Episode 150: Leadership in the Age of GPTs: Strategy, Ethics, and Opportunity - Michael Davies MIT

In this episode of Gaule’s Question Time, host Andrew Gaule (https://www.linkedin.com/in/andrew-gaule-aimava/) is joined by Michael Davies (linkedin.com/in/michaelamdavies) strategy consultant, MIT lecturer, and founder of Endeavour Partners, to unpack the seismic shift AI is driving across industries. With over 20 years of experience at the intersection of technology and business, Michael outlines why we're at a historic inflection point akin to the advent of the internet.

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The discussion centers on how leaders must not only adopt AI but do so humanely, ethically, and strategically. Davies emphasizes the critical need for executives to "get hands on" with generative tools like GPTs, understand their limitations, and align AI deployment with business strategy. Together, they examine the risks of AI hallucinations, the ethical responsibility of leadership, and why regulatory inertia can't be an excuse for inaction. From legal automation to healthcare triage, the conversation spans real-world use cases and explores how middle management, knowledge workers, and core business processes will be transformed. Michael and Andrew make a compelling case for rethinking not just technology implementation, but entire business models. This episode is a must-listen for anyone navigating AI's disruptive wave and seeking practical leadership frameworks in this rapidly evolving landscape.

Top 6 Questions & Summaries of Answers What is meant by the “humane adoption” of AI? Michael emphasizes the need for responsible AI use that accounts for ethics, transparency, and human impact—especially as AI decisions increasingly affect areas like healthcare and finance. What should executives be doing now with AI? They must engage directly with the tools to understand their capabilities, build strategic clarity, and restructure processes accordingly. Davies insists hands-on experimentation is non-negotiable. Will AI fundamentally change business models? Yes. Michael shares real-world examples (e.g., law firms automating document reviews) that show how AI isn’t just speeding up old processes—it’s reshaping them entirely. How do leaders balance short-term wins with long-term ethical responsibility? Leadership must be both strategic and supportive, candid about disruption while ensuring workers are treated ethically during transitions to AI-augmented workflows. Can we wait for regulation before acting? No. Regulation won’t keep pace. Organizations must adopt a proactive and principled approach, leveraging what’s already known to implement responsible AI now. Are you optimistic about AI’s future? Michael is optimistic long-term due to technology’s empowering potential and humanity’s ability to shape its direction. He’s cautious short-term due to misuse and rapid change.