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 problemAI is not a single tool, it is rewiring how every function works, from marketing to legal to supply chainLeaders who struggle most with AI tend to have built their authority on hierarchy, control, and being the expert in the roomBias embedded in an algorithm sounds objective and confident, which makes it harder to challenge than a human opinionUnconventional leaders who have had to navigate systems not built for them often develop sharper instincts for spotting bias and blind spots earlySystems thinking, not narrow function expertise, is becoming the key differentiator for executivesCommon succession planning failures include handing AI ownership to a tech team instead of the business functions that actually need to changeBoards should spend far more time on fewer, higher stakes questions instead of spreading attention thin across an agendaLearning agility matters more than relevant experience, because the next generation of decisions will involve technologies that do not exist yetHiding parts of yourself as