Subvolts take Learn to experiment with generative AI responsibly, balancing speed, quality, and risk. May 18, 2026
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Business
Learn how to experiment with generative AI responsibly, managing speed, quality, and risk effectively.
Hype note
3/5Notable

This episode features a senior editor from a major publication discussing practical AI adoption strategies for businesses.

A Need for Nuance: The Economist’s Andrew Palmer

41 min Interview Hosts: Sam Ransbotham, Shervin Khodabandeh
0:0040:40

Audio streams from MIT Sloan Management Review. Your place is remembered on this device.

From Subvolts

Summary and analysis by Subvolts editorial, AI-assisted.

Summary

Andrew Palmer, senior editor at The Economist, discusses how organizations can experiment with generative AI while managing speed, quality, and risk. He shares insights from The Economist's own AI testing with human oversight for editing and publishing efficiencies. Palmer also highlights recent conversations on skills and hiring from his Boss Class podcast.

Explained simply

This episode explains how companies can try out new AI tools safely. Andrew Palmer from The Economist shares how his team tests AI to improve work, like editing, while watching out for problems. It's useful for anyone wanting to use AI better in their job.

Why listen

This episode offers practical advice for businesses navigating generative AI adoption. Palmer's experience at The Economist provides a real-world perspective on balancing innovation with risk management. It's for business leaders and professionals interested in AI's impact on operations, skills, and hiring. The discussion on responsible AI experimentation resonates with current efforts by frontier labs like Google Gemini and Anthropic to develop safe and effective AI applications.

On the mic
  • HostSam Ransbotham
  • HostShervin Khodabandeh
  • GuestAndrew PalmerSenior Editor, The Economist
About
Key facts
  • Guest: Andrew Palmer, Senior Editor at The Economist
  • Show: Me, Myself, and AI
  • Length: 41 minutes
  • AI Testing Method: Human oversight for editing and publishing efficiencies
Show notes from MIT Sloan Management Review

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.

Published
Show
Me, Myself, and AI · MIT Sloan Management Review
Length
41 min
Companies
Google, Anthropic
Summary by
Subvolts, using an AI model (how we work). Spotted a mistake? Tell us.

Questions people ask

What is Andrew Palmer's role?
Andrew Palmer is a senior editor at The Economist. He writes for the 'Bartleby' column and hosts the Boss Class podcast.
How does The Economist test AI?
The Economist tests AI with human oversight to develop editing and publishing efficiencies.

Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to MIT Sloan Management Review.