
Episode #94
EP 94: Stop Having All the Answers: What Human Leadership Actually Looks Like with May Samali
In this episode I sit down with May Samali, founder of Human Leadership Lab and Fellow of the Institute of Coaching at Harvard Medical School, to explore the human capabilities that no algorithm will ever replicate. Because the skills that got us promoted, perfectionism, having all the answers, pushing through, are often the very same skills that now hold us back as leaders. We get into what it really means to lead with self-awareness, why psychological safety has been completely misunderstood, how to lead through uncertainty, and what sustainable high performance actually looks like when you stop performing and start being human. KEY TOPICS What human leadership actually means and why every person is a leader regardless of title The skills that get us promoted that become liabilities when we lead others Why psychological safety does not mean making everyone comfortable and what it actually requires How to lead through uncertainty without pretending you have answers you don't have The ABC framework of human leadership: adaptability, bravery and compassion Why wellness is a performance strategy, not a nice to have What AI will never be able to do and the human skills it is quietly eroding What May now believes about leadership that she didn't believe ten years ago ABOUT MAY May Samali is the founder and CEO of Human Leadership Lab, a Fellow of the Institute of Coaching at Harvard Medical School, and an executive coach, facilitator and researcher. Her career has spanned corporate law, venture capital, entrepreneurship and leadership development. May works with leaders and organisations to build the human capabilities needed to lead and thrive in a complex, rapidly changing world, with a particular focus on sustainable high performance and what it means to lead with self-awareness, bravery and compassion as AI continues to reshape how we work. CONNECT WITH MAY LinkedIn: May Samali Website: humanleadershiplab.com

