Recruiting has quietly split into two arms races. On one side, employers automated the front door — applicant tracking systems, keyword filters, automated assessments. On the other, candidates armed themselves with the same category of tool to get past those filters. The result, as executive search leader Michael D. Brown lays out in a recent Forbes Councils piece, is a hiring process where neither side fully trusts what it’s looking at.
For anyone running senior leadership searches, that’s not an abstract industry trend. It’s a direct threat to the one thing a search process exists to protect: certainty about who you’re actually appointing.
The Numbers Behind the Problem
The scale of this is larger than most hiring teams assume. In a late-2024 survey of over 3,000 job candidates, Gartner found that roughly four in ten had used generative AI somewhere in their application process. Gartner’s own forecast suggests that by 2028, one in four candidate profiles worldwide will be fake.
Robert Half research shows that two-thirds of HR leaders say AI-generated application material has slowed their time-to-hire. On top of this roughly a third of hiring managers admitting to a bad hire in the past two years. Whatever the precise figures, the direction is consistent: automated screening on both sides of the table is making it harder, not easier, to know who’s genuinely in front of you.
When the Interview Becomes a Simulation
The most striking part of Brown’s piece isn’t the statistics but his own account of an interview that went sideways in real time. A candidate answered questions with an odd delay, then repeated each question back before responding. Asked what he knew about the company, he first claimed unfamiliarity. Moments later, he recited language lifted straight from the job posting while looking off-camera. When his audio briefly cut out and he removed a small earpiece to troubleshoot it, his fluency vanished along with it.
It’s a vivid illustration of a broader mechanism. Real-time AI co-pilots, fed through a hidden earpiece or a second screen, can carry a candidate through a scripted, linear interview far more convincingly than most hiring teams expect.
Why More Screening Technology Isn’t the Answer
The instinctive corporate response — biometric monitoring, keystroke tracking, invasive proctoring — tends to backfire. It rarely stops a determined bad actor, and it actively repels the candidates worth pursuing. Senior, passive leaders with options elsewhere have little patience for being treated as suspects before an interview has even started. Fighting AI-assisted candidates with more surveillance technology addresses the symptom while damaging the employer brand you’re trying to protect.
The Fix: A More Human, More Deliberate Search Process
Brown’s prescription centers on three shifts, and they map closely onto how a properly run retained search should already operate:
Move from inbound screening to active outbound sourcing. Roles where a bad hire is genuinely costly shouldn’t be filled from an open applicant pool at all. Mapping the market and approaching specific, verifiable leaders directly sidesteps the entire inbound-fraud problem. There’s no automated queue to game because there’s no queue.
Replace scripted interviews with adaptive, scenario-based conversations. Linear question-and-answer formats are exactly what real-time AI tools are built to handle. Live scenarios, sudden constraint changes, and genuine back-and-forth strategic discussion are far harder to script around and tend to surface actual judgment rather than a well-rehearsed answer.
Treat backchannel referencing as non-negotiable, not optional. Candidate-supplied references are curated by definition. Independent conversations with former direct reports and cross-functional peers remain one of the few verification steps that’s genuinely hard to fake.
This is, in essence, how executive search has always been meant to work — the AI-fraud problem simply raises the cost of skipping any of these steps.
Why This Matters for Africa, the Middle East, and India
Hiring in these markets is digitizing quickly, and AI-assisted applications are following the same adoption curve seen elsewhere. For senior appointments the search methodology matters more than ever precisely because a mis-hire at this level is expensive to unwind and hard to detect from a polished interview performance alone.
A relationship-led, outbound search model built on direct market mapping and independent reference verification rather than inbound applications was never designed with AI fraud in mind. It simply happens to be structurally resistant to it.
The Takeaway
AI is a genuinely useful tool for the parts of recruiting that benefit from speed and scale. It is a poor substitute for the human judgment a senior leadership decision actually requires. If you’re navigating a leadership appointment where getting it right matters more than getting it fast, get in touch with our team — this is exactly the kind of certainty a properly run search process is built to deliver.
