AI & the Board

No. Directorial AI literacy is not transformer architecture or prompt engineering; it is four specific capacities: interrogating maturity claims, assessing whether governance is operational or merely presentational, identifying material AI risk, and exercising independent judgement. A two-day awareness course produces a credential, not a capability, and comfort without capability is worse than acknowledged ignorance. AI and the Director sets out what the four capacities require.

It helps, and it is not enough. Every director carries an equal share of collective accountability, so every director must engage; a Board that lets AI matters concentrate around one fluent seat has allowed the rest of the table to silently exit an obligation Cadbury imposed in 1992. Heidrick & Struggles’ 2025 commentary and Russell Reynolds’ 2026 analysis of 398 public company boards reach the same conclusion. The Chair’s job is to refuse the proxy, as I argue in AI and the Chair.

Yes, with one discipline held absolutely. Agency, the doing of the work, can be transferred to a tool; accountability cannot. A director who reads only the AI summary of a 200-page pack and asks only the questions the AI generated has outsourced the role they were appointed to perform. The same applies to the secretariat: an AI-generated board pack is not a board pack. AI and the Chair and AI and the Company Secretary work through the failure modes.

The same people who always did. The CFO still signs accounts a machine helped produce, because accountability follows the consequence, not the line of sight. The Company Secretary still stands behind the legal record and the disclosures, however machine-assisted the drafting. Nothing in the Companies Act or the FRC Code moves the signature. AI and the CFO and AI and the Company Secretary trace where that line is being tested.

Yes, and it is an opportunity many Boards overlook while they attend to the risk. Decision analytics moves a Board from backward-looking metrics to modelled futures, and the four indicator types, lagging, leading, predictive, and reasoned, together give directors maximum fidelity: everything knowable made available before judgement is exercised. The indicators inform the decision; they do not make it. Start with Maximum Fidelity and the implementation guide.

Often enough that the conversation never collapses into risk alone. Protiviti and BoardProspects’ 2026 Global Board Governance Survey found only 26% of Boards discuss AI at every meeting, while 63% of high-ROI organisations do, against 13% of low-ROI ones. Cadence is the easy part; breadth is the discipline. The Six Board Concerns model gives the agenda its shape: Strategic Alignment, Ethical and Legal Responsibility, Financial and Operational Impact, Risk Management, Stakeholder Confidence, and Safeguarding Innovation. A Board that reaches only the fourth has discharged a fraction of the obligation, and the Chair’s job is to keep the other five on the table, as AI and the Chair argues.

By how management responds to challenge. Governance that works has been applied to real deployment decisions, tested against edge cases, and revised when it failed, and the people running it can cite the cases. Governance on paper produces vague reassurance, circular appeals to the policy document, and no example of a decision it ever changed. That is governance theatre: oversight in appearance only. The test asks nothing technical of a director, only the discipline to ask for the evidence. AI and the Director sets out the questions, and the Minimum Lovable Governance principle explains why the smallest structure in use beats the most comprehensive one on a shelf.

Both, for different things, with the Board holding each to account. The Chief Executive chooses which bets the organisation makes and answers to the Board and the market for whether they paid off and for the truth of what was claimed about them. The CFO stewards the capital and answers for whether those bets earned their keep. Conflate the two and accountability blurs: a small 2025 KPMG survey of US finance and technology leaders found 59% of CFOs and 61% of CIOs each claiming primary responsibility for AI investment decisions. AI and the CEO and AI and the CFO draw the line between the choice and the stewardship.