The James Altucher Show

If AI lets everyone publish a book, what is left to compete on once supply is way up and demand is only slightly up?

A Note from James:

One weekend I tried to write a vampire novel with AI.
And by the end, I felt like I was rewriting almost everything it gave me.
So eventually I thought: why did I even use AI?
AI is very good at giving you the average answer.
And for a lot of things, the average answer is exactly what you want.
But with writing, the average answer usually isn’t the interesting answer.
Chandler Bolt runs selfpublishing.com. They’ve helped publish thousands of books.
And one of the examples he gave me was a book for mobile notaries.
Mobile notaries.
When they published it, even Chandler thought, “Who is going to read this?”
It has something like 1,600 reviews on Amazon.
That immediately got me thinking about what the moat is now.
Because AI can help almost anyone create a book.
But if I write a book on intimacy, somebody can reasonably say, “James, you’re on your third marriage. Why am I listening to you?”
No moat.
Then Chandler introduced me to something I’d somehow never heard before after writing roughly 25 books:
The viral coefficient.
How many additional book sales does one reader create?
And why would you ever send somebody two copies of your book instead of one?
For years, I’ve argued that self-publishing can outperform traditional publishing.
Chandler corrected me a little.
The average self-published book doesn’t necessarily outperform the average traditionally published book.
But the authors making serious money?
A lot of them are self-published.
So we talked about books, AI, niche markets, distribution, audiobooks, Amazon, how people discover information now, and what still makes a book worth writing when anybody can generate 50,000 words before lunch.
Here’s Chandler Bolt.

What You’ll Learn:
Why Chandler says book demand is holding up even as the number of books being published explodes.
Why highly specific nonfiction can outperform broad books on leadership, success, or self-help.
How AI changes the economics of writing without eliminating the need for expertise and originality.
Why trust, discoverability, and distribution become stronger moats as content gets easier to produce.
What Chandler means by a book’s viral coefficient and how authors can increase it.
Why changing a reader’s behavior may be more valuable than simply teaching them information.
How entrepreneurs can use a book to generate far more value than its royalties.
Why Chandler believes books still have a role when AI can answer almost any surface-level question instantly.

Timestamped Chapters:

[02:47] A Note from James
James introduces his failed experiment writing a vampire novel with AI, Chandler’s niche-book strategy, and the concept of the viral coefficient.
[03:42] What Changed in Publishing This Year?
Chandler gives James an update on selfpublishing.com and explains how AI is changing both publishing and customer acquisition.
[04:57] People Are Still Buying Books
Chandler argues that demand remains resilient; the bigger change is the enormous increase in supply.
[06:04] The Problem With Generic Nonfiction
James and Chandler agree that another broad book about success or leadership has a difficult time competing unless it offers something genuinely different.
[07:32] What Kinds of Self-Published Books Are Working?
Chandler describes the strength of niche prescriptive nonfiction, fiction’s greater upside and risk, and continued audiobook growth.
[08:48] The Mobile Notary Book That Took Off
Sign & Thrive becomes Chandler’s example of how surprisingly narrow subjects can support successful books.
[09:04] AI Books, Intimacy, and Narrow Niches
Chandler gives examples ranging from AI leadership to relationships, real estate, mobile homes, and self-storage.
[11:16] Become the King of a Small Category
Instead of competing in a giant category, Chandler explains why an author can use a specific book to own a much smaller niche.
[11:42] What Does selfpublishing.com Actually Do?
Chandler explains the company’s coaching, production, publishing, marketing, and ghostwriting model.
[12:55] Is Self-Publishing Still the Backup Plan?
James and Chandler trace the shift from publishing-industry gatekeepers toward direct access to readers.
[13:51] Who Actually Makes More Money?
Chandler separates average performance from the economics available to successful self-published authors who retain more of the upside.
[15:42] The Economics of Traditional Publishing
James remembers his experience publishing Skip the Line and explains why advances often matter more to authors than royalties.
[16:14] Could AI Write The Six Pillars of Intimacy?
James asks whether a capable model could research and assemble most of a prescriptive nonfiction book.
[17:01] Readers Ultimately Care Whether the Book Is Good
Chandler argues that AI assistance itself may matter less over time than whether the finished product actually delivers value.
[18:17] The Moat Has Moved
If everybody can create the product, James argues, competitive advantage shifts toward trust, reputation, expertise, and distribution.
[19:28] Discoverability vs. Distribution
Chandler separates getting found when someone is searching from proactively getting the book in front of readers.
[20:26] The Viral Coefficient of a Book
Chandler introduces the idea that every reader can potentially generate additional readers.
[21:00] How Do You Make a Book More Viral?
Reviews, participation, challenges, team purchases, and social behavior all become mechanisms for turning one reader into more than one sale.
[22:30] How James Launched Choose Yourself
James remembers refunding early readers who could demonstrate they had actually read the book, helping generate attention and reviews.
[24:37] Behavior Change Is the Best Marketing
Chandler uses The Miracle Morning to explain why people naturally talk about a book when it changes something they actually do.
[26:06] Why You Should Send Two Copies
Chandler recommends giving prospects or customers two books with one instruction: pass the second copy to somebody who needs it.
[27:10] What Can a Publishing Company Do That AI Can’t?
Chandler argues that packaging, positioning, coaching, distribution, and understanding what readers want remain critical.
[28:23] The Book Is the Front End, Not the Business
A business book can generate consulting, training, speaking, leads, investment opportunities, and authority worth far more than its royalties.
[29:16] Why James Thinks AI Writing Will Plateau
James explains his theory that generative models are excellent at finding common patterns but struggle when creative work demands unusual choices.
[31:12] The AI Vampire Novel Experiment
James describes spending a weekend trying to co-write fiction with AI—and eventually realizing he was rewriting nearly everything himself.
[32:21] Creativity Requires Bold Inputs
Chandler argues that averaging the preferences of many writers can remove exactly the qualities that make an individual voice distinctive.
[35:13] What About Publishing 1,000 AI Books?
James asks whether enormous AI-generated output can still exploit small publishing niches.
[35:38] AI Publishing Arbitrage
Chandler compares the strategy with an older model built around cheap ghostwriters and algorithmic arbitrage—and questions its durability.
[36:46] Will People Still Read Books?
James asks whether websites, streaming, social media, podcasts, and now AI will eventually erode long-form reading.
[37:16] AI Is Wide; Books Go Deep
Chandler argues that instant answers satisfy surface-level curiosity but do not necessarily replace sustained immersion in a subject.
[38:11] Why Audiobooks Keep Expanding the Market
They discuss how easier access through services like Spotify can bring audiobook listening to people who never developed an Audible habit.
[39:30] From $10 Million to $100 Million
James asks Chandler how he plans to grow selfpublishing.com by another order of magnitude.
[40:03] When AI Starts Taking Your Search Traffic
Chandler explains how customers who once arrived through Google increasingly ask AI for an answer without visiting a website.
[41:07] SEO Becomes AEO
James introduces answer-engine optimization: positioning a business so that AI systems recommend it directly.
[42:00] The Winner-Take-More AI Search Result
Chandler explains why AI recommendations may be even more valuable than traditional search rankings when the system returns only one or two choices.

Additional Resources:
selfpublishing.com
Publishing by the Numbers 2026
Chandler Bolt — Official Bio & Books
Published.: The Proven Path From Blank Page to Published Author — Chandler Bolt
Sign & Thrive — Bill Soroka
The 6 Pillars of Intimacy — Tony & Alisa DiLorenzo
The Miracle Morning — Hal Elrod
Scaling Up — Verne Harnish
Amazon Kindle Direct Publishing
Spotify Audiobooks

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Before building anything, Tom says you can find out in about a day whether people care about the problem, and he explains how to run that test with AI.

A Note from James:

Back in the ’90s, I built websites.
I actually built American Express’s first website.
And I remember walking into places like JPMorgan and saying, “Eventually, every one of your customers is going to interact with you through a website.”
They laughed at me.
They weren’t stupid.
They just didn’t want it to be true.
I think about that a lot right now.
When I was a programmer, a good day might have been 100 lines of working, debugged code.
With AI, I can do something closer to tens of thousands.
Tom Bilyeu has spent his career reinventing himself.
He helped build Quest Nutrition. Then he built Impact Theory, which came out of nowhere and became one of the biggest shows in its category.
Now he’s building a video game called Kyzen—a massive, procedurally generated world—and using AI throughout the process.
So I asked him the question I was honestly a little scared to hear the answer to.
You’re 45. You’ve got a mortgage. You’ve got kids. You’ve built a career.
And AI is coming for your job.
What happens?
Tom did not comfort me.
He said history suggests some people will lose their jobs during a technological transition and never really recover.
That happens.
But then he made a distinction I think is much more useful.
It isn’t necessarily about age.
It’s about what kind of person you are when the world changes.
Do you look for the opportunity?
Or do you spend all your time looking at what you’re about to lose?
And Tom also gave me one question I’m absolutely stealing.
When he uses AI to evaluate an idea, he doesn’t ask:
“How do I make this succeed?”
He asks:
“Why is this going to fail?”
That changes the entire conversation.
This is Tom Bilyeu.

What You’ll Learn:

Why Tom believes AI is eliminating many traditional technical and financial business moats.
How he uses AI to compress product research, testing, development, and execution.
Why one of his most useful AI prompts is: “Why is this going to fail?”
What he would do today if he were 21 and starting an AI-enabled business from scratch.
How mid-career workers can position themselves before AI changes their jobs.
Why Tom thinks brand, distribution, network effects, and judgment become more important as intelligence gets commoditized.
What previous technology booms may tell us about today’s massive AI infrastructure investment.
How Tom built Impact Theory by finding white space in a crowded market—and how he is applying the same principle to Kyzen.

Timestamped Chapters:

[02:48] A Note from James
James connects the current AI transition to building websites in the 1990s and introduces Tom’s rule for challenging an AI-assisted idea.
[04:28] What Tom Is Building Now
Tom updates James on Impact Theory and introduces Kyzen, the massive procedurally generated game his team has been developing.
[05:39] What Is a Moat When Anyone Can Build Software?
James asks what protects a game—or any software company—once technical difficulty stops being a meaningful barrier.
[06:14] Brand and Network Effects Replace Technical Advantage
Tom argues that differentiation will increasingly come from audience, ecosystem, distribution, and the relationships surrounding a product.
[08:17] Winning in an Avalanche of Content
Impact Theory’s decade of competing on YouTube becomes Tom’s model for surviving a future where AI creates an overwhelming supply of games and media.
[10:04] The AI Wake-Up Moment
Tom remembers watching a game-development process that once required several people and months of work collapse into a single afternoon.
[11:51] Does AI Actually Create Better Businesses?
Tom says AI helps entrepreneurs get to revenue faster and with fewer people—but it does not automatically solve product-market fit.
[13:31] What Tom Would Do at 21
He lays out a practical approach to using AI as a researcher, product-development partner, and accelerator.
[15:40] The People-Pleasing Problem
James warns that AI can enthusiastically help build a terrible idea if the user never challenges it.
[16:24] “Why Is This Going to Fail?”
Tom explains how he prompts AI for disconfirming evidence, skeptical arguments, previous failures, and first-principles analysis.
[18:18] Use AI to Understand the Person Across the Table
Tom shows how founders can research distributors, customers, decision-makers, and the incentives driving them.
[19:25] Better Inputs Create Better AI Outputs
A frustrating design exercise teaches Tom that vague stylistic references produce derivative results; understanding the underlying vocabulary produces more original work.
[23:12] When Everything Becomes AI-Native
Tom predicts that the next stage will come when software, appliances, development environments, and everyday tools are built around AI from the beginning.
[25:40] Your Old Advantages Just Disappeared
Tom describes the unsettling realization that intelligence, speed, technical skill, and capital may no longer provide the same protection they once did.
[27:24] From 100 Lines of Code to 50,000
James compares his early programming career with the amount of work modern AI tools can generate.
[28:25] Today’s AI vs. Artificial Superintelligence
James and Tom distinguish the limitations of current models from the far more disruptive future systems AI skeptics and safety researchers worry about.
[30:00] What Happens to the 45-Year-Old Worker?
James asks the question directly: if you’re mid-career with a family and AI threatens your job, what happens next?
[32:01] Money Doesn’t Solve the Meaning Problem
Tom argues that even if governments eventually cushion widespread unemployment, people will still need purpose and identity.
[33:10] Be the Last Human Standing
As long as AI remains a tool, Tom says the advantage goes to the human who learns how to use it aggressively.
[34:16] What Should You Learn Right Now?
Tom recommends experimenting with the strongest available AI tools toward work that is economically valuable.
[36:17] James Remembers the Early Internet
Companies once laughed when James told them customers would eventually interact through websites. He sees a similar resistance happening now.
[37:18] Reinvention Is a Personality Trait
Tom argues that disruption rewards people who become excited by learning the new thing instead of focusing exclusively on what they may lose.
[38:00] Is the AI Infrastructure Boom a Bubble?
James and Tom discuss falling inference costs, enormous data-center investment, debt, and the historical pattern of infrastructure booms.
[42:35] Even If the Bubble Bursts, AI Still Wins
Tom argues that AI is already useful enough to spend years transforming existing industries even if model progress stopped tomorrow.
[43:11] Which Jobs Last the Longest?
Physical work may resist automation longer, but Tom sees embodied AI and robotics eventually reaching even highly skilled trades.
[45:48] AI, Medicine, and the Human Layer
James uses a medical story to explore the difference between AI’s analytical ability and the continued need for human judgment, care, and communication.
[47:53] How Impact Theory Broke Into a Crowded Market
James asks how Tom built a major media brand after being told podcasting was already saturated.
[48:37] There Is Always Room for Better
Tom explains the principle behind Impact Theory’s early growth: find something valuable competitors are not doing and execute it at a higher level.
[50:24] Find the White Space
High production value helped Impact Theory attract guests before it had a large audience. Tom says every new entrant needs to identify its own equivalent advantage.
[51:31] Building Media With AI
Tom describes using AI for analytics, trend detection, scripting, content generation, and marketing strategy around Kyzen.
[53:39] Testing Kyzen Before the Public Sees It
Tom explains why the team is starting with trusted testers before expanding access—and why brutally honest feedback is welcome.
[55:35] Why It’s Called Kyzen
The name comes from the Japanese concept of continuous improvement, deliberately respelled so the project could be trademarked.
[56:18] Constant Improvement
James connects Kyzen’s name back to Tom’s career of repeated reinvention and closes the conversation.

Additional Resources:
Impact Theory — Official Website
Project Kyzen — Official Website
Tom Bilyeu — YouTube
Quest Nutrition
Claude — Anthropic
ChatGPT
Unreal Engine

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Struggle is part of the price you pay, he says, and his own worst stretch came right after he took the top job.

A Note from James:

Carlos Gutierrez was diagnosed with ADHD at 65.
Sixty-five.
By then, he had already run Kellogg. He had already served in George W. Bush’s Cabinet as Secretary of Commerce.
And only then did someone explain the procrastination, the disorganization, and those stretches where he could lock onto one thing for weeks and almost nothing else existed.
I know that feeling a little too well.
Carlos left Cuba as a kid after his father basically told off Che Guevara. He went to community college and got Ds and Fs in almost every class except public speaking.
Then he went from selling cereal out of a truck in Mexico City to running the entire company.
Eventually, he went to Washington and ran a department where trade was one of the biggest parts of the job.
So of course I had to ask him about tariffs.
Carlos is not a big tariff guy. He thinks broad tariffs raise prices and hurt businesses. But he also said something about Trump that I didn’t expect.
Trump approaches the executive branch more like a CEO. He makes decisions and expects them to get implemented. And Carlos thinks that could permanently change what voters expect from future presidents.
Then there’s China.
Carlos told me that when the United States showed up to a negotiation, we might have 20 or 25 things we wanted.
China would have one.
One.
And that completely changes the negotiation.
His new book is Sheer Will: Learning to Lead When There Is No Path.
At the end, I asked what he would tell a 25-year-old trying to build a career today.
His answer is basically the opposite of a lot of what I’ve written over the last decade.
And he might be right.
Here’s Carlos Gutierrez.

Episode Description:

Carlos Gutierrez’s career did not follow an obvious path.
His family fled Cuba when he was a child. He struggled academically, never finished college, joined Kellogg in Mexico as a sales representative, and eventually became the youngest CEO in the company’s history. From there, he entered government as President George W. Bush’s Secretary of Commerce.
His new memoir, Sheer Will: Learning to Lead When There Is No Path, is about what happened between those milestones.
James begins with a discovery Carlos made much later: at 65, he was diagnosed with ADHD. Looking backward, behaviors that once seemed like weaknesses suddenly made more sense. So did some of his strengths—especially the ability to hyperfocus intensely on a problem for weeks.
That leads into leadership.
Carlos describes the mistakes he made after becoming CEO, including hiring people who looked right on paper but never fit Kellogg’s culture. He eventually stopped trying to behave the way he thought a CEO was supposed to behave and began relying more heavily on experience, instinct, and his understanding of people.
James then asks what changed when Carlos moved from business into government.
His distinction is blunt: business is ultimately judged by results; politics is heavily shaped by perception. At Kellogg, he could make a decision and execute it. In Washington, authority was divided across Congress, agencies, departments, political constituencies, and the White House.
That experience gives Carlos a different lens on today’s trade policy.
He explains why he opposes broad tariffs, how the Commerce Department traditionally approached trade disputes, and what he learned negotiating directly with China. One lesson stands out: the Chinese side often arrived with one or two priorities, while the American side arrived carrying a long list of demands from different industries.
Focus gave China leverage.
Carlos also describes canceling a planned trip to China when officials tried to remove intellectual-property rights from the agenda, why calm can be more effective than anger in those negotiations, and the cultural differences that complicate agreements even after everyone signs a contract.
The conversation eventually returns to leadership at a much more personal level.
As Carlos rose through Kellogg, success increasingly required decisions that would disappoint people. His father had given him a rule: if you cannot make the tough decisions, somebody else should have your job.
Carlos took that seriously—but he also learned that firmness and empathy are not opposites.
Near the end, James asks what Carlos would recommend to a young person starting a career today.
Carlos does not say start a company.
He says that if you find a company whose people and products you believe in, consider staying. Think about where ten years of learning, relationships, responsibility, and institutional knowledge might take you instead of constantly optimizing for the next two years.
For someone who reached the top of Kellogg without a college degree, it is advice built less around credentials than around patience, self-knowledge, and sheer will.

What You’ll Learn:

How an ADHD diagnosis at 65 changed the way Carlos understood both his weaknesses and his strengths.
What took him from selling cereal in Mexico to becoming Kellogg’s youngest CEO.
Why he eventually stopped trying to lead the way a CEO was “supposed to” and began trusting experience and intuition.
How leadership changes when success requires making decisions that will disappoint people.
Why Carlos sees business as driven by results while government is far more constrained by politics, process, and perception.
What years of negotiating with China taught him about focus, leverage, patience, and cultural differences.
Why he opposes broad tariffs even when he believes trading partners are behaving unfairly.
Why his advice to young people is to consider staying with a great company long enough for compounding experience to matter.

Timestamped Chapters:

[04:20] A Relentless Refusal to Be Average
James asks Carlos where his ambition came from and why proving other people wrong became such a strong motivator.
[05:22] Struggle as Part of the Price
Carlos connects his childhood upheaval with a lifelong belief that struggle is not something to avoid.
[06:50] The Breakthrough Was Learning to Manage People
Carlos says the biggest change in his career came when he realized business was not fundamentally about reports and numbers—it was about people.
[07:26] A Brief Campaign to Bring Back Product 19
James temporarily redirects the entire interview toward the discontinued Kellogg cereal he believes deserves justice.
[08:09] Diagnosed With ADHD at 65
Carlos explains how the diagnosis reframed decades of procrastination, disorganization, hyperfocus, and leadership.
[09:18] The Advantages He Never Had a Name For
Hyperfocus and empathy become examples of traits Carlos believes sometimes helped rather than hindered his career.
[10:43] The Early Mistakes of a New CEO
Carlos remembers hiring outsiders who looked promising but failed to fit the culture.
[11:59] Stop Acting Like a CEO and Trust Your Gut
After his first year, Carlos says he began relying more on decades of experience rather than doing what he thought a CEO was technically supposed to do.
[12:27] How Do You Find What You’re Good At?
Carlos traces his career back to two subjects that unexpectedly grabbed him: public speaking and financial management.
[14:10] Expose Yourself to Enough Things to Be Wrong
Finding your strengths, Carlos argues, requires trying plenty of things that turn out not to fit.
[14:56] Going From Kellogg to the Cabinet
James asks how decision-making changed when Carlos became U.S. Secretary of Commerce.
[15:51] Politics Is Perception; Business Is Results
Carlos explains one of the biggest distinctions he experienced between Washington and corporate leadership.
[18:40] The Media, Trump, and the White House Press
James and Carlos discuss political coverage, presidential power, and the current dispute over White House media access.
[20:59] Running Government Like a CEO
Carlos explains what he sees as distinctive about Trump’s approach to the executive branch—and why it may change what future voters expect from presidents.
[23:45] Why Carlos Opposes Broad Tariffs
Carlos says targeted tariffs can make sense, but argues that broad tariffs raise prices and create problems for businesses.
[25:15] How Do You Fight Unfair Trade Without a Trade War?
James asks how Carlos dealt with trade barriers and restrictions during his own time at Commerce.
[25:50] The Time Carlos Canceled the China Trip
When China tried to remove intellectual-property rights from the agenda, Carlos publicly threatened to cancel the meeting—and the tactic worked.
[26:46] China Brings One Ask. America Brings Twenty.
Carlos describes a negotiating imbalance he repeatedly saw in bilateral meetings.
[29:14] Rare Earths and Dependence on China
James asks whether China could use its dominance in critical minerals as leverage against the United States.
[30:41] When a Contract Is a Starting Point
Carlos describes cultural differences in the way American and Chinese negotiators can think about contracts and ongoing relationships.
[31:09] Can Friendship Change a Negotiation?
James asks whether personal relationships ever allow officials to bypass the formal talking points.
[33:18] Business Can Decide. Government Has to Coordinate.
Carlos explains why responsibility spread across agencies and Congress makes federal management fundamentally different from corporate management.
[34:34] Leadership Means Disappointing People
James asks how Carlos learned to make decisions that could cost people jobs and reshape entire communities.
[35:24] “If You Can’t Make the Tough Decisions…”
Carlos shares the rule he inherited from his father: if you cannot make the difficult call, someone else should have your job.
[36:45] The Lesson Carlos Rejected From His Father
His father believed deeply in entrepreneurship and risk-taking. Carlos deliberately chose the stability of a corporation instead.
[37:51] Does AI Make Entrepreneurship Easier?
Carlos argues that new tools lower some barriers but also give every competitor access to the same advantages.
[39:22] The Billionaire Success Trap
Carlos warns against treating the rare success stories of entrepreneurs like Zuckerberg or Musk as normal outcomes.
[40:05] What Happens When You Disagree With the President?
Carlos describes how disagreement actually works inside a presidential administration and how much gets resolved before anyone confronts the president directly.
[42:38] Telling George W. Bush He Changed His Mind on Cuba
Years after leaving government, Carlos personally tells Bush that his position on Cuba has changed.
[44:18] What Would Carlos Do Differently?
James asks what he would change about his career and what he would do if he were starting over.
[45:40] The Case for Staying Put
Carlos gives his advice to a 25-year-old: if you find a great organization with good people, good products, and room to grow, consider giving it five or ten years instead of constantly jumping.

Additional Resources:
Sheer Will: Learning to Lead When There Is No Path — Macmillan
Carlos Gutierrez — U.S. Department of Commerce
Carlos Gutierrez — Stern Strategy Group
Federal Reserve Bank of New York — “How Fast Do Tariffs Pass Through into Consumer Prices?”

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He admits he was so bad at firing people at Carlyle that he sometimes promoted them instead by mistake...

A Note from James:
On this show, I’m usually the one asking the questions.
But near the end of this conversation, David Rubenstein turned it around on me.
He asked why I care whether the Mets win.
And I didn’t really have an answer.
I said, “I guess when I was a kid, it felt like I was winning when they won.”
And David said, basically, yeah. That’s the whole thing.
David owns the Baltimore Orioles now. And he explained that Baltimore has spent roughly 200 years living in the shadow of cities like New York, Boston, Philadelphia, and Washington. If the Orioles win, somebody in Baltimore who will never make a dollar from the team still gets to feel like they won too.
His new book is Inside the Owner’s Box: Conversations on Power and Leadership in Sports.
And there were two things David told me that I can’t shake.
One: he was so bad at firing people at Carlyle that employees would come into his office to get fired and somehow convince him to promote them instead.
So Carlyle took firing away from him.
He didn’t become better at it.
He just stopped doing it.
And two: since he bought the Orioles, they’ve more than doubled what they pay their players.
The team did not become twice as good.
I’ve spent a lot of money in my life trying to fix things that were never money problems.
And, honestly, I’ve spent a lot of my life feeling like a winner because of things I didn’t even own.
So I wanted to ask someone who actually owns the team what ownership teaches you that being a fan never can.
Here’s David Rubenstein.

Episode Description:
David Rubenstein has spent decades buying companies, building The Carlyle Group, negotiating major deals, interviewing world leaders—and now he owns the Baltimore Orioles.
That last job has taught him a few things the others didn’t.
His new book, Inside the Owner’s Box: Conversations on Power and Leadership in Sports, grew out of conversations with owners including Robert Kraft, Ted Leonsis, Tom Ricketts, Jeffrey Lurie, and others. James asks David what he learned from them now that he has crossed from businessman and sports fan into ownership himself.
The first surprise is that sports ownership isn’t primarily about maximizing profit. David says most owners obsess over something much more emotionally dangerous: winning.
And winning is difficult to buy.
Since David’s group took over the Orioles, player payroll has more than doubled without producing a corresponding improvement on the field. That leads James and David into a larger discussion about luck, accountability, talent evaluation, coaching, and how much credit any leader should take when things go well.
David is unusually comfortable admitting what he doesn’t know. He doesn’t pick every player. He doesn’t choose managers by himself. He relies on people who know far more about baseball than he does.
That same philosophy helped him at Carlyle: understand your limitations, then surround yourself with people whose expertise exceeds your own.
The conversation also turns into a masterclass on negotiation.
David tells the story of nearly walking away from the Orioles deal after an exchange with the seller’s investment banker. The important lesson wasn’t the disagreement itself. It was that even when the deal involved his hometown team—a team he genuinely wanted—he had to be willing to leave.
If the other side knows you will pay any price to get something, David says, you have already weakened your negotiating position.
James and David also discuss hiring, firing, job interviews, sports analytics, AI, betting, media rights, franchise valuations, and why elite athletes don’t necessarily make elite coaches or owners.
But the most interesting lesson comes near the end.
David asks why ordinary people care so intensely about teams in which they have no financial stake.
His answer is that sports allow people to participate emotionally in success. When the hometown team wins, the city wins. And for a few hours, millions of people get to feel that victory personally.
That, David says, is something he never encountered in private equity.

What You’ll Learn:
Why owning a sports team is fundamentally different from owning a traditional business.
Why spending more money can improve your odds without guaranteeing success.
How David separates leadership decisions from luck and outcomes.
Why knowing your limitations—and hiring people smarter than you—is a competitive advantage.
What David looks for when interviewing and hiring people.
Why the ability to walk away is essential in any serious negotiation.
How analytics, AI, betting, and media rights are changing professional sports.
Why fans feel genuine personal success when their hometown team wins.

Timestamped Chapters:
[02:00] Firing People and Walking Away From Deals
David previews two themes that recur throughout the conversation: why he was terrible at firing people and why a negotiator must always be prepared to leave.
[02:53] A Note from James
James introduces David, the Orioles, Inside the Owner’s Box, and the strange emotional relationship fans have with teams they don’t own.
[04:13] Will There Be Baseball Next Year?
James opens with the uncertainty surrounding Major League Baseball’s next labor agreement.
[04:58] Why David Bought the Orioles
David explains why sports ownership is less financially motivated than traditional investing and why he sees the Orioles partly as a way to give back to Baltimore.
[06:06] Spending More Doesn’t Guarantee Winning
The Orioles have significantly increased payroll, but David says the results demonstrate why money alone cannot manufacture success.
[06:26] When Do You Fire the Manager?
James asks whether a struggling team’s manager deserves the blame when so many factors determine performance.
[07:34] How Much of Winning Is Luck?
Tom Brady becomes the example for separating brilliant decision-making from the enormous role of uncertainty.
[08:39] When One Decision Changes Everything
James and David discuss whether owners can identify specific decisions that truly altered the trajectory of a franchise.
[10:08] The People Who Make the Baseball Decisions
David explains why he trusts the Orioles’ baseball executives rather than attempting to make decisions outside his expertise.
[10:34] David Rubenstein Was Terrible at Firing People
David admits employees sometimes talked him out of firing them—and even into promotions—so Carlyle eventually gave the job to somebody else.
[11:29] How Do You Evaluate Someone Smarter Than You?
James asks how a leader can judge an expert whose technical knowledge exceeds his own.
[13:19] David’s Rules for a Job Interview
Always have questions. Be prepared. Show curiosity. And don’t make compensation the first thing you ask about.
[15:17] What Sports Owners Have in Common
After interviewing owners across major leagues, David identifies the trait they share most consistently: an obsession with winning.
[16:13] Losing in Public
Unlike many business failures, sports losses happen in front of everyone—and are analyzed every day.
[17:02] Becoming a Public Figure in Baltimore
David describes how owning the Orioles changed the way people recognize and interact with him.
[18:00] Buying a Team Is Personal
James compares Ted Leonsis’s approach to buying teams with David’s much longer negotiation for the Orioles.
[19:04] The Zoom Call That Nearly Killed the Deal
David explains why a condescending explanation of debt irritated him enough to walk away from the negotiation.
[20:19] The Most Important Negotiating Rule
Even when you desperately want the deal, David says you have to establish red lines and genuinely be prepared to leave.
[21:36] Preparation, Advisors, and Hidden Liabilities
David breaks negotiation down to preparation, financial sophistication, good advice, and understanding exactly what you’re buying.
[22:46] Starting Carlyle Was Riskier Than Buying the Orioles
David remembers creating Carlyle with no real business background and far less certainty than he has today.
[23:26] Money Is Not the Solution to Every Problem
Ownership reinforces a lesson David already knew from investing: capital helps, but it cannot compensate for every organizational weakness.
[24:00] Why Baseball Prospects Are So Hard to Predict
David compares baseball’s long development path with the greater predictability of early draft picks in basketball and football.
[25:20] Tom Brady, Johnny Unitas, and Hidden Talent
James and David discuss the stars nobody recognized early enough and the limits of forecasting human potential.
[28:05] Do Great Players Make Great Leaders?
David explains why playing brilliance does not automatically translate into coaching, management, or ownership ability.
[29:17] Know What You Don’t Know
James identifies one of David’s recurring strengths: recognizing his limitations and surrounding himself with people who possess the expertise he lacks.
[31:20] How Do You Actually Turn a Team Around?
David runs through the variables an organization has to examine after a disappointing season, from coaching and player development to health and team chemistry.
[32:00] Surviving Criticism as an Owner
David’s strategy for social media criticism is simple: he doesn’t read it.
[34:16] Why Sports Rights Keep Getting More Valuable
David talks about streaming, global audiences, television economics, and live sports’ unusual ability to keep attracting mass audiences.
[36:20] Finding the Next Great Sport
Investors pitch David everything from pickleball and padel to cricket and women’s hockey—but he admits he can’t reliably predict which will break through.
[36:47] Why Baltimore Matters More Than Baseball
David returns to his real motivation for buying the Orioles: his connection to his hometown.
[38:01] Moneyball Meets AI
James asks how artificial intelligence could push sports analytics beyond the statistical revolution popularized by Moneyball.
[39:35] Statistics Matter—But Athletes Still Have to Perform
David argues that increasingly sophisticated analytics remain secondary to skill, motivation, health, and execution.
[41:10] Lies, Damn Lies, and Sports Statistics
They discuss the limits of metrics like WAR and the danger of mistaking measurement for complete understanding.
[42:00] Prop Betting and the Integrity Problem
David explains why bets on individual player actions can create risks that traditional winner-and-loser betting does not.
[42:55] The One Thing Carlyle Couldn’t Teach Him
Sports ownership reveals an emotional relationship between a business and a community unlike anything David encountered in private equity.
[43:49] Why Fans Feel Like They Won
David turns interviewer and asks James why a Mets victory matters to him personally.
[46:03] Population, Media, and the Future Value of Sports
James and David consider what demographics, immigration, AI, and productivity could mean for the future sports economy.
[47:30] Nobody Knows
The serious conversation ends on uncertainty before David pivots to perhaps the episode’s hardest question: what exactly is happening with James’s hair?
[48:55] Closing Thoughts
James recommends Inside the Owner’s Box and wishes David luck on the rest of his ownership journey.

Additional Resources:
Inside the Owner’s Box — Simon & Schuster
David Rubenstein — The Carlyle Group
Baltimore Orioles Ownership Group
How David Rubenstein Became Owner of the Orioles — MLB.com
The David Rubenstein Show: Peer-to-Peer Conversations — Bloomberg
History with David Rubenstein — PBS
MLB’s 2026 Collective Bargaining Negotiations

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Episode Description:
Before Cal Fussman interviewed Muhammad Ali, Mikhail Gorbachev, Kobe Bryant, Serena Williams, Al Pacino, Robert De Niro, and hundreds of other extraordinary people, he spent nearly a decade traveling the world without much of a plan.
He would get on buses without knowing where they were going. He had little money, so he often needed to strike up a conversation with a stranger and build enough trust to be invited home.
That became his training.
Cal learned to read people, listen closely, follow curiosity, and ask the question that could turn a stranger into a friend. Those same skills eventually became the foundation of his celebrated What I’ve Learned interviews for Esquire.
In this first conversation between James and Cal, they explore why questioning is becoming more valuable in a world overflowing with answers. Google can give you information almost instantly. What it cannot necessarily give you is the question that changes how someone sees their own life.
Cal explains why television interviews often fail to create real connection, why canned questions produce canned answers, and why he eventually stopped bringing a written list of questions into interviews.
Preparation still matters. But once the conversation begins, the interviewer has to listen.
James and Cal also talk about curiosity as a skill that gets suppressed over time. Children ask questions constantly. Adults often stop because asking reveals that they do not know something. Cal argues that the process can be reversed: curiosity can be deliberately rebuilt.
They break down some of Cal’s most memorable interviews, including the question that opened up Mikhail Gorbachev, what he learned from Larry King and Oprah Winfrey, and why a seemingly strange question to Dr. Dre can reveal far more about passion than asking someone directly whether they work hard.
The conversation eventually turns back on James. Cal becomes fascinated by James’s ability to simplify ideas into repeatable formats, and the two start brainstorming how questions themselves could become tools for hiring, parenting, relationships, education, and business.
Underneath all of it is a simple idea:
A better question can lead somewhere you never expected to go.

Editorial Note:
This is a From the Archive episode and the first interview between James Altucher and Cal Fussman. The original episode, #324: “The Art of a Great Question,” was published March 5, 2018.
References to Cal being new to podcasting, Big Questions just getting started, his role at Esquire, the state of magazines and terrestrial radio, and podcasting being in its “second inning” reflect the original recording period.
Several people discussed in the episode have since died, including Kobe Bryant, Larry King, and Mikhail Gorbachev. Their interviews are discussed here in the context of Cal’s career and his experiences with them.
Cal’s Big Questions podcast remains active, and his work today continues to center on questioning, human connection, leadership, and increasingly the future of work in the age of AI.

What You’ll Learn:
How a decade of unplanned travel taught Cal to connect with almost anyone.
Why Cal believes great questions have become more valuable in a world overflowing with answers.
How asking questions helped turn a young sportswriter into one of the world’s best-known interviewers.
Why Cal prepares extensively but throws away his written questions once the interview starts.
How curiosity gets suppressed as we grow older—and how to deliberately rebuild it.
Why asking the heart before the head can produce a completely different conversation.
What Cal learned about interviewing from Mikhail Gorbachev, Larry King, Oprah Winfrey, and Dr. Dre.
How changing a single question can alter hiring, parenting, education, business, and even the direction of a life.
Why simple formats can sometimes create more impact than complicated ones.
How podcasting gave Cal a new way to pursue the uncertainty and discovery he once found traveling the world.

Timestamped Chapters:
[03:20] Meet Cal Fussman
James introduces Cal, his Esquire career, Big Questions, and the hundreds of iconic people he has interviewed.
[05:00] Leaving a Life That Felt Too Predictable
Cal remembers leaving St. Louis because he could already see the rest of his career unfolding in front of him.
[07:30] Inside Sports and the Writers Who Raised the Bar
Cal describes entering a remarkable New York writing culture alongside people like Hunter S. Thompson and David Halberstam.
[11:00] When a Passion Disappears Overnight
Inside Sports collapses, leaving Cal to decide whether to find another job or build a completely different life.
[14:00] A Decade of Not Knowing What Happens Next
Cal leaves for Europe and becomes addicted to waking up without knowing where he will go, who he will meet, or where he will sleep.
[20:30] Learning to Connect With Strangers
Bus rides become Cal’s laboratory for reading people, starting conversations, and creating trust across language and cultural barriers.
[24:00] Are We Losing the Ability to Connect?
James and Cal discuss smartphones, earbuds, scripted media, and how modern communication can reduce opportunities for spontaneous conversation.
[26:00] Why Television Interviews Aren’t Conversations
Cal contrasts genuine interviewing with short, confrontational television segments built around talking points and “gotcha” moments.
[29:00] When Clicks Replace Interesting Stories
Cal describes how measurable popularity changed which people and stories media organizations choose to pursue.
[31:00] Questions as a Superpower
James argues that Cal’s ability to ask the right question has generated experiences, friendships, opportunities, and an entire career.
[33:00] The Question That Made Cal a Reporter
As a college freshman, Cal sneaks into a football locker room and asks a question that makes the veteran reporters around him start taking notes.
[36:00] We Have Plenty of Answers
Cal explains why Google changed the value equation: answers are abundant, while great questions remain scarce.
[38:30] Why Cal Throws Away His Questions
Cal remembers interviewing attorney F. Lee Bailey and learning that notes could interfere with confidence, equality, eye contact, and genuine conversation.
[45:00] The Woman Standing in the Bus Aisle
James finally circles back to the question he has wanted answered from the start: how did Cal meet his wife while traveling through Brazil?
[50:00] “Would You Like My Seat?”
Cal tells the story of meeting the woman he immediately believed he would marry—and the decidedly unimpressive first question he asked her.
[53:00] Cal’s Hidden 10,000 Hours
James realizes that Cal’s years traveling the world were effectively his apprenticeship in reading people, listening, and asking questions.
[55:00] Rebooting Curiosity
Cal explains why children ask hundreds of questions while adults learn to suppress curiosity out of fear of appearing ignorant.
[59:00] Change the Question, Change the Relationship
Cal demonstrates how questions like “Why is your best friend your best friend?” reveal far more than standard job-interview questions.
[01:00:00] The Question That Opened Mikhail Gorbachev
Instead of beginning with politics or nuclear weapons, Cal asks about Gorbachev’s father—and gets a deeply personal story connected to war and peace.
[01:03:00] What Cal Learned From Larry King
Cal explains how interviewing Larry eventually turned into daily breakfasts and a lasting friendship.
[01:05:00] Larry King, Oprah, and Olympic-Level Interviewing
Cal breaks down the different forms of intelligence and connection required by great interviewers.
[01:08:00] What 72 Hours Awake Tells You About Dr. Dre
A seemingly unusual question becomes a way to uncover passion, persistence, and how someone approaches their work.
[01:10:00] Entrepreneurs Discover the Value of Better Questions
After speaking at Summit, Cal realizes business leaders are hungry for better ways to interview and hire people.
[01:13:00] Cal Fussman’s 100 Questions
James spontaneously pitches Cal a book concept based on the questions he has used with extraordinary people.
[01:15:00] Change the Question, Change a Life
James and Cal compare stories about parents who asked their children better questions—including “What good question did you ask today?” and “What did you fail at today?”
[01:18:00] Picasso, Simplicity, and Removing What You Don’t Need
Cal uses Guernica to explain how great work often becomes more powerful as it becomes simpler.
[01:20:00] James’s Superpower: Simplification
The roles reverse as Cal questions James about how he turns complicated ideas into simple, repeatable formats.
[01:23:00] Writing vs. Podcasting
Cal reflects on how much faster a podcast allows him to capture conversations compared with the painstaking process of producing magazine pieces.
[01:27:00] Why Podcasting Changes Dead Time
James explains why audio can transform commuting, exercise, and other periods when people would never traditionally sit down to read.
[01:29:00] The Fear That Kept Cal From Podcasting
Cal admits that fear of recording technology—not interviewing—was what delayed him from starting Big Questions.
[01:32:00] From Journalist to Entrepreneur
Cal begins thinking differently about distribution, media, business, and how to get more impact from the work he already knows how to do.
[01:34:00] How Much Preparation Is Too Much?
James and Cal compare approaches to research and discuss the balance between preparation and arriving genuinely curious.
[01:36:00] Do You Always Need a New Story?
Gary Vaynerchuk and Jerry Seinfeld become examples of why repetition can be more useful than constantly creating something new.
[01:41:00] Podcasting as the New Unknown
Cal realizes that listening to unfamiliar conversations may recreate some of the discovery he once found by getting on buses without knowing the destination.
[01:43:00] Big Questions and Cal’s Next Act
Cal talks about committing to podcasting and asks James for recommendations as he enters a new medium.
[01:48:00] Stop Reinventing the Wheel
Cal reflects on how much of his career has been built around chasing the next story and why repeatable systems might let him accomplish more.
[01:51:00] 80% of the Value for 20% of the Work
James and Cal discuss simplicity, production quality, and finding the format that creates the most value without unnecessary complexity.
[01:53:00] The Beginning of Act Three
At 61, Cal says he feels capable of accomplishing more in the next chapter of his life than he did in the previous six decades.

Additional Resources:
Cal Fussman — Official Website
Big Questions with Cal Fussman
The Tim Ferriss Show
Tools of Titans by Tim Ferriss
Don’t Sweat the Small Stuff by Richard Carlson
The 4-Hour Workweek by Tim Ferriss

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