The results, risks and real tragedy of leaving recruitment to AI

Let’s rewind. In a bid to stand out, jobseekers are increasingly turning to AI tools like ChatGPT to craft the perfect CVs, generate cover letters, answer questions and even prep for interviews.

Recruiters, on the other hand, are overwhelmed by the volume and have responded with their own digital defenses: AI filters, keyword scanners, automated scoring tools, and AI Interview agents like Hirevue that promise to “predict” a great hire.

The result? An arms race where both sides are optimising for each other’s algorithms, not actual outcomes.

The risks are real. For applicants, there’s the growing fear of being weeded out by a system that never really saw them. Your résumé might be excellent, but if it doesn’t have the right formatting or include the phrase “cross-functional collaboration” three times, you are toast.

On the recruiter’s side, things aren’t any better. Quality candidates are slipping through the cracks, especially those with unconventional backgrounds or who aren’t great at gaming the system. What you’re left with are the best prompt engineers, not necessarily the best engineers.

But the real tragedy? We’ve replaced nuance with pattern matching. Potential with predictability. And in the process, we’re forgetting that hiring is a deeply human decision. Making hiring more human doesn’t mean abandoning tech. It means using tech to free up time so recruiters can connect, guide, and support. Let AI do the heavy lifting but let humans do the choosing, nurturing, and storytelling.

And then there’s the issue of ethics. In the age of AI, companies must be transparent about the tools they’re using in hiring. Applicants deserve to know if AI is screening their CVs, how their data is being used, and whether diversity, equity, and inclusion (DEI) principles are being upheld in automated decision-making.

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A trust-based hiring process means disclosing your AI usage policies and aligning with data protection laws — not just as a legal checkbox, but as a commitment to fairness.

The conversation isn’t just theoretical. In the US, Workday is facing a class action lawsuit over claims that its AI hiring system discriminated against black, older, and disabled applicants. It’s a wake-up call for companies: without proper oversight, automation can deepen inequality rather than fix it.

This isn’t to say AI doesn’t have a role. It can streamline, sort, and speed up parts of the process. But like all tools, it’s only as good as the people using it. Hiring teams must build in human checkpoints. Applicants deserve transparency about timelines, expectations, and whether anyone actually read their application.

Otherwise, we’re headed for a talent market that’s perfectly optimised for no one. And maybe, just maybe, we need to slow down the bot battle. Because at this rate, the next thing to go might be your job application, before you’ve even hit send.

The writer is a senior HR consultant and founder of Jobonics HR.