#840: Bill Gurley — Investing in The AI Era, 10 Days in China, and Important Life Lessons from Bob Dylan, Jerry Seinfeld, MrBeast, and More

Hello, friends. Tim Ferriss here. Today I’m sitting down with Bill Gurley of Benchmark, longtime tech investor, writer of Above the Crowd, and now author of Running Down a Dream, a book about building a career you actually love. We’ll unpack the habits, frameworks, and wild stories behind it, plus a whole lot on AI, China, and lessons from icons.

You brought a seriously worn book as a prop. What is it and why does it matter to you?

It’s The Last Laugh by Phil Berger, a deep dive on stand-up that gave Jerry Seinfeld the permission to pursue comedy. Seeing real careers in those profiles made an off-map path feel legitimate, which is a big theme in my book.

Let’s jump to today’s lightning rod. AI bubble or not?

Real wave and bubble behavior can coexist. Carlotta Perez shows every breakthrough that creates rapid wealth also attracts speculation and opportunists. If the tech is real, you still get bubble dynamics.

Given that, how would you invest now, especially in private markets?

I’m surprised how many big companies are doing circular deals. Money goes in with spending commitments that inflate demand on paper. Meanwhile, SPVs are everywhere, some without actual allocations. Retail investors should be very careful. The hundred-times wins were seeded years ago.

People also overestimate their risk tolerance. If you haven’t ridden a big drawdown, SPVs can be a painful teacher.

And private investing lacks public-market transparency. Most VC-backed startups fail, and the information is loose. If you approach it like audited public equities, you’re in for a shock.

If you were angel investing now, what would you look for?

I’d back curious builders who live in the AI tools and also deeply understand a specific industry. That combo can create real edge in verticals the frontier labs won’t prioritize.

So you’d still invest around AI, even with bubbly behavior?

Yes, because institutional money has near-zero interest in non-AI. Also, for your own career, you should be hands-on with these tools. Becoming the most AI-enabled version of yourself is the best defense.

How do you avoid being steamrolled by OpenAI, Anthropic, or others?

Don’t chase the next obvious capability from a foundation model. Go off the beaten path. Own proprietary data and stitch AI into real workflows. Think Zillow’s showing, mortgage, and signing tools for agents. Software plus process beats a generic Q&A model.

You spent ten days in China. What did you see that changed your view?

I rode high-speed rail, toured Xiaomi’s car factory, and explored Shenzhen’s scale. Dan Wang’s Breakneck framed it well. The common “top-down communism kills innovation” take misses provincial competition that creates brutal, market-like pressure. You get ghost cities and overbuild, but also relentless innovation and execution at stunning cost levels.

How did you get inside Xiaomi’s factory, and what stood out?

I’ve known Lei Jun since his Joyo days. He’s morphed into a Jobs-like figure. For the SU7, he drove 200 employee cars and gathered ground-truth insights before designing. The factory is world-class. They even shipped cars to Western reviewers and Ford’s CEO test-drove one in Michigan.

Top critiques of the Chinese tech ecosystem or CCP after the trip?

Don’t be the tallest tree. When success becomes a public platform, the state gets uneasy. That changes how founders behave in the spotlight.

What about the surveillance question tied to their superior hardware and prices?

Domestic surveillance is real, and street crime is low. Exported tech used for foreign intel is a problem and should be negotiated hard. I’m more pro-engagement than isolation.

If I went to China to learn, am I overthinking the risk?

You’re overthinking it. Some labs won’t meet Westerners, and both sides surveil, but visiting to understand the ground truth matters.

Two more realities. Supply chains are deeply integrated down to raw materials, so reshoring becomes assembly unless we rebuild upstream. And they build infrastructure, including fission plants, at about one quarter of our cost, while we drown in red tape and litigation.

What should the U.S. do now?

Make it easier to build. Some states are clearing paths for fabs and data centers. Also, stop saying China can’t innovate. They can. MEMS LiDAR at car-scale pricing is a great example.

Countries you’re long right now?

Work ethic, education, and lower per-capita income can attract jobs. Vietnam and Turkey stand out to me.

Let’s segue to your book. Tell the Matthew McConaughey story that captures the mission.

He told his dad he was switching from law to film and braced for a fight. His dad said, don’t half-ass it. That blessing became rocket fuel. The book aims to give people that same permission to pursue work they actually love.

Why did your original talk resonate so widely?

We steer kids to financially safe careers, not fulfilling ones. Most people will spend about eighty thousand hours working, and many report low engagement. You deserve more than grinding at something you don’t enjoy.

What are the core principles that help people take the less obvious path?

Be obsessively curious and self-teach on your own time. If you’d rather study your field than binge a show, that’s a strong signal. Knowledge compounds fast when you love the subject.

Rogan once said he isn’t great at discipline but great at obsession. That tracks with what you see in founders.

Passion fuels endurance and learning. Angela Duckworth would now put more weight on passion than grind, because without love for the work you burn out.

Let’s hit “go where the action is,” because serendipity matters.

Proximity multiplies preparation and opportunity. You learn faster, meet peers and mentors, and increase your odds of lucky breaks. Epicenters still matter even with great online tools.

Give us the Bob Dylan example.

Before New York, he went insanely deep on folk, to the point he could mimic anyone. Then he hitchhiked to find Woody Guthrie and landed in the center of the scene. Like Picasso, he mastered fundamentals before innovating.

Virtual peer groups can work too. How did MrBeast do it?

He found three equally obsessed YouTubers, and they lived on a Skype call, sharing best practices for years. Four people doing intense reps together compresses time.

How should listeners find peers?

Do it locally and online. The two tests are trust and shared hunger to learn. Avoid zero-sum strivers. And make friends with people who openly share, like Mike Maples does in writing.

Give us a pivot story like Danny Meyer’s.

He was making real money selling anti-theft clips and prepping for the LSAT. An uncle cut through the fog and said, you know you want restaurants. He took a low-paying job to learn, then staged across Europe. That intent set up Union Square Hospitality and Shake Shack.

On doing unpaid work to accelerate learning, any wild example?

Jen Atkin, now a top hairstylist, used to sneak into Paris Fashion Week and volunteer to do models’ hair just to get reps. Bold, but it worked.

How should someone pitch a risky switch to family or a partner?

Time-box it like Sal Khan did. Or moonlight first. Your genuine fascination should be obvious if you’re already self-learning. We also profile later pivots, like Tito Beverage mapping loves and skills, then teaching himself distilling, changing Texas law, and funding with credit cards.

Any AI-era sanity checks when choosing a path?

Many so-called safe jobs are now risky, including computer science. Whatever you do, use AI like a modern tool. Know your field’s history and the cutting edge. Talent is real in arts and sports, but there are many supporting roles in those worlds too.

What feels resilient in an AI world?

Experiences with humans at the core still matter, like restaurants and hospitality. And entrepreneurs who lean into AI run faster. I met a young founder in Texas using AI to make better decisions and scale at triple speed.

Tell Sam Hinkie’s pivot.

He read Moneyball, decided to chase sports analytics, used business school as a pivot, chose Stanford for its openness, and within a decade became the Sixers’ GM. Intent, proximity, and mentors made the difference.

One book you think all business builders should read?

Michael Porter’s Competitive Strategy. And my book lists many more to kickstart learning.

How do you avoid mistaking normal pain for the wrong path?

I ended my book with It Ain’t Easy, a catalog of darkest hours. Use peers for perspective. Daniel Pink’s work on regret and Bezos’s regret minimization help too. If you truly don’t want to do something for the rest of your life, that’s your cue to pivot. I had two careers before VC and knew when it was time.

What’s next for you after this book?

I’m exploring a policy institute called P3: Purpose, Progress, and Prosperity. I loved doing deep prep for our Diablo Canyon episode and watching how fast the nuclear narrative shifted. I want to back big, practical ideas with research grants and help move policy mindsets.

What might that work look like?

A professor pitched a global database scoring regulatory capture and highlighting best practices. For context, Stigler showed regulation often protects incumbents. I’d also bring transparency to political fundraising, even putting donations on-chain. State-by-state experiments could drive healthy competition, like a bold teacher pay move.

Your take on intellectual property and fairness in markets?

I’m a huge believer in open source. Ideas spread faster when they’re shared. Patents often slow that down. NIH grants could come with open rights. In software, patents rarely drive success. Tesla opened its patents. Drug exclusivity is a special case and often overprotective.

AlphaFold’s release was a huge public good. Any link back to AI’s rise?

The original paper was open, and OpenAI wouldn’t be where it is without those open breakthroughs. China embraces open source and has intense competition among models. That ecosystem is highly innovative. Open source can also be a strategic move, like Android was.

Open source can be a defensive move, not just an offensive one. I’d love to see Amazon, Apple, and even Meta back a shared open model so no single rival locks in a huge proprietary edge.

Walk us through how the IPO process is broken with a simple example.

When a company goes public, bankers gather orders, then decide who gets shares and at what price, instead of letting supply and demand set both. This could be handled algorithmically, but they keep control because it lets them gift underpriced shares to favored clients.

I even found a 1999 Goldman email bragging about using hot deals to reward top customers, and the absence of SEC pushback still frustrates me. Tokenized offerings and direct listings already price and allocate by algorithm, so there’s a clear, fair alternative.

The same theme shows up in payments: Visa and Mastercard skimming around two and a half percent feels untenable as stablecoins gain steam, and I think they’re vulnerable within five years. Most of these distortions trace back to regulatory capture.

So incumbents shape the rules to protect themselves and box out challengers, right?

After the 2009 reforms, we saw more bank consolidation and basic services like free checking disappeared, which hit lower-income customers hardest. People who struggle to pay bills lost the tools they relied on.

And that means it harms everyone, not only would-be disruptors.

Healthcare is a stark case: barring physicians from running hospitals wiped out a lot of potential competition in one move. There are countless similar constraints in that system.

Six months after launch, what would make the book a success in your eyes?

It started as a passion project with no financial goal, and I’m launching a foundation to fund people who want to pursue their dream work but lack the money, alongside my work on P3. What matters to me is impact—like the UT talk that already nudged some listeners—and helping more people step out of the purely pragmatic lane.

When folks do that, they often break out in surprising ways and lift many others; look at how many lives Danny Meyer’s trajectory has touched.

Check out Bill’s book, Running Down a Dream, about building a career you truly love. You can find him on X at bgurley and at Benchmark dot com—anywhere else you’d like to point people or anything you want to mention before we start to...