The Measurable
Impact of AI in Hiring

In a groundbreaking collaboration between PSG Global Solutions and Dr. Brian Jabarian, economist at the University of Chicago Booth School of Business, new research reveals how AI-driven recruiting is redefining hiring outcomes. The large-scale field study evaluated PSG's Anna AI digital recruiter across more than 70,000 job interviews and found strong evidence that AI-led interviews outperform traditional methods across nearly every key hiring metric.

This first-of-its-kind study offers a data-backed look into how Anna AI can enhance fairness, efficiency, and performance in talent acquisition - while preserving the human touch where it matters most.

Key Findings from the Study [1]
12% more job offers

Candidates who interviewed with Anna had a 9.52% job offer rate, compared to 8.51% in human-led interviews.

18% more job starters

6.18% of Anna-interviewed candidates started their roles, versus 5.22% from human interviews.

17% higher retention

One month after starting, hires via Anna were more likely to still be employed.

More structured interviews

Anna covered 9 median topics per session, compared to 5 in human-led interviews.

Stronger candidate engagement

Only 19% of Anna interviews were flagged for low engagement, versus 33% for humans.

Cost-effective and scalable

Anna reached break-even at just 8,500 interviews.

Lower gender discrimination reports

Just 3.3% of Anna-led interviews included reports of gender bias, nearly half the rate of human-led interviews.

Preference for AI

Given a choice, 78% of applicants opted for the AI recruiter.

Higher Evaluations

Recruiters rated applicants more positively in AI-led interviews.

What This Means for the Future of Recruiting

PSG's Anna AI recruiter isn't just a tool - it's a transformation. With 24/7 availability, deep natural language understanding, and the ability to autonomously conduct interviews and assessments, Anna is helping employers:

Increase in hires per person

Speed up
the hiring
process

Increase in hires per person

Deliver more
consistent candidate
experiences

Increase in hires per person

Reduce bias
and improve
fairness

Increase in hires per person

Lower
operational
costs

Increase in hires per person

Enable global,
round-the-clock
recruitment

This research confirms that AI-driven recruiting is not only more efficient - it's more effective

Meet the Researcher:
Dr. Brian Jabarian

Dr. Brian Jabarian is an economist at the University of Chicago Booth School of Business, where he leads cutting-edge research on the intersection of AI and labor markets.

He spearheads large-scale, theory-driven randomized experiments that analyze how automation and AI augmentation reshape productivity, workforce strategies, and value chain operations across industries.

Dr. Jabarian is:
Howard and Nancy Marks Fellow at Chicago Booth
Affiliated with CDR, CAAI, J-PAL, and IGL
A recognized thought leader invited to speak at Stanford, Harvard Business School, MIT, IMF, World Bank, and major AI research labs
Published in journals such as Nature Human Behaviour
He holds a Ph.D. in Economics from the Paris School of Economics (2023) and has received grants from Google Cloud, Effective Ventures US, the Swiss National Science Foundation, Chicago Booth Center for Applied AI, and the Becker Friedman Institute.

Press & Media

Read the full press release to explore how PSG and the University of Chicago Booth School of Business are shaping the future of hiring through AI innovation.

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1 Dr Brian Jabarian is the Howard and Nancy Marks Fellow, a Roman Family Center for Research Principal Researcher, and a Center for Applied for Applied Intelligence Research Affiliate at The University of Chicago Booth Business School. Study's citation: Jabarian Brian and Luca Henkel, 2025. Voice AI in Firms: A Natural Field Experiment on Automated Job Interviews