AI is a reputational risk if you don't know what you're using it for
By Matt Burton / MyTeAIm · 17/09/2026
Every AI capability a search or recruitment firm adopts should be run through one filter before it goes anywhere near a client, a candidate, or a press release
##
There's a moment in every AI vendor conversation where the pitch turns to speed. Candidates found "in seconds." Searches that used to take three months, done in thirty seconds. It's seductive copy and it's everywhere right now in our industry.
But before any recruitment firm, search or otherwise, puts its name next to language like that, it's worth asking a much harder question than "does the tool work?" The question is: what am I actually trying to get out of this, and who is it for?
Get that answer wrong and AI stops being a productivity story and starts being a reputational one.
The shocking PR
Qlu.ai, an AI sourcing and outreach platform, has spent the last two years building its brand on a single promise, repeated across its site almost word for word: "Find Executive Candidates in Seconds, not months." Cut sourcing time "from 3 months to 30 minutes." "90% faster candidate identification than manual sourcing."
It's a sourcing and calling tool sitting on top of a firm's existing CRM, not a replacement for one — and credit where it's due, the sourcing and dialer mechanics look genuinely well built, but not unique!
Its headline reference client is Spencer Stuart, one of the largest executive search and leadership advisory firms in the world, which announced a strategic partnership with Qlu back in February 2024 — a partnership still being actively promoted by Qlu's founder more than two years on. Spencer Stuart's own announcement framed it well internally: the aim was to combine "the power and efficiency of Qlu's AI" with "the expertise and market insights of our best-in-class search team," to "improve the timeliness and impact" of client service.
Read in isolation, that's a sensible, defensible rationale for adopting a sourcing tool. Read in public, next to a vendor whose entire external identity is "candidates in seconds," it's a different story. It hands every client and every competitor a ready-made question: if an algorithm can do the hard part in seconds, what exactly is the 30% fee for?
That's not a knock on the underlying technology. It's a lesson in what happens when a firm lets a vendor's marketing narrative become part of its own.
The question that actually matters
Every AI capability a search or recruitment firm adopts should be run through one filter before it goes anywhere near a client, a candidate, or a press release: what am I trying to get out of this, and who is it for?
If the honest answer is "this makes my consultants better at their jobs" — faster research, sharper prep, more relevant shortlists, more time spent on judgment and relationship work instead of admin — that's a client-facing win worth talking about, because it's a service improvement, not a shortcut. If the honest answer is closer to "this lets me claim we're faster than everyone else," that's a marketing decision, and it needs to be weighed as one, with the reputational exposure fully priced in.
Those two things get conflated constantly, and it's exactly where firms get into trouble. The technology can be doing something genuinely useful internally — better matching, faster enrichment, sharper account intelligence — while the public story about it does real damage, because it invites the client to reprice the whole relationship around the one thing AI is least good at replacing: judgement, trust, and accountability for the outcome.
What AI should actually be for
The honest, defensible case for AI in this industry has nothing to do with speed as a headline. It's about making the actual service better:
Consultants freed up from admin and first-pass research to spend more time on the conversations that need a human — with clients, with candidates; in the room, on the phone. Candidate and client experience that's more responsive, because prep is done properly and nobody's waiting three days for a follow-up that AI could have queued instantly. Matching and market intelligence that's more relevant, not just faster — the difference between a shortlist that's technically qualified and one that's actually right for the mandate. Judgement, still made by a person, better informed than it's ever been.
None of that is a headline claim. It doesn't fit on a landing page. But it's the version of "AI in executive search" that survives contact with a client asking a hard question about fees — because the answer is "we're better at this because of it," not "we're faster than you thought was possible, so what were you paying for before."
The practical takeaway
Before adopting any AI capability — and definitely before putting your name to someone else's marketing about it — ask what it's actually for and who it serves. If it serves the quality of the work, say so, proudly, and let it earn trust over time. If it mainly serves a speed claim, understand you're borrowing someone else's story, and that story may not survive being read back to you by a client. The firms that get this right will use AI to become worth more, not less. The ones that don't will hand their clients the exact question they should never have to answer.
Matt Burton Matt Burton has over 25 years’ experience in recruitment, with a focus on helping recruiters improve how they work and deliver more value to clients. Through MyTeAIm.com , he brings together AI agents and human recruitment expertise to help recruiters work more productively, deliver a more consistent service and build stronger client partnerships.