The board is usually the part of an organisation that understands AI the least, and it is also the part that holds the final decision on it. You cannot close that gap with a single training session. A board is raised the way any group of people is convinced, through results it can see and verify, and the work begins with the leader, not the board.
Why boards are the furthest behind on AI
New research this month makes the gap measurable. The Board Value Index from Board Intelligence surveyed more than four hundred directors and chief executives. More than four in five, 84 percent, said their boards have discussed which decisions should stay human-led and which AI can take on. Only about half went any further than the discussion. In the same survey, 40 percent believed boards themselves will need little or only incremental change, and only 37 percent saw their board as essential to value creation.
Set that against what is happening below them. The staff a few floors down are already past the question of whether to trust AI and are using it to do the work. So the room with the most authority is the one furthest behind, and it still holds the decision. That gap is exactly why boards can no longer treat AI as someone else’s problem.
You have probably sat in the meeting. You bring the board work that AI helped you build, a sharp read of the market, a model your competitors do not have, and instead of a decision you get a debate about whether the tool can be trusted. The room slows down at exactly the point it should move.
Why a training session does not fix it
A board does not learn AI in a slide deck any more than your company did. For most boards, acting does not mean what it sounds like. It means funding a few seats of ChatGPT and calling it progress. That is not acting. It is falling behind in a more expensive way.
How a leader raises a board on AI
Through results, not lectures. You bring the board outcomes, a new market, a revenue line, a risk they could not see, and when they ask how you got there, you talk about your AI work plainly, as a matter of fact, the way you would talk about a spreadsheet. You show your working. You repeat how the data is backed, where the risk sits, and how you have brought it down. They will be impressed and frustrated and nervous all at once, and the job is to make them comfortable in their own skin again.
This is the part nobody tells a leader. You end up doing the job twice. You are the steady presence for your company through the change, and then you turn around and patiently raise a board that understands the least and decides the most. It is a heavy lift, and it is the job now.
The companies that pull ahead this decade will not be the ones with the best tools. They will be the ones whose leaders were willing to teach the room above them. If that is the room you stand in front of, it is worth seeing what leading through AI looks like done well.
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.