Bridging the Gap: Why Boards Need Both AI Expertise and Effective Oversight

From 2023 to 2025, the percentage of S&P 500 companies identifying AI as a risk surged from 12% to 83%. Yet, fewer than 3% of directors possess AI expertise, and only 23% of executives believe their boards are highly fluent in AI. As AI integrates deeply across business functions, boards face a critical knowledge and oversight gap that must be addressed. While recruiting AI experts is important, it’s not enough since AI touches all areas of business and requires distributed oversight among all directors, not just specialists. Moreover, expertise in AI doesn't guarantee effective oversight; true oversight means actively managing AI risks and accountability.

Boards must focus on key AI oversight areas such as governance accountability, data transparency, explanation and disclosure, fairness, risk management, human judgment, and autonomy controls. Good oversight means measuring what directors actually do, not just what they know, ensuring every director meets a minimum competency floor across all oversight areas. Depth should be spread across the entire board with at least two directors proficient in each AI domain to avoid blind spots. Ultimately, possessing AI expertise is valuable, but it is the board’s actions in diligent AI oversight that safeguard the company’s future.

For directors wanting to assess their AI oversight capabilities, participation in ongoing research and scorecards is encouraged to benchmark and improve their effectiveness.