What AI Can and Cannot Do in an Executive Search
If you have talked to a search firm recently, you have almost certainly been pitched an AI-powered process. Sourcing tools. Fit scores. Agents that scan networks around the clock and surface people who look ready to move.
The tools are real. The question is not whether they exist. It is what they can actually do in a search that matters, and where the work that determines whether a placement succeeds still requires something else.
Getting that line wrong, in either direction, is expensive.
Where AI Actually Helps
Candidate discovery at scale. AI can map a market across industries, geographies, and career paths faster than manual research. For searches that need broad intelligence before you narrow the list, that is a real gain.
First-pass screening against clear criteria. It can work through a large volume of information against a defined set of requirements and compress the top of the funnel before a person takes over.
Market and compensation context. Tools can pull current ranges, talent supply, and competitive context so the search is scoped, and the offer conversation is grounded, before the first call goes out.
Operational work that used to eat time. Scheduling, notes, outreach sequencing, first drafts of a role description. Reliable, fast, and worth handing off.
The pattern is consistent. AI is strongest on the high-volume, rules-based parts of a search. It is weakest as the work moves toward assessment, relationship, and the decision.
Where Judgment Still Does the Work
The hard part of an executive search is not finding people who look right on paper. AI can do that. The hard part is whether this person is right for this company, at this stage, with this team.
Motivation. Whether someone is genuinely interested, testing the market, or shopping a counter-offer comes out in conversation. A model cannot tell those apart. An experienced search consultant usually can.
Fit with the CEO and the board. A tool can confirm functional experience and trajectory. It cannot tell you whether someone’s communication style will work for this CEO, or whether they will handle this board. Those calls still decide a lot of first-year outcomes.
References that are not on the list. The most useful information often comes from people the candidate did not offer. Knowing who to call, how to read hesitation, and what to do with it is human work.
Getting the right passive candidates on the phone. The people worth hiring at this level are rarely looking. AI can find them. It cannot make them take the conversation seriously. That still depends on relationship and credibility.
Whether the person in front of you matches the file. AI-polished materials are common. Sourcing tools find profiles. They do not verify that the person being presented is the person you think you are evaluating.
The close call. A candidate can score well on every measurable dimension and still leave something off in the references. AI gives you a probability. You are paying a search partner for a point of view. Those are not the same thing.
The Question to Ask a Search Partner
The better firms in 2026 use AI where it helps, sourcing, market context, and the operational load, and keep experienced people accountable for the calls that determine whether the hire works.
The question is not whether they use AI. Most do. The question is where the final judgment sits, who makes it, and whether those people can actually engage the candidates you need.
At the executive level, a search that is efficient but wrong costs more than one that takes longer and gets it right. AI can make the process faster. Relationships and judgment are what make it right.
Andcor: Judgment First
At Andcor, we use the tools available to us, including AI, where they compress the parts of a search that should be compressed. The decisions that matter, who is right for this company, at this stage, given these dynamics, are made by people with the relationships and the market context that come from doing this work since 1969.
That is not a position against technology. It is a position about what executive search actually is.