In this video, Bill Gurley, formerly a partner at Benchmark, shares mental models he often uses, including systems thinking, second- and third-order effects, and the importance of understanding both an industry's foundations and its bleeding edge. He also offers deep insights into the traits of outstanding founders, AI, venture capital, and the future of financial systems.
1. The Importance of Systems Thinking
Bill Gurley names systems thinking as the most important mental model for understanding the world. Drawing on his study of complex systems at the Santa Fe Institute, he explains that complex systems contain many variables and nonlinear characteristics, making them extremely difficult to predict. Because a change in one variable can push the entire system in an unexpected direction, it can be dangerous to think only through simple linear models or single variables.
"I think systems thinking is extremely important. Systems thinking means recognizing that when a change happens in one place, it can affect other places and eventually create cascading effects throughout the entire system."
Systems thinking helps avoid unexpected outcomes, especially second- and third-order effects. Gurley gives the example of a dating site that tested the hypothesis that longer profiles would increase engagement. In reality, the change hurt conversion. The point is that teams should not become trapped in a single metric; they must understand the broader context.
2. Investment Philosophy and the Value of Foundational Knowledge
Gurley began his career on Wall Street and recalls building a firm foundation of financial understanding by reading the books and writings of legendary investors such as Peter Lynch, Warren Buffett, Ben Graham, and Howard Marks. He especially admired Bill Miller, who showed that value investing is not merely about finding undervalued assets, but about judging whether today's price is cheap relative to future value. That perspective can even make growth stocks such as Amazon understandable through a value-investing lens.
Gurley argues that many Silicon Valley venture capitalists should develop a deeper understanding of finance. Wall Street is the buyer of venture capital's "product," so venture investors need to understand what Wall Street values.
"It is very important to understand the bedrock of your industry, and when you build innovation on top of that foundation, it plays a powerful role. If you think of Wall Street as the buyer of the product venture capital creates, you can see that what we create ultimately needs to be something they find interesting."
3. Understanding Industry History and the Bleeding Edge
Gurley stresses that a successful career requires both deep knowledge of the history of one's industry and curiosity about the bleeding edge. He cites Pixar's John Lasseter, who had vast knowledge of animation history, and chess champion Magnus Carlsen, who won chess-history quizzes, as examples of how historical knowledge can differentiate a person.
He adds that in 2026, when large language models make it easier than ever to acquire information, this kind of learning has become even more important. He also mentions that Picasso was already an excellent realist painter at age 14, emphasizing that innovation happens on top of strong fundamentals.
"I think you really need to understand the old stuff, the history, because it differentiates you, shows passion, and gives you a great way to think. But at the same time, you also need to truly understand the new bleeding edge. If you do both, you become a formidable player in your field."
Successful founders practice obsessive learning, constantly tracking market changes and the latest technology trends. In the AI era, the bleeding edge moves extremely quickly, and keeping up with it becomes a competitive advantage.
4. How to Use AI and What Comes Next
Gurley advises people not to underestimate AI's capabilities. Rather than simply asking a question and receiving an answer, users can ask AI to perform multiple layers of analysis, classification, and ordering in a single prompt to get deeper results. He uses many AI models himself, choosing specific tools for specific tasks, such as Gemini for restaurant information, Claude for coding, and Perplexity for financial analysis.
On the future of AI models, he says it is unclear whether one model will dominate everything or whether many niche models specialized by domain will emerge. But he pays attention to the many open-source AI models emerging from China and the different innovation ecosystem they are creating.
"If our models have to comply with certain rules and China's open-source models do not, that can clearly have an effect. I think the competitive environment in China is more intense, so they may be able to innovate faster."
He also discusses the impact of regulation on the AI industry. Strict regulation may deepen oligopoly among giant companies, and some companies may intentionally welcome regulation because it raises barriers to entry.
On how AI affects investing, Gurley believes specialized models for particular domains will be more useful than one universal model that solves everything. He predicts that AI models trained on deep domain data in areas such as law and medicine could become highly valuable.
5. Fundraising and Market Dynamics
Gurley says the current venture market is in a state of overfunding. Amounts of money that once would have been hard to imagine are now flowing into AI-related companies, because companies that raise large amounts of capital pursue fast growth through enormous capital expenditure. This is intensified by so-called circular deals, where a cloud provider invests in an AI startup and the startup then spends money back on that cloud provider. This can accelerate growth, but it can also inflate bubbles and create the possibility of a future correction.
"The entire venture capital community strongly believes in increasing returns and power laws, so it tends to take more risk and invest more based on expectations about the future. Any successful company will have investors knocking on the door to put in more money."
He also discusses the role of retail investors and the impact tokenization could have on venture markets. If tokenization enables trading in private-company shares, speculative volatility and manipulation risks could increase. One reason companies stay private, he explains, is that they want freedom from this kind of market chaos.
6. The Future of Financial Systems and Stablecoins
Gurley criticizes the current IPO process as unfair. Banks set the share price and choose shareholders in a way that gives privileges to some participants, unlike a normal auction. He sees direct listings and tokenization as possible ways to reduce this unfairness and introduce more fair market mechanisms.
He also predicts that stablecoins could become a major threat to existing credit-card systems such as Visa and Mastercard. In the United States, bank lobbying has delayed the adoption of instant-transfer systems, preserving a structure in which credit cards charge fees of 2-2.5%. In contrast, many countries, including the United Kingdom, Australia, India, China, and Argentina, have government-led instant-transfer systems with almost no transfer fees.
"Stablecoins run on crypto rails, so they are very fast and can move money instantly around the world. Bank transfers are expensive and slow, but with stablecoins you can send and receive money in seconds for just a few cents."
A stablecoin is a cryptocurrency backed by assets such as U.S. Treasuries so that one coin represents one dollar. Stablecoins have the potential to overcome inefficiencies in the existing financial system and provide cheap, fast transfers. Gurley thinks stablecoins may become mainstream before the U.S. government's FedNow project does.
7. Storytelling and Product Instinct
Gurley identifies storytelling and product instinct as important traits of successful founders. He says he learned storytelling from new journalism, the style of writers such as Malcolm Gladwell and Michael Lewis who make nonfiction read like fiction.
For founders, storytelling is essential in every part of the business: recruiting employees, hiring executives, raising money, acquiring customers, and forming partnerships. As Jeff Bezos emphasized with six-page memos, expressing ideas clearly in writing helps solve problems and develop ideas. Such writing also becomes a calling card that attracts potential partners for fundraising.
"Storytelling is incredibly important. Founders are always selling something: hiring employees, recruiting executives, raising capital, acquiring customers, forming partnerships. The best founders are very effective at this."
Strong product instinct means understanding changes in new technology and using them to build products the market wants. Gurley says it is often innate and very difficult to acquire later. Finally, quoting Jeff Bezos, he emphasizes that great founders have the determination to finish what they are doing no matter how difficult it becomes.
8. Benchmark's Success and Leadership
Benchmark's success as a venture-capital firm comes from its equal partnership structure. Based on frustrations the partners experienced at more hierarchical firms, Benchmark created a system where every partner has the same ownership and authority, with no lead partner or CEO.
This structure produced several positive effects:
- Attracting talent: It was easier to recruit talented people who were dissatisfied elsewhere.
- Developing new partners: Because every partner has equal interest in a new partner's success, the culture strongly supports new partners' growth.
- Reducing politics: Political debates about annual compensation or reallocating ownership disappeared, making operations more efficient.
There are also disadvantages. Without a clear leader, it can be difficult to start new initiatives or push large projects forward. Benchmark's website is an example: in areas no partner owns, progress may stall.
In venture capital, reputation, or network effects, is crucial. A successful investment record acts like a magnet that attracts more promising startups. Gurley also says young investors can succeed by having deep understanding and passion for specific fields such as esports or YouTube content. He concludes that venture capital is a field that constantly changes and bends toward youth.
9. Bill Gurley's Definition of Success
Gurley says his definition of success has changed over time. His career as a venture capitalist was a "dream job," and he decided to stop when he felt he had done what he needed to do.
Now, influenced by Arthur Brooks's book From Strength to Strength, he wants to apply the skills he used to succeed in venture capital, such as blogging, problem analysis, and synthesis, to larger and broader social problems. His goal is to see whether he can "leave a small mark on the world."
"I now want to apply these skills to larger and broader problems in society and see if I can leave a little mark on the world."