The Only Constant

In this episode, Lasse Rindom speaks with Jeanette Bronée - global keynote speaker, author of The Self-Care Mindset, and creator of Power-Pausing™ - about how the real lever in today’s fast-moving, AI-shaped workplace isn’t faster output, but human clarity, connection and trust. AI can supercharge the hamster wheel, unless leaders redesign what the wheel is even for The difference between output and outcome, and why speed without discernment just multiplies dysfunction Agency as the real battleground, and the risk of outsourcing sovereignty to tools that feel like they “understand” you Why global connectivity creates both opportunity and mass comparison, and how that pressure shapes work, identity, and attention The uncomfortable question behind “future of work" - Who actually gets to choose what it becomes? Are we designing for and with care? Or just accelerating mindlessly? That's the question this episode explores. Do you want to know more about Jeanette Bronée? Jeanette Bronée is a Danish-born, New York–based global keynote speaker, TEDx speaker, and culture strategist who helps organizations unlock the Human Advantage in a world shaped by AI and constant change. With a background in customer experience, brand strategy, and more than two decades as a coach and consultant, she works at the intersection of human performance and organizational culture. Her career began in design and leadership, where she learned firsthand that customer experience is inseparable from employee experience. After burning out and rebuilding her life from the inside out, she dedicated her work to understanding how people function under pressure and how trust becomes the invisible infrastructure of every high-performing team. Jeanette is the creator of Power-Pausing™ and CARE OS®, practical frameworks that help leaders build self-trust, strengthen team trust, and design human-driven cultures where clarity, care, and collaboration fuel innovation. She has spoken at the United Nations and guided leaders across global companies, and she is the author of The Self-Care Mindset® published by Wiley. Her work challenges the outdated idea that productivity is the goal. Instead, she highlights that high-functioning organizations grow from the inside out when people have the tools to navigate uncertainty, recalibrate their energy, and lead with wisdom instead of speed. In a future where technology accelerates everything, Jeanette believes our competitive edge is profoundly human. She helps leaders turn trust into strategy, care into culture, and change into momentum so people and organizations can thrive, adapt, and innovate, no matter the pace of the world around them.  

In this episode, Lasse Rindom speaks with Melanie Kleemann, an experienced executive leader and transformation advisor, about why AI doesn’t fail because of technology - but because of leadership. Their conversation cuts through AI theatre and lands on the uncomfortable, practical work of leading change: Why technology never transforms the world on its own - and how AI exposes weak ownership and unclear leadership faster than any previous wave The real mistake leaders make with AI: delegating responsibility instead of providing clarity, context, and orientation Why “digital transformations fail” is the wrong question - and how time, culture, and over-promising distort the story The difference between exploring the future and leading people through uncertainty without creating anxiety Why AI adoption demands more human leadership, not less - and why clarity matters more than speed If you’re tired of AI slogans, frightened organisations, and leaders pretending to have answers they don’t - this episode is about what leadership actually looks like when the future is unclear.   Do you want to know more about Melanie Kleemann? “The job market isn’t broken,  the rules are just outdated. Melanie Kleemann rewrites them.” Melanie doesn’t help leaders find their next job: she helps them take the lead in writing their next chapter. As a former global C-level executive turned Executive Advisor, she flips the script on outdated career playbooks. Her clients don’t wait for headhunters or job ads. They build visibility, clarity, and authority to attract the opportunities they want. With 25+ years of leadership experience at brands like IKEA, Vorwerk, and P&C Group, Melanie is now one of the most trusted voices on leadership in times of transformation. She supports top-level executives during reinvention, after exits, or at key turning points, with a clear strategy that puts them back in the driver’s seat. Her approach? Strategy meets story. Business meets brand. No fluff. No wishful thinking, just bold clarity and results.

In this episode, Lasse Rindom speaks with Ewa Zborowska, Research Director at IDC and one of Europe’s leading AI analysts, known and renowned for her clarity in the face of hype. With decades of experience turning early signals into strategic foresight, she joins the podcast to discuss what’s actually, truly, really happening in enterprise AI adoption. Together, they unpack: Why everyone claims success in AI while most projects still quietly fail, and what it means to fail in AI How analyst work sits between vendor buzz and the messy truth of enterprise IT Why integration - not pilots - remains the real bottleneck to value How regulations can unlock innovation by reducing risk and enabling trust If you’re exhausted by AI theatrics and want to hear from someone who reads the footnotes and drives genuine influence on vendors and buyers -  this is your episode. Do you want to know more about Ewa Zborowska?: Ewa Zborowska is a Research Director at IDC, leading the European AI research program. She has over 20 years of experience in market analysis and consulting, focusing on how emerging technologies influence business and society. Ewa is recognized for identifying meaningful patterns in technology trends and explaining complex topics in a clear, accessible way. Her work spans cloud computing, AI, and managed services, where she brings a balanced mix of independent analysis and collaborative engagement. Her steady curiosity and thoughtful approach have helped her build strong relationships with clients and colleagues. She remains focused on future trends and the long-term impact of technology, aiming to better understand what today’s innovation will mean for the next generation.

In this episode, Lasse Rindom speaks with Laura Jeffords Greenberg, lawyer, legal tech leader and top voice, educator, and Head of the AI Legal Academy at Wordsmith. Born in Silicon Valley and now based in Europe, Laura brings a unique perspective on how legal work is adapting - and sometimes resisting - the AI wave. Their conversation dives into both the structural and cultural forces shaping the legal profession: How in-house lawyers are embracing AI to stop reviewing NDAs and start preventing risk What happens when you train a junior lawyer on AI - but they’ve never learned what “good” looks like Legal language vs. code: ambiguity, jurisdictional nuance, and why “best efforts” might not mean what you think Why Silicon Valley has always hated lawyers - and what it says about the future of regulation and power This is an episode that goes deep on AI, and on legal, to ask what governs both worlds and what will it mean when they collide.   Do you want to know more about Laura Jeffords Greeberg?: Laura Jeffords Greenberg is the Head of Wordsmith Academy, where she teaches legal teams how to use AI with clarity, confidence, and curiosity. A former in-house lawyer turned legal-tech educator, she’s trained thousands of lawyers across Europe and North America on practical, safe, everyday AI use.  She’s also recognized as a LinkedIn Top Voice, keynote speaker, and thought leader on legal tech and GenAI.   Laura focuses on bridging the gap between legal expertise and emerging technology, helping legal teams rethink workflows, develop AI literacy, and work with AI as a true colleague.

In this episode, Lasse Rindom speaks with Sune Selsbæk-Reitz, Data and AI Strategist at Demant. Sune has emerged as one of Denmark’s clearest and most skeptical voices in the AI field - not in opposition to generative AI, but in opposition to how uncritically it’s often applied.  The conversation covers a wide arc, but always circles back to human agency, historical perspective, and the need to reinstate critical thinking in digital transformation. Topics include: The fluency trap: why we mistake well-written answers for truth How LLMs amplify what we bring to them - curiosity, clarity, or laziness The forgotten value of source criticism and scientific theory in AI deployments Data strategy, governance, and what Sune calls “forever beta” De-ontological design and building systems that know what they should never do An episode for anyone who wants to understand not just what AI does, but what it does to us.   Do you want to know more about Sune Selsbæk-Reitz? Sune Selsbæk-Reitz is a Danish tech philosopher and Data & AI Strategist at Demant, a global hearing healthcare company. His work focuses on bridging data strategy, artificial intelligence, and ethics, ensuring that technology serves human dignity rather than efficiency alone. He is the creator of the Deontological Design framework, which applies Kantian moral philosophy to AI ethics, and the author of the forthcoming book "Promptism: Fluent Machines, Forgotten Questions, and the Fight for Meaning in the Age of AI." Through his writing, public speaking, and research, he explores how fluency, automation, and convenience shape human thinking and moral responsibility in the age of intelligent systems. Before joining Demant, Sune worked in the financial sector, leading strategic data initiatives and business transformation projects. He holds a master’s degree in philosophy and history, has written extensively on AI ethics and critical thinking, and is a regular speaker at conferences on responsible AI and the future of human-machine interaction.