Is AI making better hiring decisions than humans? Or is human judgment still king?

In this episode of Hire Learning, Oz Rashid sits down with Martin Robatti, a top HR and engineering leader at BNY Mellon, to break down how AI is transforming talent acquisition, why data-driven hiring beats gut instinct, and the hidden cost of bad hiring decisions.

🚀 Key topics include:

✅ Can AI outperform human intuition in hiring?

✅ How BNY Mellon is using AI to revolutionize HR

✅ The biggest hiring mistakes (and how to fix them)

🎧 Timestamps:

00:00 – Intro: AI vs. human judgment in hiring – who wins?

02:45 – Martin Brull’s journey: From Citi to BNY Mellon

06:30 – New York vs. Florida work culture: The real differences

10:15 – How BNY Mellon is leveraging AI in talent acquisition

15:50 – The true cost of bad hiring decisions (and how to avoid them)

20:35 – Why AI-driven interview standardization is the future

25:10 – How bias creeps into hiring decisions – even at the top

30:40 – AI’s role in analyzing engagement surveys

36:15 – The biggest hiring mistakes managers make

42:00 – The future of work: Why reskilling & upskilling are non-negotiable

48:20 – Martin’s hiring philosophy: Internal growth vs. external hiring

53:10 – Speed round: Dogs, Peruvian food, and leadership lessons

58:45 – Martin’s #1 career advice: “Don’t be afraid. Just jump.”

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