A Need for Nuance: The Economist’s Andrew Palmer

A Need for Nuance: The Economist’s Andrew Palmer

Author: MIT Sloan Management Review May 19, 2026 Duration: 40:40
On today’s episode, Andrew Palmer, senior editor at The Economist, describes how organizations can experiment with generative AI while balancing speed, quality, and risk. At his own organization, Andrew and others test AI with human oversight to develop editing and publishing efficiencies. As the host of The Economist’s Boss Class podcast, Andrew speaks with leaders as well as early-career professionals, and highlights interesting insights from recent conversations around skills and hiring. Read the episode transcript here. Guest bio: A senior editor at The Economist, Andrew Palmer writes about the workplace for the “Bartleby” column and hosts Boss Class, a limited-season podcast about management. His previous roles at the publication, which he joined in 2007, include Britain editor, executive editor, business-affairs editor, head of the data team, Americas editor, finance editor, and banking correspondent. Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials. ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.

Ever wondered how some organizations manage to turn artificial intelligence from a buzzword into a genuine engine for growth, while others struggle to move beyond the pilot phase? Me, Myself, and AI, a production from MIT Sloan Management Review, goes straight to the source to find out. Instead of theoretical discussions, this podcast features candid conversations with the people who are actually building and implementing AI systems at scale. You'll hear directly from leaders at prominent companies like YouTube, Cisco, and Hugging Face as they recount their journeys-not just the polished successes, but the real-world challenges, strategic decisions, and sometimes surprising lessons learned along the way. Each episode digs into the practicalities of creating measurable business value, cutting through the noise to reveal what effective AI leadership and integration truly look like. It’s a focused exploration for anyone in technology, business, or education who wants to understand the human and operational stories behind the algorithms. Tune in for an unvarnished look at the future being built, one practical application at a time.
Author: Language: English Episodes: 50

Me, Myself, and AI
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