A company with rising revenue, low customer churn and improving margins can look like a picture of health. But beneath that surface, a blind spot may be forming. Industry experts warn that the biggest threat to established companies often arrives when financial reports still look strong. The moment a board realizes the danger, it may be too late to respond effectively.

Strategy advisor Itay Sagie argues that corporate boards are particularly vulnerable to this dynamic when it comes to artificial intelligence. While many boards focus on the cost of AI adoption, the more dangerous question is what it costs to move slowly. Sagie, who advises tech companies and investors, recently outlined three principles that boards should adopt to avoid being caught off guard by AI-driven disruption.

Measuring the Hidden Cost of Waiting

The standard boardroom question is about investment: How much will this AI initiative cost? But Sagie suggests replacing that with a forward-looking analysis. What happens if the company is 12 or 18 months behind a competitor that uses AI to lower prices, accelerate product launches or personalize service? The cost of inaction may dwarf the initial investment. Pricing power erodes, customer loyalty weakens and market relevance fades before traditional metrics reflect the damage.

This shift in framing requires boards to think differently. Instead of approving budgets by return on investment alone, they should demand scenario modeling that accounts for competitive acceleration. The exercise forces leadership to confront uncomfortable projections about which revenue streams become vulnerable and which product features could be commoditized by an AI-native rival.

Why This Matters

Corporate boards hold fiduciary responsibility for long-term strategy. When disruptive technology like AI can reshape cost structures, development speed and distribution channels, the risk of inaction becomes a direct threat to shareholder value. Employees, customers and investors all bear the consequences of a board that waits for visible trouble before acting. The challenge is especially acute for industries where AI can automate core processes, from finance and logistics to pharmaceuticals and cybersecurity. A board that fails to probe for blind spots during periods of success may find itself defending a business model that no longer fits the market.

Challenging Assumptions in Good Times

Most boards become more aggressive only when performance falters. By then, options have narrowed. Sagie argues that the true test is whether a board can challenge management when things are going well. Boards should regularly ask which parts of the business would be most vulnerable if AI made a key capability cheaper or faster. Which revenue stream depends on friction? Which customer process could be automated by an external player? These questions feel uncomfortable precisely when the company is succeeding, but that is when they offer the most strategic value.

Building the Disruptor Before It Builds You

Instead of purely defending the current business model, boards can ask management to design the competitor that would cause the most damage. What would that rival do differently in terms of pricing, team structure, technology use and distribution? This offensive framing pushes companies to consider bold changes before they become urgent. It is a exercise that draws on the classic theory of disruptive innovation, first articulated by Harvard Business School professor Clayton Christensen, which showed how market leaders often ignore threats that initially seem small.

For AI, the disruptive potential is already visible in software, services, analytics, marketing and operations. For quantum computing, the timeline may be longer, but the strategic implications for cybersecurity, finance, drug discovery and logistics could be profound. Boards do not need to chase every trend, but when technology changes how work is done at the core, it becomes a governance issue.

The message is clear: Success can mask disruption. Boards that wait for financial trouble to appear may discover that the cost of delay far exceeds the cost of action.