For the first time, executive surveys show CEOs ranking AI as their single biggest business risk, ahead of war, cyber attack and recession. The real fear underneath that ranking is not the technology. It is being exposed for spending on AI without ever having a strategy for it.
The fear they will not name in the boardroom
A CEO cannot control a war or the economy. They can control their budget, and their AI budget has exposed them. Money went out so the company could be seen doing AI, so the leader could stand up and say this too is an AI-first company, and now the bills have arrived with nothing built.
It is the Ferrari in the driveway. Bought to impress, and for that first moment it works, every friend sees it. Then come the payments, the insurance, the mechanic every time it breaks, the maintenance that never stops. AI behaves exactly the same for a leader who bought it so as not to be accused of not doing AI. You have to get something back. You have to build from it. What these leaders are afraid to tell their board is one sentence: I have no AI strategy, I did it so I would not be accused of not doing AI.
The two confessions
Depending on the leader, the confession takes one of two forms.
The first is the reckless one. I had no plan, I moved because of the hype and the pressure, and the money is gone.
The second sounds far more responsible, and it is the more dangerous of the two. I saved us a fortune by not overspending like everyone else, and I have never put this company at greater risk. No counterforce. No ability to react in any reasonable timeframe. It is the second CEO, the one who is quietly proud of holding back, who should worry you most, because prudence is the disguise.
Why the cautious CEO is in more danger than the reckless one
The reckless spender at least learned something. Many are now tweaking the model and putting the right people in the right place to produce an outcome. The cautious non-adopter is betting that the future will look like today. When a competitor implements AI properly, the loss of market share and revenue can be permanent, and closing the gap takes years the non-adopter does not have. My related argument on why cutting the budget now is the wrong reflex sits in AI Budgets Are Being Cut. This Is the Moment to Move.
Then there is the entrant you never see coming. Google did not win as a better email company. It walked into markets no one expected it to enter, funded a free product with a different model, and took the whole market while the incumbents watched. AI lets new entrants do precisely that, at speed, from directions your competitive map does not show.
What this is really about: the board
Boards are risk-averse by generation and by habit, and a cautious CEO can talk a cautious board into waiting. The mistake is at board level. Boards are relying on a CEO who is too busy to think in this new way, and they trusted existing partners who sell consulting hours rather than build understanding. I wrote about that failure directly in Your Traditional Partners Are Failing You in the Age of AI, and about why the board is so often the furthest behind in Why Boards Are the Furthest Behind on AI.
What a mature board does now is build a relationship with a trusted advisor: someone knowledgeable, who has the board’s trust, acting as the bridge from board to CEO. That is the differentiator, not more hours of slideware. It is also why the pressure is real for the individual at the top, a point I made in Why a CEO Will Be Fired Over a Failed AI Implementation.
The question is not whether you bought the Ferrari. It is whether you can afford to keep it, and whether anyone on your board is asking.
If you are leading your organisation through this, I work with a limited number of senior leaders each quarter. Get in touch at Anglero.com.
Thomas Anglero is a Strategic AI Advisor, keynote speaker and author of Intro to Artificial Intelligence. He has delivered over 450 keynotes across 30 countries for organisations including IBM, the WHO, the World Government Summit and the European Commission. He founded the IBM Watson AI Lab for Cancer at the Oslo Cancer Cluster and closed over $500 million in enterprise transformation deals as CTO and Chief Innovation Officer at Cognizant.
Frequently asked questions
Why do CEOs now rank AI as their biggest business risk?
Because it is the one major risk they created and control. War, cyber attack and the economy are external. The AI budget is theirs, and in many companies it was spent without a strategy and returned little, which exposes the leadership rather than the technology.
What is a for-show AI investment?
Money spent so a leader can say the company is doing AI, with no plan to get anything back. It buys the appearance of an AI-first company and leaves the bills, the maintenance and the exposure.
Is a cautious CEO who avoided AI spending actually safer?
Often not. The reckless spender at least learned something. The cautious non-adopter is betting the future will resemble today, and when a competitor implements AI well, the loss of market share can be permanent and slow to reverse.
What should a board do about AI in mid-2026?
Stop treating an announced strategy as the finish line, and build a relationship with a trusted, knowledgeable advisor who can act as the bridge between the board and the CEO, rather than buying more consulting hours.