Explained: Why are AI Agents Replacing Human Recruiters?

AI voice agents are transforming the recruitment landscape by outperforming human recruiters in a substantial test involving 67,000 job interviews.

This development is sending ripples through the industry.

Conducted by researchers from the University of Chicago Booth School of Business and Erasmus University Rotterdam, the study demonstrated that AI-led interviews resulted in 12% more job offers and helped retain employees 17% longer.

For companies grappling with recruitment expenses and employee turnover, this presents a valuable opportunity.

The trial focused on entry-level customer service roles in the Philippines, where job seekers were randomly assigned to interviews with AI voice agents or human recruiters, with some candidates allowed to choose.

From the start, it was communicated that they were engaging with a bot.

Human input was still critical in making the final hiring decisions based on interview performances and standardised tests.

However, the AI systems excelled in consistency and efficiency, adhering to scripts, effectively covering more topics and posing pertinent questions.

Human fatigue becomes a limiting factor in high-volume interview scenarios.

“The AI spoke less and prompted the interviewee to speak more,” says Brian Jabarian, one of the study’s authors at Booth’s Roman Family Center for Decision Research, where he examines how technology is changing workplace productivity.

The study offers some of the hardest data yet on whether corporate AI investments actually pay off, yet not everything went smoothly.

The problems from the study and what they imply 

Despite convincing performance, technical issues affected 7% of the AI interviews and 5% of applicants chose to disconnect rather than engage with a machine.

Unsurprisingly, given the current constraints of voice technology, candidates found AI conversations less "natural" than those with humans.

However, for those who persisted, 70% rated their AI interview positively compared to about half who interacted with human interviewers – a revelation that surprised many seasoned recruiters who anticipated the technology to underperform.

Preference leanings were evident as nearly 80% of candidates opted for AI interviews, mainly due to the flexibility of scheduling interactions at their convenience.

The study also observed an overall favourable perception towards AI among candidates, which likely influenced this trend.

The results astonished the researchers, given that social interaction has long been perceived as inherently human and machines historically struggle despite improvements in natural language processing.

“I was quite surprised the AI voice agent was as good as it was at collecting data through social interaction,” Brian says.

Why short term success may not lead to long term success

Nonetheless, better performance does not always equate to advantageous business outcomes.

While AI-led interviews could be organised more swiftly, human recruiters took twice as long to analyse the outputs, thereby nullifying the efficiency benefits.

This aligns with findings from MIT indicating that 95% of enterprise AI projects did not produce measurable financial returns, despite significant investments.

The economic viability of AI recruitment tools hinges on the specific context.

Smaller firms in low-wage regions might struggle to justify the investment, whereas larger corporations dealing with numerous applications in high-cost labour markets could realise substantial savings.

The quality of the hires is paramount.

If AI can identify employees who have a longer tenure, this considerably reduces turnover costs, especially pertinent in sectors like call centres where turnover is notably high.

"We have to move from the ‘possible’ discourse to the hard-data discourse, so we don’t lose our rationality,” Brian says.