The Answer to the AI Headache in Hiring


Deepfakes and fake job applications are slowing down recruitment. What’s the answer? People-driven Recruitment Partners.

Artificial intelligence contributes to everything from content creation to customer service, so it's no surprise that it has also made its way into the job application process. While this has opened doors for efficiency and innovation, it has also brought a growing challenge for companies looking to scale. Fake job applications, AI-written CVs, and even deepfake interviewees are now a common occurrence.

This was a Zoom story shared by an interviewer on LinkedIn:

"The candidate who aced the technical interview had one problem. He claimed to be from Poland but couldn't speak a word of Polish.

He refused when asked to simply put his hand in front of his face during the video call. That's when the recruiter realised he was interviewing a deepfake.

This just happened to a startup from Poland. Twice.

The person behind the AI mask had real coding skills - they completed technical challenges faster than any genuine candidate. But they forgot one thing: humans don't glitch when you ask them to move their hand."

What once felt like a recruiter's worst-case scenario is now becoming increasingly common, and it's slowing down hiring at a time when speed and precision are more crucial than ever.

A New Layer of Noise in the Hiring Funnel

It used to be that a hiring team's biggest concern was weeding out underqualified applicants. Now, the noise is louder and more sophisticated.

We're seeing:

  • CVs generated entirely by AI tools, written to perfection but lacking real substance or human experience.

  • Deepfake interviewees who pass the initial video screening using digitally altered visuals or voice synthesis.

  • Applicants using AI to automate responses and test answers, making it hard to assess genuine ability or engagement.

This significantly delays businesses in high-growth mode, especially in fast-moving sectors like SaaS. Instead of accelerating toward critical hires, internal teams are now distracted by verifying identities, chasing clarity, and second-guessing what's real.

Why It's Getting Worse

AI adoption isn't slowing down; it's surging. While this technology has incredible value, its misuse in recruitment is a serious concern. Tools that were designed to assist candidates are now being used to manipulate the system.

With so much digital noise and misrepresentation, internal recruitment teams are increasingly spending more time filtering than hiring. It's frustrating, time-consuming, and costly.

The Human Advantage in Recruitment

How can these issues be addressed? Real people.

At Oakstone International, the most effective way to scale teams is to get back to basics: human connection, deep conversation, and relationship-driven qualification. The way it has always been.

We speak to every candidate we put forward, often across multiple calls, platforms, and touchpoints. Whether through phone calls, LinkedIn, or email, we take the time to understand each person's real experience, achievements, and ambitions. Our team doesn't rely on keyword matching or automation. We rely on meaningful conversations and proven processes.

The result? Candidates who aren't just technically qualified on paper but are culturally aligned, achievement-driven, and genuinely motivated by the opportunities in front of them.

We never put forward people to our partners without these qualifications.

Why This Matters More Than Ever

Authenticity is now a competitive advantage. For companies trying to scale confidently, working with a people-first recruitment partner like Oakstone means bypassing the noise and reaching real, qualified talent faster.

It's not about rejecting technology. It's about balancing it with what can't be replicated: human judgment, insight, and experience.

If you're building a GTM team and are tired of wasting time on unqualified, AI-generated applications, reach out to discuss your requirements today.


  • Yes, deepfake candidates are an emerging and increasingly real risk, particularly in remote hiring environments.

    With advancements in AI, candidates can manipulate video or audio to present a different identity or mask inconsistencies. While still relatively uncommon, instances are growing, particularly in technical roles where remote assessments are standard.

    For hiring teams, this introduces a new layer of due diligence, requiring additional verification steps and more rigorous candidate validation.

  • Hiring is becoming more difficult because AI has lowered the barrier to entry for applications, increasing volume without improving quality.

    Instead of reviewing a manageable number of relevant candidates, hiring teams are now dealing with high volumes of highly optimised but often low-authenticity applications. This creates more work, not less.

    The result is a shift from selection to verification, where teams must spend time confirming what is real before making hiring decisions.

  • As AI increases noise and reduces trust in the hiring process, human judgment becomes a key differentiator.

    Candidates are no longer just being assessed on what they submit, but on how they communicate, think, and engage in real time. These qualities cannot be reliably evaluated through automation alone.

    For companies, this means that investing in relationship-driven, conversation-led hiring processes leads to better hiring outcomes and reduces the risk of poor-fit hires.

Oakstone International

Oakstone International is a SaaS and Fintech specialist executive search firm.

https://www.oakstone.co.uk/
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