There is a version of the argument that goes like this: AI has democratized expertise. Any organization can now access threat intelligence, security frameworks, compliance guidance and risk assessments at a fraction of the cost it once took to hire senior advisors. The consultant is becoming obsolete.
It is a compelling argument. It is also wrong - at least at the level where it matters most.
The information problem is solved. The judgment problem is not.
For most of the last two decades, a significant part of what senior advisors sold was access. Access to knowledge, to frameworks, to pattern recognition built over years of exposure to complex environments. That access was genuinely scarce, and organizations paid accordingly.
AI has changed that. A leadership team today can generate a detailed cyber risk framework, a board reporting template, a vendor assessment questionnaire or a threat landscape summary in minutes. The information that once took weeks to compile is now available on demand.
But information is not judgment. And judgment is not scalable.
What AI cannot do
AI can tell you what the risks are. It cannot tell you which ones matter for your specific organization, at this specific moment, given your particular leadership dynamics, your regulatory exposure, your upcoming transaction, and the three decisions your board is about to make that they don't yet realize have security implications.
AI can produce a gap analysis. It cannot sit in a room with your leadership team and understand why certain conversations are not happening - and what that silence is costing you.
AI can summarize what went wrong in other organizations. It cannot help you understand whether the same conditions exist in yours, or give you the credibility to say so in a way that gets heard.
Advisory was never really about information. It was about judgment applied to a specific context - and the trust that makes that judgment count.
The new scarcity
When everyone has access to the same information, the question is no longer who has the best data. It is who has someone in the room who knows what to do with it.
That requires experience that cannot be prompted. It requires the kind of pattern recognition that comes from having seen what happens when the right decision gets made too late, or the wrong one gets made with confidence. And it requires the trust that only comes from a relationship built over time - not a conversation with a model.
The advisory that survives
Not all advisory becomes more valuable in this environment. Commodity work of producing reports, running audits, filling templates - will be absorbed by AI faster than most firms are prepared for.
What survives and becomes genuinely scarce is the advisor who operates at the level of leadership judgment. Who is brought in not to produce a document but to help a board think clearly, a founder make a better decision, or an investor understand what they are actually buying.
That work has always been rare. In the age of AI, the gap widens.