AI is reshaping recruitment – but not replacing recruiters

This is the key message from two business leaders operating at very different scales: Emma Davison, CEO of Virtual Headquarters and Alan Price, global head of talent acquisition at Deel. Together, their experiences paint a clear picture of what “good” looks like when it comes to AI in hiring – and where HR should lean in, not step back.

From operator to strategist: the new recruiter profile

For large, fast-scaling organisations, AI is forcing a fundamental shift in the recruiter’s role.

To put this in perspective, Deel received 1.3 million applications last year. To keep pace, Price says recruiters can no longer behave as “operators of repetitive tasks” – reading resumes, scheduling interviews, taking notes.

Instead, he believes AI has “come to require [recruiters] to evolve”.

According to Price, the modern recruiter must become a strategist and context analyst – someone who knows how to ask AI the right questions and interpret the answers in context. Mastery of prompting, he argues, is becoming as critical as mastery of interviewing.

“Instead of acting as an operator of repetitive tasks, the recruiter becomes a strategist, a context analyst, someone who knows how to ask the AI good questions and make decisions based on the answers,” he said.

For HR leaders, the takeaway is clear: AI is not replacing recruiters – it is raising the bar on what recruitment as a discipline looks like.

AI as a noise filter: the SME perspective

While Deel is operating at global scale, Davison sees a similar pattern in a much smaller environment.

For SMEs, the value of AI in recruitment is less about sophistication and more about survival.

“For many roles we advertise, we receive hundreds of applications,” she explained. “AI has been an effective tool in helping us quickly filter out misaligned applications, which is particularly valuable when you don’t have a dedicated HR team and every hour counts.”

In her view, AI’s greatest strength is its ability to “reduce noise”.

“It doesn’t replace judgement, but it sharpens it,” Davison said. “By handling the initial sorting, it allows leaders to spend less time sifting and more time thinking deliberately about who they are bringing into the business and why.”

AI is also levelling the playing field for smaller organisations. Davison notes that structured, data-informed approaches to assessing skills and fit were once the domain of enterprises with deep HR capability. Now, tools can guide founders through better questions, clearer criteria and more consistent processes.

But there is a flip side: as candidates increasingly use AI to generate resumes and cover letters, “it has become harder to assess true capability on paper alone”, she warned. This is where values, attitude and lived experience become non‑negotiable signals.

“AI can polish language, but it can’t replicate judgement, curiosity, resilience or how someone shows up over time,” she says.

Augmented, not automated: why HR’s human edge still matters

Both leaders are aligned on one critical point: the future of recruitment is not automated – it’s augmented.

Price argued that AI should free recruiters to focus on “what truly matters: human contact, subjective evaluation, and care for the candidate experience.” By automating scheduling, screening and documentation, AI can actually make recruitment more human – not less.

“With more efficient screening and better-documented interviews, candidates receive faster responses, get clearer feedback, and face less silence from the other side,” he said. “A well-conducted selection process communicates more than any employer branding campaign.”

Davison shared a similar philosophy. In her business, AI is predominantly used at the front end – to filter and structure applications – but the core of the process remains deeply human and deliberately personal.

The Virtual Headquarters hiring journey starts with a written pre‑interview reflection, designed to understand how candidates think, what they value and how seriously they take the opportunity. There are no right or wrong answers, but the effort and authenticity are telling.

Candidates who progress move through two structured interviews, followed by an intentionally informal final step: a walk from the office to a local venue for a drink or coffee.

“It’s a chance to see how someone shows up outside a formal setting,” Davison said. “How they treat staff, how they handle unexpected moments, and how they carry themselves when the script is gone. You learn a great deal about someone in moments that aren’t rehearsed.”

The process unfolds over several weeks by design. “We invest time because the role matters,” she says. “Rushed hiring often misses what truly matters.”

Using AI to challenge – not obey – hiring briefs

Beyond efficiency, Price believes one of the most powerful but underused impacts of AI is its ability to reflect insights back to the business.

With AI‑driven analysis of candidate pipelines, talent teams can now challenge hiring managers with data instead of relying on gut feel or quiet frustration.

Price gives a typical scenario: “You’ve had 400 applicants for this role, and not a single one meets all of your must-have requirements. We need to refactor the job description or adjust expectations.”

Rather than silently filtering out candidates based on impossible criteria, AI allows recruitment teams to push helpful, data‑backed feedback upstream. That can lead to more realistic, inclusive job descriptions from the outset and stronger shortlists, faster.

The feedback loop works both ways. If requirements are too broad and too many candidates are flooding in, AI can flag this too, prompting HR and hiring managers to tighten criteria and sharpen the profile of what “good” looks like.

For HR leaders, this reframes AI as a strategic advisor – a tool that not only screens candidates, but also educates the business on market reality, skill availability and the implications of its own demands.

Guardrails for fairness, inclusion and soft skills

As AI becomes embedded in recruitment, HR leaders face growing scrutiny over fairness, transparency and unintended bias – especially for candidates who may not look ideal “on paper” but are strong cultural and behavioural fits.

Price stressed that the question is no longer whether to use AI, but how to use it intentionally. He argues HR has a critical role to play in advocating for technology that “strengthens the human connection,” not erodes it.

Implemented thoughtfully, he said, AI can:

• Ensure candidates aren’t accidentally overlooked by surfacing strong matches across large, global pools based on skills and experience.

• Apply consistent criteria across applicants, helping reduce some forms of human bias.

• Use robust analytics to spot recruitment trends by market, informing where to search for talent and how to navigate complex visa or relocation environments.

“Although you might not let AI make the final call, you might find some top talent that otherwise wouldn’t make your shortlist,” Price noted.

Davison, meanwhile, cautioned that over‑reliance on AI risks “optimising for efficiency at the expense of judgement, culture and long‑term fit.” The danger, she said, is recruitment becoming purely transactional.

Her answer is to double down on values, attitude and behavioural assessment – the elements AI can’t reliably replicate.

“Culture, attitude and aptitude matter more to me than a perfect résumé,” she said. “The right hire accelerates a business. The wrong hire slows everything down.”

What HR leaders should do next

Taken together, the experiences of Deel and Virtual Headquarters offer a practical playbook for HR leaders:

• Redesign recruiter roles around strategy, not administration. Invest in prompting skills, data literacy and consulting capability – not just tools.

• Use AI as a noise filter, not a decision‑maker. Let technology clear the volume so humans can focus on judgement, culture and long‑term fit.

• Build structured, human‑centric processes on top of AI. Combine automated screening with reflections, multi‑stage interviews and informal interactions that reveal how people really think and behave.

• Turn AI insights into business feedback. Use data from applications and hiring funnels to educate leaders, reset expectations and refine role design.

• Guard the ‘human edge’. Treat AI as an enabler of better conversations, better questions and better decisions – not a shortcut around them.

As Price puts it: “The future of hiring isn’t automated – it’s augmented.” The organisations that win in this new landscape will be those whose HR leaders embrace AI boldly, but refuse to outsource what only humans can do.