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Andrew Palmer is a long-time editor and columnist at The Economist, where he writes the widely read Bartleby column on work and life. He also hosts Boss Class, one of The Economist's most popular podcasts, whose most recent season explored generative AI in the workplace, a topic Andrew approached not just as a journalist, but as a self-described unsophisticated user determined to get smarter by doing.
In this episode, Andrew draws on his reporting and interviews with leaders across industries to offer an outside-in view of where AI adoption actually stands, and why the gap between the hype and the reality is not a sign of failure, but of how complex change really is.
In this conversation, we discuss:
• Why AI adoption faces three distinct barriers (behavioral, technical, and organizational) and why solving one without the others leaves productivity gains stranded. • Why structural reskilling frameworks (like Denmark's flexicurity model and Singapore's voucher-based lifelong learning system) offer a more credible response to AI disruption than waiting for policy to catch up. • Why Johnson & Johnson's "let a thousand flowers bloom" approach to AI experimentation produced a Pareto effect (15% of projects generating 85% of value) and what they changed as a result. • How the AI productivity boom is real at the individual level but not yet showing up in aggregate data, and why Andrew believes that gap is a question of time, not technology. • Why enlightened corporate leadership requires transparency about potential job disruption and a commitment to adjacent career planning rather than performative optimism. • What work in 2036 might look like, and why Andrew's most unsettling prediction has nothing to do with jobs, and everything to do with privacy.
Explore this conversation:
00:00 Introduction to AI and the Future of Work episode 391
01:14 AI fun fact: AI legislative speed versus technological advancement
03:51 Meet Andrew Palmer The Economist Bartleby Column Boss Class
06:14 Digital Doppelganger and AI Personality Traits
07:57 AI Adoption Barriers Behavioral Technical and Organizational
11:01 AI Impact at Work Startups vs Large Organizations
14:15 Leadership Humility and AI Uncertainty in the Workplace
17:41 AI Experimentation at Scale Lessons from Johnson and Johnson
24:26 AI vs SaaS Productivity Data and the Speed of Adoption
27:35 Balancing AI Automation with Human Meaning at Work
31:26 AI Policy Reskilling and Lifelong Learning for the Future
36:03 Work in 2036 AI Monitoring Privacy and Constant Surveillance
38:47 Who Really Controls AI and What That Means for Workers
44:08 Connect with Andrew Palmer and Boss Class The Economist
Resources:
Subscribe to the AI & The Future of Work NewsletterConnect with Andrew on LinkedInAI fun fact articleOn How Arvind Jain Is Shaping the Future of Enterprise Search • Another episode mentioned in the interview: How we can take back control from Big Tech • with Tom Wheeler, former FCC Chairman, CEO, VC, and author of Techlash.