Lead The Machine Podcast

About Lead The Machine Podcast

Lead The Machine Podcast explores the human side of AI at work. Join the conversation with today's leaders and tomorrow's about what it takes to make AI work for real people, in real organizations. leadthemachine.substack.com (https://leadthemachine.substack.com/s/lead-the-machine-podcast?utm_medium=podcast)

Publisher

Kirstin Marr is a C-level exec and board member who has helped over 100 companies adopt transformative tech and data analytics for 25 years.

Category

business · technology

Language

en

Explicit

No

First episode

24 Sept 2025

Latest episode

1 Jul 2026

Latest episodes

23 episodes in the feed.

1. 

   1 Jul 2026

   Emerging Leaders Are Already Leading AI

   Hi everyone, Want to know what AI adoption really looks like inside a company? Ask the leaders in the middle. They are close enough to strategy to understand the intent and close enough to the front lines to hear the real questions. They know where teams feel excited, where they feel overwhelmed, where the process breaks, and where AI creates actual value. I sat down with four 2026 Emerging Leaders who were handpicked by their as leaders to watch: * Lane Koetter, Client Advisor, The Jacobson Group * Kieva Kasek, Head of U.S. Operations, Simply Business * Enoch Sutherland, Director of Digital Workforce Enablement, CNA Insurance * Tian Xue, Senior Director of Data Science and Product Data Lead, SageSure These are the people helping AI move from strategy to adoption. They are fielding the detailed questions, the fears, and the concerns directly. Their advice is especially valuable for peers who want to lead from where they sit. A few themes stood out. Leaders model the behavior that creates clarity and drives adoption. When leaders use the tools, show the work, invest in training, and create space for hands-on learning, teams gain confidence. AI creates an incredible opportunity to move closer to the customer. Everyone says they want more customer-facing time. AI can help make that possible by reducing repetitive work and freeing people to focus on relationships, judgment, service, and business problems. Transparency around ethics and measurement has to be built in from the beginning. Teams need to define the role AI plays, the role people play, the outcomes they expect, and how they will measure success before pilots scale. What I loved most is that these emerging leaders are not waiting for AI strategy to come from the top. They are already shaping how adoption happens inside teams. This episode marks the official end of Lead The Machine Season 1. Season 2 podcast episodes will be back in the fall. In the meantime, I’ll be writing and reflecting on what I learned this season. Thanks for listening. — Kirstin This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit leadthemachine.substack.com (https://leadthemachine.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

2. 

   17 Jun 2026

   AI Literacy and the Future of Work

   Hi everyone, AI is changing the work. Talent strategy will determine who benefits from it. That is the real issue beneath so many conversations about AI at work. Tools can remove repetitive tasks, speed up analysis, and change how people make decisions. Leaders still need to rethink roles, skills, culture, and career development so AI creates more capability instead of more pressure. This week on Lead The Machine, I’m sharing a special dual episode with Judy Busby and Noelle Codispoti, recorded at the Emerging Leaders Conference. Judy is Senior Vice President of Executive Search and Corporate Strategy at The Jacobson Group. She brings the executive search and leadership lens to the conversation. We talk about why insurance remains such a meaningful career path, why the Emerging Leaders Conference matters for retention, and why every professional needs to think like the CEO of their own career. Noelle is Head of the Academy and Director of Emerging Talent Programs at The Risk & Insurance Education Alliance. She brings the education and emerging talent lens. We talk about AI literacy requirements, how students are learning to use AI, and why the next generation needs to understand the tool while still owning the decision. Together, these conversations land on a practical point: the human side of AI is talent strategy. AI will change tasks. It will change job scopes. It will change how early-career professionals learn the business. Leaders need to develop people with more intention. Judy talks about the skills that matter when task work shifts: emotional intelligence, critical thinking, empathy, and the ability to bring people together. Noelle talks about strategic thinking, analysis, culture, employee voice, and the importance of improving processes before layering AI on top. The future of work will reward people who use AI well and still lead with judgment, accountability, and humanity. Thanks for listening. — Kirstin This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit leadthemachine.substack.com (https://leadthemachine.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

3. 

   3 Jun 2026

   Only 13% Can Measure AI ROI. Now What?

   When only 13% of companies feel confident measuring AI ROI, you know two things: you are in a hype cycle for a new technology, and operational issues prevent progress. AM Best’s report, “Artificial Intelligence Appears to be Ready, But Most Insurers Are Not,” makes that reality hard to ignore. Sure enough, 45% of insurers cite data readiness as a top challenge. For those of us who have spent years saying “it’s all about the data,” it lands with a thud. The “told you so” moment feels tempting. It also does not help. Data readiness is a problem across every industry, and insurance carries extra complexity because of legacy, regulatory oversight, and the need to defend decisions that affect consumers. Why there’s a gap between pilots and board-ready outcomes should be interrogated, and this episode delivers insight. You’ll gain a pragmatic view at how both organizational and industry dynamics significantly impact success or failure. Two industry veterans offer a front-line view: Jeff Rieder, Partner and Head of Benchmarking at Aon, and Stefan Holzberger, Executive Vice President and Chief Operating Officer at AM Best. Jeff brings a benchmarking lens on how insurers evolve through tech cycles, where job families shift, and why executive alignment and measurement determine whether adoption sticks. Stefan brings AM Best’s lens on innovation, stability, and risk. He shares where insurers deploy AI first, why claims and back-office workflows move faster, and why underwriting adoption demands governance discipline and regulatory awareness. Leadership, culture, and talent development emerge as the common thread. AI does not move through an organization on its own. Companies need leaders who set direction, teams who build foundations, and talent strategies that expand skills instead of amplifying anxiety. It is no surprise that ROI confidence remains low when organizations still struggle to connect data readiness, governance, and adoption behavior to measurable outcomes. Three takeaways from the episode: * Treat data readiness as an operating priority, not a side project. * Define board-ready success measures early, then manage to them with leadership alignment. * Build governance and talent development in parallel so adoption scales without breaking trust. Thank you for listening. - Kirstin This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit leadthemachine.substack.com (https://leadthemachine.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

Apple Podcasts (US)

5.0 / 5

1 ratings

Contact Lead The Machine Podcast

Guest appearances

Books guests

Based on episode analysis; this does not confirm that the show is currently accepting guests.