Use of generative AI as a decision aid in corporate board meetings
Source article: AI has made it to the boardroom – can companies make the most of it?
When Christian Stadler sat in on a recent board meeting, a crucial question was answered in a way that just might predict how companies are run in the future. The quandary was whether it would be more cost effective to renovate an old facility or set up elsewhere. It came down to the maths, but no director could conjure up a figure. There was one source that could, though – AI. Stadler, a professor of strategic management at Warwick Business School (WBS), explains that posing difficult questions that executives…

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A Warwick Business School professor observed a board facing a choice between renovating an old facility and setting up elsewhere. No director could produce the figures, so generative AI was asked and returned an estimate that later proved close to the result of further investigation. The article uses this to explore how AI could change board decision-making.
The episode matters because boards must justify strategy and answer for outcomes, and the academics quoted agree AI cannot take on that responsibility. What remains unclear is how far boards should restructure around AI, since the article offers expert opinion and one anecdote rather than systematic evidence on whether AI improves board decisions.
Main points
- Generative AI gave an instant answer to a cost question that no director could answer, and the figure was close to the final investigated number.
- Stadler argues AI should be treated as a resource rather than a colleague because it cannot legally sit on a board or be held accountable.
- Hayton warns of cognitive offloading and of production blocking, where people go along with the AI's suggestion and diversity of thinking suffers.
- Tate argues boards, not AI, should be rearranged, predicting that quarterly meetings reviewing AI suggestions will seem outdated.
- Tate sums up the limit on AI's role: it will get a seat on the board but never a vote.
The gain
In one observed board meeting, generative AI supplied an instant cost figure for a renovate-or-relocate decision that was close to the number reached after further investigation.
The problem
Directors may over-rely on generative AI and cannot tell whether its advice is good, while the technology cannot be held accountable for decisions it informs.
The rundown
Stadler says that tough questions in board meetings are usually handed to someone to answer by the following quarter. Generative AI offers an immediate response, which may not be fully accurate but gives executives a starting point.
Hayton envisions AI as something between a technology platform and a non-executive director. It would consolidate large volumes of data and briefing notes so directors arrive with better questions. He advises collecting people's ideas before consulting AI to protect diverse thinking.
Tate counters that humans are not always right and that neither human nor AI strategies are guaranteed, since boards may not know for months whether a strategy has worked. He suggests AI could work continuously in the background on market research, internal data and tracking new ventures, and says governance built for human timescales is becoming ill-fitted.
What this doesn’t fix
The evidence for AI's benefit is a single anecdote from one board meeting, and the source notes that directors cannot easily judge whether AI advice is good and that AI answers may not be entirely accurate.
Sources
- JournalismThe Guardian2026-10-09
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