Many top executives are feeling a growing tension when it comes to artificial intelligence. A recent survey reveals that 61% of CEOs believe their boards are pushing AI adoption too quickly. This rapid push is driven by the hype surrounding AI’s potential, creating a sense of urgency that might not always align with actual organizational readiness.

On the other side, board members seem confident in their understanding of AI. About three-quarters say they are as knowledgeable or more so than their peers. However, CEOs often disagree. Nearly 40% of them feel that their boards lack a clear and informed view of how AI is reshaping growth strategies. This disconnect can lead to decisions that are driven more by fear of missing out than by careful planning.

The Confidence Gap and Its Consequences

The survey highlights a significant confidence gap. While boards believe they understand AI well, many CEOs see this as overstated. A third of CEOs believe their boards overestimate AI’s ability to replace human workers. This overconfidence can cause boards to advocate for faster, broader deployments of AI tools—sometimes before the technology is fully ready or understood.

Another critical point is how performance depends on AI results. CEOs estimate that about 35% of their performance evaluations now hinge on AI returns. Meanwhile, board members believe the figure is closer to 27%. This difference might make CEOs feel more pressure to push AI projects forward, even if they’re not fully scoped or tested. The result? A rush to implement AI, often driven by the fear of falling behind competitors.

Why the Rush? FOMO and Organizational Pressure

The fear of missing out, or FOMO, seems to be a key driver behind the accelerated AI push. Many executives worry that their competitors are moving faster, and that delaying could mean losing market share or falling behind in innovation. This anxiety pushes companies to adopt AI rapidly, sometimes without a full understanding of what’s involved or whether their teams are truly prepared.

The desire for quick results also creates a risk of overestimating what AI can do. Many boards believe AI can replace a large chunk of human labor, but the reality is more nuanced. AI often works best as a complement to human work, not a wholesale replacement. Misunderstanding this can lead to overspending on technology that may not deliver the expected ROI or operational improvements.

How to Bridge the Gap

Experts suggest that CEOs need to take a more active role in educating their boards. Instead of delegating AI briefings to tech teams or outside consultants, CEOs should lead hands-on sessions. Showing board members real tools, current capabilities, and limitations of AI can build a shared understanding.

This approach isn’t just about technical knowledge. It’s about framing AI as a tool that can augment human effort rather than replace it outright. When boards understand the real scope of AI, they tend to support more measured, realistic investment strategies. This can help prevent reckless deployments based on hype or incomplete information.

Ultimately, both CEOs and boards agree that AI literacy needs to improve at the leadership level. As AI continues to evolve rapidly, the most successful organizations will be those that align their strategic visions with a clear, accurate understanding of what AI can and cannot do—and do so without rushing into decisions driven by fear or excitement.