weakness I described in Why Boards Are the Furthest Behind on AI.
The sequence that actually builds board competence
This is method, not theory. Four steps, in order.
First, bring in an AI advisor to educate the whole board, together, so everyone starts from the same base. Second, the advisor works one to one with each director: teach, follow up, and understand what each has already experienced with AI, because directors arrive from very different starting points. Third, each director melds their own domain experience with what they now understand about AI. This is where the value is. A finance or operating veteran who genuinely understands AI is worth more than a newcomer who only understands AI. Fourth, and only now, do you add a dedicated AI-expert director, done in parallel across a board that can finally interview well and hold that person to account.
The reason to resist the shortcut is that this is exactly the trap that catches leaders who buy hours instead of building understanding, which I set out in Your Traditional Partners Are Failing You in the Age of AI.
Why this order matters
Board engagement is the single strongest predictor of whether AI is governed well, leading the next-best factor by more than 25 points in recent governance research. You cannot buy that engagement by appointing one expert. You build it across the room. And while 62 per cent of boards now set aside agenda time for AI, agenda time is not governance. The gap between discussing AI and governing it is exactly the gap this sequence closes. It is also why the pressure lands so hard on the CEO the board is meant to support, which I covered in Why a CEO Will Be Fired Over a Failed AI Implementation, and why concentrating a whole initiative in one likeable figure is a failure mode in its own right, as in The Proud Leader Who Handed Off His Own Future.
The instinct to solve a board’s AI problem with one impressive hire is understandable, and it quietly makes the board less able to govern the very thing it is worried about. Build the room first. Add the expert once the room can judge one.
If you are leading your organisation through this, I work with a limited number of senior leaders each quarter. Get in touch at Anglero.com.
Thomas Anglero is a Strategic AI Advisor, keynote speaker and author of Intro to Artificial Intelligence. He has delivered over 450 keynotes across 30 countries for organisations including IBM, the WHO, the World Government Summit and the European Commission. He founded the IBM Watson AI Lab for Cancer at the Oslo Cancer Cluster and closed over $500 million in enterprise transformation deals as CTO and Chief Innovation Officer at Cognizant.
Frequently asked questions
Should a board hire an AI expert director?
Eventually, yes, but not first. Adding one expert to a board that does not yet understand AI concentrates the whole topic in one person and stops the board working as a team. Build shared understanding across the board first.
Why does appointing one AI expert to a board fail?
Because the board cannot interview or judge well for a subject it does not understand, and all the weight lands on a single director. Only about 4 per cent of companies have more than one AI-skilled director, which leaves most exposed to this lone-expert risk.
What is the right way to build AI competence on a board?
Educate the whole board with an advisor, then have the advisor work one to one with each director, let each director combine their own experience with AI, and only then add a dedicated AI-expert director once the board can judge the hire.
Is having AI on the board agenda enough?
No. Most boards now set aside agenda time for AI, but agenda time is discussion, not governance. Board engagement is the strongest predictor of good AI governance, and that is built across the room, not bought with one hire.