What AI Is Doing To Leadership with Liat Ben-Zur

A leader who looks safe on paper might be the riskiest hire you make in the AI era. That's the paradox at the center of this conversation. I sit down with Liat Ben-Zur, a longtime technology executive who has led through four major shifts, the internet, mobile, IoT, and now generative AI, at companies including Qualcomm, Philips, and Microsoft. Liat is also the author of a new book on leadership and bias, and we get into why the very experience that used to make someone a safe executive hire can now be the thing holding them back. We talk about why AI is not just a tool but something that rewires org design and leadership itself, why some highly accomplished executives freeze when their old playbooks stop working, and why leaders who have had to operate without a map, often because they never quite fit the traditional mold, are proving to be the ones adapting best. Liat gets candid about her own career, including hiding a core part of her identity for years to survive in rooms where she was often the only woman, and what she learned about leadership once she stopped hiding. We also cover why bias hidden inside an algorithm is more dangerous than bias spoken out loud, what boards get wrong about succession planning during AI transformation, and why asking better questions matters more than having the right answer. **Key takeaways:** - Experience can become a liability in the AI era if it means applying yesterday's playbook to a fundamentally different problem - AI is not a single tool, it is rewiring how every function works, from marketing to legal to supply chain - Leaders who struggle most with AI tend to have built their authority on hierarchy, control, and being the expert in the room - Bias embedded in an algorithm sounds objective and confident, which makes it harder to challenge than a human opinion - Unconventional leaders who have had to navigate systems not built for them often develop sharper instincts for spotting bias and blind spots early - Systems thinking, not narrow function expertise, is becoming the key differentiator for executives - Common succession planning failures include handing AI ownership to a tech team instead of the business functions that actually need to change - Boards should spend far more time on fewer, higher stakes questions instead of spreading attention thin across an agenda - Learning agility matters more than relevant experience, because the next generation of decisions will involve technologies that do not exist yet - Hiding parts of yourself as a leader costs you the deeper connections that make you more effective, not less **Timestamps:** 00:00 Cold open: the safe hire paradox 01:12 Welcome, Liat Ben-Zur 01:26 Is AI hype real or overblown 04:00 Why AI changes every function, not just tech 05:19 Boards pulling back on AI spend 08:25 Why she wrote The Bias Advantage 09:55 Leaders who adapt well vs freeze 12:47 How AI changes who rises to leadership 14:54 Defining the unconventional leader 15:59 Why algorithmic bias is harder to challenge 22:07 Qualcomm, Philips, Microsoft and never fitting in 23:39 Hiding her identity to survive in the room 25:43 The fish that cannot see their own water 26:53 The new differentiator: systems thinking 32:02 Mistakes in AI era succession planning 40:11 Speed round begins 40:41 Worst leadership advice she has received 42:05 Best career advice she has received 43:11 Advice to her 25 year old self 48:24 What a good career really means Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/ Email the show here: jason@fithappens.fm