What does disruption really demand of leaders? | Impact Podcast скачать в хорошем качестве

What does disruption really demand of leaders? | Impact Podcast

Disruption and innovation dominate today’s business conversations. But when the stakes include climate change and artificial intelligence, what do these ideas truly demand of leaders? In this episode of Dialogue with the Dean, Julian Birkinshaw sits down with Michael Raynor, MBA ’94 – Ivey Associate Professor, bestselling author, and respected authority on strategy and innovation – for a candid and thought-provoking discussion on how disruption must be understood and led in this moment. Together, they revisit the promise – and limitations – of disruptive innovation and reflect on Raynor’s collaboration with the late Clayton Christensen. The conversation then turns to two powerful forces reshaping business: greenhouse gas emissions and artificial intelligence. Raynor urges leaders to approach decarbonization not as a talking point but as a strategic reality, and to move beyond experimentation with AI toward focused, high-impact applications, particularly in medicine. Provocative and pragmatic, this episode challenges leaders to rethink strategy in an era where disruption isn’t theoretical – it’s already underway. To learn more about the research discussed in this episode, please visit: Using Early Gait Data From a Smart-Enabled Total Knee Arthroplasty to Identify Patient Function and Activity at 90 Days Postoperative https://www.arthroplastyjournal.org/a... Scope 3 decarbonization through environmental attribute certificates https://www.tandfonline.com/doi/full/... Net Zero Is Dead. Long Live Net Zero https://iveybusinessjournal.com/net-z... What Is Disruptive Innovation? https://hbr.org/2015/12/what-is-disru... 00:00 Intro 01:15 The 25-year internship 02:10 From Christensen to ChatGPT 07:17 Net zero is dead. Long live net zero 09:25 The problem hidden in plain sight 14:32 A “credit” to the system 19:38 Hope isn’t a climate strategy 21:00 The Decarbonizer's Dilemma 23:08 When algorithms meet medicine 30:27 Why cases beat codes