Boards Are Flying Blind on AI While Revenue Looks Fine

Quick Facts

• 66% of board directors report limited to no knowledge or experience with AI, per McKinsey’s December 2025 report
• Nearly one in three boards do not have AI on their agenda, even as 88% of organizations use AI in at least one business function
• Only 1% of C-suite leaders describe their organizations as AI mature, yet 92% plan to increase AI investment over the next three years

Healthy revenue is hiding a dangerous problem in the boardroom. According to strategic adviser Itay Sagie, writing for Crunchbase News, boards are not waiting for poor performance before confronting AI disruption. They are simply not confronting it at all.

The core warning is this: success itself creates blind spots. Strong metrics, growing customers, and solid margins give boards a false sense of stability. That comfort delays the hard questions about whether the business model will survive the next wave of technological change.

The Numbers Behind the Gap

The data supports the concern. Sagie cites McKinsey’s December 2025 report showing 66% of board directors have limited to no AI knowledge or experience. Nearly one in three say AI does not appear on their board agendas at all. At the same time, more than 88% of organizations already use AI in at least one business function. Fewer than 25% have board-approved AI governance policies.

The disconnect between adoption and oversight is sharp. Boards are supposed to govern risk. On AI, many have not started.

CEOs Feel the Pressure

The burden is falling on chief executives. A Dataiku survey of 900 CEOs across eight major economies, conducted between February and March 2026, found that nearly four in five fear missing promised AI returns will trigger their dismissal. Only 12% voiced similar concern two years earlier.

Seventy-two percent of CEOs now recognize they must be the primary decision-maker on AI within their organizations, double the share from 2025. Half of CEOs globally say their job stability depends on getting AI right.

Yet boards and CEOs are not aligned on execution. Sixty-one percent of CEOs say their boards are pushing AI transformation too fast. Boards tend to favor accelerated implementation. CEOs are more cautious about readiness.

Investment Without Maturity

Spending is not solving the problem. Ninety-two percent of companies plan to increase AI investment over the next three years. Yet only 1% of C-suite leaders describe their organizations as AI mature, per McKinsey’s 2025 data.

A BCG survey of 1,000 senior executives across 59 countries found 74% unable to scale AI value despite significant spending. AvePoint’s 2025 report found 86% of organizations delayed AI deployments by up to a year due to security and data quality concerns.

The gap between intent and execution is widening. Fifty-nine percent of companies invest over $1 million annually in AI. Yet 54% of C-suite executives admit that adopting AI is creating serious internal conflict.

What Boards Need to Do Differently

Sagie’s argument is not that boards must become AI experts. It is that boards must stop treating their current success as evidence that the future is safe. Three-to-five-year planning cycles built on extending present conditions forward are not strategic planning. They are extrapolation.

May Habib, CEO of Writer, frames the challenge directly: leaders who redesign operations around human-agent collaboration are compounding advantages that competitors cannot replicate. Layoffs alone are not a strategy.

Gartner analyst Lizzy Foo Kune put a finer point on the literacy gap: anticipating disruption is not enough. Leaders must recognize the personal transformation required to lead through it, and build the skills to prioritize high-impact use cases and manage risk.

The window for proactive action closes quietly. By the time revenue starts declining, the structural moves that could have preserved the business are already out of reach.

Read more: The Boardroom Blind Spot: When Success Hides Disruption