Two thirds of business leaders face imminent disruption, yet most are reaching for AI as a forklift to move their intellectual weight for them. Scott Anthony returns to Arkaro Insights to argue this is exactly the wrong instinct.

In this follow-up to our conversation on Epic Disruptions, Scott — Clinical Professor at the Tuck School of Business and former senior partner at Innosight — explores what it takes to develop the wisdom, not just the tools, to navigate the AI-era "great unfreezing." His thesis is uncomfortable but clear: the right way is the hard way, and the muscle gets built through experience that feels much more like play than punishment.

Mark Blackwell and Scott unpack the four AI pathologies leaders need to recognise (idea bubbles, power persuasion, cognitive debt and brain fry), Ethan Mollick's cyborg-centaur-chauffeur framework for working with AI, and why dancing at the jagged frontier matters more than reading about it. They explore the difference between technical and adaptive challenges, what the US military and a few game-based pioneers like Chris Rangen already know about experiential learning, and what a "gym for the mind" might look like for a workforce no longer building cognitive muscle on the job.

The episode closes with a concrete Monday-morning move any leader can make: pick a problem your team faces repeatedly, and design a low-stakes AI simulation around it. Scott's own example took fifteen minutes to build.

About Scott D. Anthony

Scott D. Anthony is Clinical Professor of Strategy at the Tuck School of Business at Dartmouth College. He previously spent more than two decades at Innosight, the growth strategy consultancy founded by Clayton Christensen, including a period as senior partner. Thinkers50 named him the world's leading innovative thinker in 2017 and the ninth most influential management thinker in 2023. He is the author of Epic Disruptions and the forthcoming Epic Leadership.

Related Arkaro Insights episodes

• Why Companies Miss Disruption: The 3 Ghosts — Scott Anthony's first Arkaro conversation: https://arkaro.com/why-companies-miss-disruption/
• The Steam Engine Mistake Companies Are Repeating with AI — Joseph Fuller, Harvard Business School: https://arkaro.com/joseph-fuller-ai-implementation-strategy-harvard/
• AI Governance: How to Use AI Without It Going Wrong — Ray Eitel-Porter: https://arkaro.com/ray-eitel-porter-on-ai-goveranceai-governance-ray-eitel-porter/
• The Neuroscience of Collaboration: The SPACES Model — Hilary Scarlett: https://arkaro.com/neuroscience-collaboration-spaces-model/
• Slow AI: Why Rushing to Solutions Kills Creativity — Dr Vlad Glaveanu: https://arkaro.com/slow-ai-creativity-incubation/
• AI and Jobs to Be Done: Where Human Judgement Wins — Scott Burleson: https://arkaro.com/ai-jobs-to-be-done-human-judgement/

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