Will AI replace headhunters?

Like them or loathe them, recruiters could be facing a reckoning

By Matthew Sellers

15 Sep 2026

Last year, a record 446 CEOs left publicly traded U.S. companies, the highest annual total since Challenger, Gray & Christmas began tracking the number in 2002, and a sharp jump from 373 in 2024. Average CEO tenure, meanwhile, has shrunk to 7.1 years, according to Russell Reynolds Associates, down from 8.3 years as recently as 2021.

That's a lot of open chairs at the top of a lot of organizations. And filling them is still, overwhelmingly, work done by people: headhunters who spend months building relationships, reading rooms, and talking a happily employed executive into taking a call they weren't looking for.

So why does it feel like every HR leader's group chat has, at some point in the last year, asked some version of: will AI replace headhunters?

The industry's own spending is the tell

The clearest signal of where things actually stand isn't a survey, it's what the search industry's own trade body is spending money on. In June 2026, the Association of Executive Search and Leadership Consultants (AESC) launched AI 101, a training program built to get search consultants using AI tools with more confidence. Seven weeks later, it launched a second offering: an audit service that reviews the AI tools firms have already bought and tells them whether those tools are actually being used well.

Rebecca Ditchey, AESC's senior program manager for learning and development, said the goal was to "help teams get started with integrating artificial intelligence into their workflows." That's foundational language for an audience still working out the basics, not one that's already mastered the technology.

You don't build a training program and then an audit service for an industry that has figured something out. You build it for one that has bought a lot of software and isn't sure yet what to do with it.

That gap between buying and using shows up in the adoption numbers, too. Hunt Scanlon Media reported in May that, according to a report from ExecSearches, 67% of executive search firms were actively using AI-powered tools in their workflows at the start of 2026. That's a majority, but it describes how many firms own a tool, not how many have changed how they really run a search.

HR buyers aren't far ahead of the firms they hire

If that sounds like a familiar in-house problem, it should. Australian HR Institute research conducted with Queensland University of Technology in December 2024 found that three-quarters of HR professionals rated their own understanding of AI as limited, and most organizations weren't yet using it to screen, shortlist, or interview candidates. That gap has almost certainly narrowed since, but it's a useful reminder: the people buying search services and the people selling them are working through the same learning curve, just on opposite sides of the table.

That matters for how you should read any pitch from a search firm claiming to be "AI-powered." Ask what that actually means before assuming it means less work for you, or a smaller bill.

What AI can do well

Strip away the hype and the fear, and there's a fairly narrow list of things AI tools do well in this business: scanning far more candidate profiles than a human researcher could in the same time, flagging executives whose career signals suggest they might be open to a conversation, and cutting the grunt work out of building a first-pass longlist.

Andy Miller, president and CEO of executive search firm BrainWorks says: "Technology can't replace the relationship-based nature of executive search, but it can scale it."

That's a meaningfully different claim than "AI can do the search." Scaling the boring parts isn't the same as replacing the judgment calls.

What it still can't do

F. Jay Hall, whose company ExecSearches operates a nonprofit-sector executive job board, has been one of the more vocal voices arguing search firms need to move fast or get left behind. He's described the industry as standing "at the edge of a cliff." It's worth noting his business has an obvious commercial interest in that framing. But even he draws a hard line around what he believes a machine can't do: the deepest parts of a search, in his view, come down to reading people, sensing what they actually want, and earning their trust, qualities no software has yet managed to fake convincingly.

That lines up with what most search consultants will say off the record. A résumé-matching algorithm doesn't know that a candidate is quietly miserable in their current role, that a board member and a finalist have history that will sink the deal in the final round, or that the "perfect on paper" candidate freezes under real pressure. Reading a room, and reading a person, is still a human skill.

Five questions to ask your search partner about AI

Whether you're briefing a firm for the first time or renewing an existing retainer, these are worth asking directly:

Which specific stages of the search does AI actually touch, sourcing, screening, scheduling, or something else?
What stays entirely in human hands, and why?
How do they handle candidate data and confidentiality when it passes through third-party AI tools?
Has their use of AI changed their fee structure or timeline commitments to you, and how?
Can they show you a recent example of AI catching (or missing) something that mattered?

So, will it?

No, not in the way the question is usually meant. What's more likely, based on where the industry's own money and training budgets are going, is a split: search consultants who use AI to do the sourcing grunt work faster, freeing up time for the relationship-building that actually closes a placement, and those who don't, competing on speed against firms that do.

The job doesn't disappear. But the version of it that survives looks a little different than it did five years ago, and with CEO turnover running at its highest level since Challenger started tracking the data in 2002, there's no shortage of work to prove it either way.