BCG released findings from its inaugural “Split Decisions: The BCG CEOs and Boards Survey,” evidencing notable disconnects between CEOs and boards on AI strategy, implementation, governance, and accountability. While both groups agree that AI is strategically important, the survey found meaningful differences in how boards and management view the pace of adoption, board AI literacy, oversight responsibilities, and the role AI performance plays in CEO evaluations.
Key Findings include:
- Boards’ AI self-assessment vs. CEOs’ views: 75% of directors said that their AI understanding is on par with or ahead of peers. At the same time, 35% of CEOs agreed that boards overestimate what AI can realistically replace rather than understanding where AI can augment human expertise.
- Pace of AI adoption and “board FOMO”: Approximately 60% of CEOs said their boards are rushing AI transformation. Among directors who described themselves as uncertain about their AI knowledge, 40% said their organizations are moving too slowly on AI adoption.
- Who should lead AI strategy vs. who actually does: Both CEOs and boards largely agreed that AI strategy should be led by the executive leadership team rather than the board or a dedicated chief AI officer. In practice, however, CEOs appear to be carrying much of the responsibility, with 47% of CEOs saying they personally lead AI implementation.
- AI ROI in CEO performance evaluations: CEOs estimated that 35% of their performance evaluations are tied to achieving AI ROI goals, while boards estimated the figure at 27%. The survey characterized this as a gap between perceived expectations and formal accountability.
- AI literacy as a board qualification: Nearly identical shares of CEOs (79%) and directors (80%) said that prospective directors should be required to demonstrate an understanding of how AI could reshape the organization’s industry, even if they are not technology specialists.
The survey included 625 global leaders (44% US-based), consisting of 351 CEOs and 274 board members from companies with at least $100 million in annual revenue (76% representing private companies | 24% representing public companies).
Access additional resources on our AI page.
This post first appeared in the weekly Society Alert!