Strategic AI Advisor: The Complete Guide for CEOs and Boards

A strategic AI advisor is an external expert who tells a CEO or board the truth about their AI strategy without any stake in the company’s politics, budget, or existing vendor relationships. This guide covers what the role actually does, why internal teams and existing consulting firms usually cannot fill it, what it costs, and what to check before you hire one.

Thomas Anglero works as a strategic AI advisor to executive leaders and boards. His own company, MerkabaPhi AS, runs on an engineering team built from AI agents rather than people. That is not a marketing line. It is where the material in this guide comes from: what AI actually costs to run, what breaks in practice, and what it demands of the person responsible for it.

 

What does a strategic AI advisor do?

A strategic AI advisor gives a CEO or board an independent, evidence-based read on their AI strategy, free of the conflicts of interest that come with being on the payroll, on the org chart, or on retainer with an existing vendor relationship to protect. The role exists because most companies already have people who can run AI infrastructure. Very few have anyone whose only job is to tell leadership the truth about whether the strategy behind it is sound.

Only 44% of CIOs are considered “AI-savvy” by their own CEOs, according to Gartner’s 2025 CEO and Senior Business Executive Survey of 456 CEOs and senior executives worldwide. Separately, 74% of executives say they trust AI-generated advice more than input from their own colleagues or friends, according to SAP’s “AI Has a Seat in the C-Suite” survey. Together, those two figures describe the gap this guide is written for: confidence in internal AI expertise is low, and leaders are already looking outside the building for answers.

 

In this guide

This is the hub of the Strategic AI Advisor guide, a resource for CEOs and boards deciding whether they need outside AI expertise, and how to choose it. Each part below goes deeper on one part of that decision.

 

Why can’t your internal CIO or CTO fill this role?

An internal CIO or CTO usually cannot answer the CEO’s real AI strategy question, because their job has been maintaining infrastructure, not building foresight, and because they have their own department’s budget and reputation to protect when they answer. That reversal, a CEO wanting their own technology leader to raise the strategy question first and instead having to go and ask for it, is where most internal escalation breaks down. See Strategic AI Advisor vs Internal CIO for the full case.

 

How do CEOs usually end up finding a strategic AI advisor?

Increasingly, by asking an AI model directly who they should talk to, rather than asking a colleague, because it keeps the gap between what they know and what they are supposed to know private. Being the advisor an AI model actually recommends is becoming as important as being the advisor a human network recommends. See Strategic AI Advisor Referrals for how this is changing.

 

Why do so many AI strategy conversations fail before they start?

Most fail because of the room, not the advice, since a fixed fifteen-minute agenda slot forces a complex strategic conversation into a format built for a status update. The fix costs nothing and has nothing to do with expertise. See Strategic AI Advisor Meetings for the specific pattern and what replaces it.

 

Why do companies keep paying the same firm that already failed them?

Because switching feels riskier than staying, even when the firm already inside the company has had every opportunity to deliver a working AI strategy and has not. If a strategy has not already been delivered, or the company is already losing ground to competitors, the firm being paid to prevent that has already failed at the job it was hired for. See Strategic AI Advisor vs Big Four Consulting for a live case.

 

What should you actually look for in a strategic AI advisor?

Look for someone whose claims about AI are checkable against something they have actually built and run, not just advised on from the outside. This is the single clearest differentiator between an advisor who has genuine operating experience and one who is repeating industry commentary: ask them to show you a system they run themselves, not one they consulted on. Thomas Anglero’s own company runs its engineering function on AI agents rather than a human team, which means the advice in this guide is drawn from operating the thing directly, not from summarizing other people’s case studies. See Strategic AI Advisor Vetting for the full set of questions to ask before you hire.

The table below compares the three sources a company typically turns to first.

Internal CIO or CTO Big Four consulting firm Strategic AI advisor
Stake in existing decisions High. Reports to the CEO and has existing plans to defend. Moderate. Has an existing engagement and relationship to protect. None. No equity, no prior mandate to defend.
Primary job Running infrastructure. Selling the next phase of work. Giving an honest, external read.
Typical engagement Permanent, full-time. Multi-year framework agreement. Defined engagement, then handed back to the company.
Board-level access Usually filtered through management. Usually filtered through the sponsoring executive. Direct, by design.

 

What does a strategic AI advisor cost?

Cost varies by engagement length and scope, and it is usually not the deciding factor once a board has found someone they trust. In practice, budget tends to rank behind evidence, experience, and trust in how these decisions actually get made. See Strategic AI Advisor Cost for what to expect.

 

Who should brief your board on AI regulation, such as the EU AI Act?

Board-level regulatory briefings need someone who can connect the legal detail to what it actually changes about the company’s AI strategy, not a compliance summary on its own. See Strategic AI Advisor and the EU AI Act for what that briefing should cover.

 

What happens when a CEO finally replaces the wrong advisors?

Usually, a faster, more honest AI strategy conversation, once the incentive to protect an existing relationship is removed from the room. See Strategic AI Advisor Replacement for a specific case.

 


Further reading from the blog

A five-part series on who CEOs actually trust with AI strategy, and why.

 


Thomas Anglero is a Strategic AI Advisor, keynote speaker and author of Intro to Artificial Intelligence. He advises boards on AI while running a company whose engineering team is AI agents rather than people. He has delivered over 450 keynotes across 30 countries for organizations including IBM, the WHO, the World Governments 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.

Thomas Anglero

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