Going Big! with Kevin Gentry
Episode: Going Big with Andy Kessler: Productivity, Profits, and Innovation in the Age of Artificial Intelligence
Date: March 9, 2026
Guest: Andy Kessler (Author, Wall Street Journal Columnist)
Host: Kevin Gentry
Episode Overview
In this episode, host Kevin Gentry speaks with renowned author and Wall Street Journal columnist Andy Kessler about what it means to “go big” in the era of artificial intelligence. The conversation explores how innovation, productivity, and an entrepreneurial mindset are converging to create massive new opportunities, the future of work and learning, and how individuals and countries can keep pace amidst rapid change. Kessler draws on his eclectic career journey—from engineer to investor to media commentator—and advances a message of agency, adaptability, and optimism.
Key Themes & Discussion Points
The Recipe for “Going Big” Today
[03:38]
- Three Essentials:
- Productivity: Doing more with less by being both efficient and effective.
- Profits: Not evil, but a “miracle measure” of how society benefits.
- Big Trends: “Find big waves to surf. It makes it so much easier.” (Kessler)
- Quote:
“Generating profits is how you...make the planet better, do something important, give back. It's one of the most misunderstood things out there.” — Andy Kessler [04:45]
The Acceleration of Change & Technology’s Unpredictability
[06:06]
- Comparing today's AI revolution to the mobile/smartphone boom: what seemed crazy in 2010 is now obvious.
- Early adopters benefit most; skepticism often foreshadows widespread adoption.
- Quote:
“The more incredulous...the more argument that you get on new technology, the more likely it's going to turn into something big.” — Andy Kessler [07:36]
“Seeing the Signposts in the Fog” — How to Anticipate Big Trends
[09:34]
- Technology becomes cheaper each year (30% cost reduction is Moore’s Law).
- Example: Automated cars, driverless tech as predictable if you “squint enough” at trends.
- Analogy: Navigating in the fog with visible signposts is like reading emerging tech signals.
- Quote:
“Most people can’t see in the fog, but there are signs in the fog...if you squint enough, you could see the future.” — Andy Kessler [10:31]
The Democratization of Technology—From Coding to Everyday Problem Solving
[13:20]
- Tools like spreadsheets, and now AI coding assistants, expand who can innovate.
- Even if jobs are disrupted, everyone can now create or analyze—what happened to analysts with spreadsheets is now hitting coders with AI.
Andy Kessler’s Personal Journey—Career Adaptability in Practice
[14:22]
- No 30-year plan: Kessler navigated from engineering, to Wall Street, to investing, to writing by following what interested him.
- Importance of being opportunistic and learning by exposure and curiosity.
- Quote:
“I liken my career to playing pinball, just bouncing off from one side to the other...I’d followed my nose.” — Andy Kessler [15:43]
The Power of Agency and Curiosity
[19:33]
- AI “levels the playing field”—you don’t need to be a deep expert to solve problems.
- Agency: Identifying problems and using available tools to build solutions.
- Examples:
- 18-year-old builds a calorie-counting app using AI tools [20:41]
- Scheduling app for a barbershop created by an individual using AI [23:49]
- Quote:
“You don’t have to know all the technology, but you can use tools to come up with the solution. That’s the cool thing about agency.” — Andy Kessler [21:41]
What High Agency Means, and Who Will Thrive
[23:49]
- High-agency people don’t wait for permission or for big companies—they solve specific, local problems with widely available tools.
- Democratization: Generative AI puts the world’s knowledge and abilities at everyone’s fingertips.
Practical Uses and Limitations of AI
[27:20]
- AI as a productivity powerhouse; immediate uses include summarizing, drafting, customer service, initial diagnostics in medicine, and legal assistance.
- AI does not “think”; it imitates and must be tested.
- Quote:
“Apple put out a paper last year: This thing doesn’t think. It imitates thinking, but it doesn’t think and it hallucinates.” — Andy Kessler [28:01]
Skepticism About Pessimism or Utopianism (Chill Out About the Hysteria!)
[33:46]
- Rejects both AI dystopia and utopia: neither mass job losses nor universal leisure is likely.
- Every disruptive tech cycle has birthed more jobs and opportunity, not less.
- Quote:
“Jobs are destroyed, but millions of new jobs are going to be created. As has happened every cycle, this time it’s different—people say. No, it’s never different.” — Andy Kessler [37:55]
America, Competition and Innovation Globally
[38:59]
- U.S. stays ahead due to strong property rights, competition, and entrepreneurial culture.
- Contrast: Europe becomes overregulated and risk-averse; China limits competition via restrictions.
- San Francisco’s AI boom shows value in ecosystem density.
- Quote:
“In the US you don’t need permission to innovate. You just innovate.” — Andy Kessler [40:51]
The Coming Disruption of Education
[44:42]
- Anticipates AI-driven transformation in education, breaking monopolies and empowering parents/learners.
- Examples: Khan Academy, future self-paced, AI-powered learning tools.
Notable Quotes & Memorable Moments
- On personal growth: “I still don’t know what I want to do when I grow up. I stay loose.” — Andy Kessler [47:07]
- On success advice: “Learn how to learn, right? ...Don’t go narrow. Stay wide. Learn everything.” — Andy Kessler [52:17]
- On curiosity: “One of the tricks I used to do ... I’d have friends ... I’ll pick you up at your office. Show me around ... and what problem are they solving? ... and I would learn, like by osmosis.” — Andy Kessler [52:51]
- On skepticism and optimism: “Don’t stay skeptical, but don’t have static thinking, have dynamic thinking. Think of how the world will change.” — Andy Kessler [50:39]
Timestamps for Important Segments
- 03:38 — What it means to go big today: productivity, profits, big trends
- 06:06 — The speed of technological change and the mobile revolution analogy
- 09:34 — How to anticipate trends and the elasticity principle
- 13:20 — Democratization of technology and coding
- 14:22 — Kessler’s career journey and lessons in adaptability
- 19:33 — The importance of agency and practical AI examples
- 23:49 — Definition and examples of high agency
- 27:20 — Practical and professional implications of AI, present and future
- 33:46 — Rejecting fear and hype: how to think rationally about AI’s impact
- 38:59 — America, competition, and the global innovation race
- 44:42 — The coming disruption of education
- 47:06 — Advice to a younger self and to listeners for the future
- 52:17 — Core advice: wide curiosity and learning how to learn
Final Takeaways
- The future favors the curious, adaptive, and high-agency over the narrowly credentialed.
- Recognize trends early and move quickly to surf the next big wave.
- AI and new technologies will democratize problem-solving, disrupt old professions, and create unprecedented opportunities for those willing to learn and adapt.
- Both individual and national success rest on a culture of innovation, openness, competition, and ongoing learning.
- “Follow your nose. Have curiosity. Follow your nose into places that may not have taken it in in regular, everyday life.” — Andy Kessler [53:35]
