If I Started Investing In 2026, This Is What I Would Do! | Bill Gurley

Bill Gurley’s 2011 Uber investment grew out of work he had already done on OpenTable and marketplace network effects. OpenTable showed him that adding digital infrastructure to an offline industry could create new consumer value and a reinforcing loop in which more consumers attracted more suppliers and vice versa. :chatgpt-content-reference{index="0"}

OpenTable challenged the conventional view that selling technology to restaurants was economically unattractive. Gurley’s counterargument was that if the network effect became strong enough, customer acquisition would become easier as the network grew.

OpenTable also demonstrated that digitization could create capabilities that had not existed offline. Instead of calling restaurants individually, a consumer could search parametrically for something like a Mexican restaurant for eight people at 8 p.m. on Thursday.

Gurley had independently become interested in digitally transforming ground transportation before Uber reached him. His years of business travel had exposed the inefficiency of traditional black-car service: the car could cost roughly as much as the flight while the driver spent much of the day waiting outside meetings.

He examined many transportation startups but disliked those built on top of existing taxi systems. Taxis were often monopolies or duopolies, heavily regulated, unable to use flexible pricing effectively, and saddled with a poor customer experience that a software layer alone would not fix.

Dynamic pricing was particularly important to Gurley’s marketplace thesis. He believed a digital transportation marketplace needed price as a tool for creating liquidity and encouraging enough drivers to appear when demand increased.

Before seeing Uber, Gurley told his Benchmark partners that they should aggressively pursue any company building a digital marketplace on top of black cars rather than taxis. When that opportunity appeared, Benchmark actively chased it.

Gurley did not claim that his transportation insight was uniquely original. He noted that Uber co-founder Garrett Camp had probably reached similar conclusions and argued that startup ideas frequently occur to multiple people at roughly the same time.

His broader conclusion is that execution matters far more than having the idea first. Founders who complain that somebody copied their concept often overestimate the uniqueness of the idea itself; what separates companies is how well they execute.

One of Gurley’s primary founder tests came from Jeff Bezos: “determinism.” Bezos told Gurley he wanted founders who were going to pursue the mission “come hell or high water,” regardless of whether Bezos invested.

Gurley considers sales ability fundamental to the founder role. Founders must sell customers, investors and recruits while simultaneously selling the internal culture and representing the company to the outside world through public relations.

He does not believe effective salesmanship requires one personality type. A quiet, understated founder can sell effectively just as a table-pounding personality can; timidity and an inability to persuade are the larger problems.

Gurley eventually came to believe that exceptional founders also have to be unusually good at product. Technology companies often emerge from a technological discontinuity, and product instinct helps a founder understand and exploit that change before others do.

Hyper-curiosity is another recurring founder trait in Gurley’s experience. The strongest founders immerse themselves in emerging technology every day rather than treating new tools—currently AI—as something they can understand from a distance.

Prior entrepreneurial success is not a prerequisite in his framework. Gurley pushed back on using a previous exit as a simple screening criterion and said investors should instead examine why previous attempts failed.

Travis Kalanick’s earlier failed companies became an example of failure potentially increasing determination rather than disqualifying a founder. Gurley borrowed Josh Wolfe’s phrase, “Chips on shoulders put chips in pockets,” to describe how setbacks can produce additional drive.

Gurley believed Kalanick understood that Uber had a kind of product-market fit his earlier ventures never possessed. He thought Kalanick recognized that even a brilliant operator could not have rescued the earlier businesses if their underlying opportunity was weak.

That recognition may have intensified Kalanick’s commitment to Uber. Gurley described him as understanding that truly exceptional entrepreneurial opportunities do not appear repeatedly and therefore giving the opportunity everything he had.

One of the hosts said his own failed ventures before School of Hard Knocks had likewise produced skills and lessons that later contributed to the business that succeeded. The exchange reinforced the distinction between failure that teaches and failure caused by unwillingness to execute.

Gurley says investors also need an instinct for whether the underlying business structure can scale. His four years on Wall Street before venture capital helped him think about which economic structures could realistically become very large businesses.

He qualified his advice about scaling a podcast or other service business because it was not a category in which he had invested heavily. His broader lesson was that even services have a craft, and the strongest operators study the mechanics of winning that craft.

Gurley cited MrBeast as an unusually strong example of treating a new medium as a craft to master. Jimmy Donaldson approached YouTube almost as a game whose rules could be discovered through obsessive study and experimentation.

Gurley added a structural go-to-market advantage to his list of traits found in many exceptional companies. The best founders often discover a meaningfully better method of acquiring customers than the traditional approach used by competitors.

His own recent Instagram growth became an example of specialized go-to-market knowledge. A stranger cold-called him, offered to manage the account free for 30 days, and, according to Gurley, helped move it from roughly 50 followers to about 15,000 in four weeks.

That experience reinforced his belief that every emerging medium develops techniques that outsiders may not know. In a service business especially, product, distribution, reputation and self-promotion can become difficult to separate.

Gurley had two careers before venture capital. With an undergraduate computer-science background, he worked about two years as an engineer at Compaq Computer in Houston, earned an MBA, and then spent roughly four years as a sell-side analyst.

He had considered venture capital while studying for his MBA at the University of Texas but could not see a practical route into it at the time. His interest in public technology-company research instead led him into Wall Street analysis.

In both engineering and equity research, Gurley eventually asked himself whether he wanted to be doing the same work 30 years later. When the answer became clearly no, he began looking for the next career rather than remaining because the existing one was successful.

He later connected that instinct with Jeff Bezos’s “regret minimization” framework. Gurley framed major decisions around what an older version of himself would wish he had done rather than only optimizing the immediate situation.

A timely phone call gave Gurley an opportunity to move to the Bay Area just as he had decided to leave his previous career, and he took it. Venture capital had remained in the back of his mind throughout his earlier careers.

The hosts reframed the same idea as asking whether a decision would make both their eight-year-old and 80-year-old selves proud. Gurley connected it with Stephen Covey’s principle of beginning with the end in mind.

One of Gurley’s most consequential misses was Google when the company had roughly 25 employees. Early in his venture career, he met Larry Page and Sergey Brin, brought them in to present to his partnership, but the firm failed to pursue the investment aggressively enough.

Gurley deliberately says Benchmark “failed to lay chase” rather than simply saying it passed on Google. He does not know whether the firm actually could have won the investment, only that it failed to keep pursuing the opportunity.

John Doerr and Mike Moritz subsequently invested in Google. Seeing two investors Gurley deeply respected aggressively pursue something his own partnership had stepped away from became an important moment of self-examination.

Gurley eventually learned that great venture investors often have spectacular “miss lists” precisely because they consistently put themselves in position to encounter exceptional companies. No investor can convert every opportunity, so the presence of major misses is not automatically evidence of poor investing.

There were understandable signals working against Google at the time. Yahoo’s stock had reportedly fallen from roughly 82 to 10 during the dot-com collapse, Excite was failing, and Page and Brin were PhD students who wanted to act as co-CEOs—both characteristics Gurley then regarded as warning signs.

He nevertheless regards the Google decision as wrong and potentially useful fuel for the rest of his career. It taught him how dangerous apparently sensible pattern-recognition rules can become when they screen out an extreme winner.

Venture mistakes are asymmetric. Gurley illustrated that losing a $5 million investment costs the original $5 million, whereas failing to invest $5 million in a company such as Google can forfeit returns orders of magnitude larger.

That asymmetry led Benchmark toward the question “What could go right?” rather than concentrating only on downside risk. Gurley credited partner Bruce Dunlevie with the phrase.

Benchmark spent considerably more energy studying winners it had missed than investments it had made that failed. Gurley said the partnership periodically reviewed deals completed by competing venture firms—roughly four times a year—to understand what it had overlooked.

Gurley was not a founder of Benchmark; he was among its first non-founder partners. He gives the original partners credit for designing the firm's unusual organizational model.

Benchmark was deliberately built as an equal partnership rather than a conventional professional-services hierarchy. Partners received the same economics and the same formal decision-making power instead of dividing people into junior, senior and managing-partner tiers.

The founders saw hierarchical partnerships as structurally unfair because younger people could perform much of the work while senior partners captured disproportionate economics. Gurley also clarified that venture firms generally invest mostly outside limited-partner capital rather than money personally supplied by senior partners.

Benchmark’s structure was especially attractive to Gurley because he had just spent about a year and a half as a junior employee inside a hierarchical venture firm. Joining Benchmark immediately placed him economically alongside four much more experienced investors.

Equal economics aligned those senior partners with Gurley’s success. If he discovered an exceptional company, everybody benefited, giving experienced colleagues a direct incentive to help him instead of viewing him as an internal competitor.

Gurley contrasts this with “up or out” environments, where younger partners may become sharp-elbowed because one person’s advancement can come at another’s expense. Benchmark’s model reduced the need to “look over your shoulder.”

The important downside was that Benchmark was poor at scaling internal organizational projects. With no conventional boss or hierarchy, nobody could simply order the partnership to build an elaborate internal operation.

Its minimalist website became an example. Matt Cohler volunteered to improve it, eventually discovered that no other partners wanted to devote significant time to it, and later proposed taking the full site down; the partnership accepted a simple splash page instead.

Gurley ultimately regarded that lack of overhead as an advantage because venture capital is a service business. Less time administering Benchmark meant more time outside meeting founders, sourcing investments and helping portfolio companies.

The environment suited highly independent self-starters more than people who required extensive training, management or structure. Partners met together on Monday and otherwise spent most of their time independently in the market.

Industry structure is one of the most overlooked variables in Gurley’s investment analysis. He recommends the opening chapters of Michael Porter’s Competitive Strategy because a good product can still face brutal economics if it sells into the wrong market structure.

Gurley generally prefers fragmented supply to consolidated supply when building marketplaces. Fragmentation gives a new platform many independent suppliers to recruit, whereas a small number of entrenched suppliers can block entry.

He used Ticketmaster and Live Nation as an example of why concentrated supply makes marketplace disruption difficult. If key venues are already contractually or structurally tied to an incumbent, a challenger cannot easily create the supply side required for a competing network.

OpenTable and Uber benefited from forms of fragmented supply that could support network effects. This made them fundamentally different from markets where access to a handful of powerful suppliers determined whether the platform could exist.

Success in one investment category can itself create a secondary network effect for a venture capitalist. Founders begin approaching investors who have relevant expertise because those investors may both understand the business better and confer credibility by backing it.

Gurley believes the spread of smartphones helped create the particular opportunity set in which he developed marketplace expertise. His reputation therefore reflected both deliberate specialization and unusually favorable technological timing.

Gurley stopped making new investments roughly four years before the interview and shifted much of his attention to writing his book. He consequently resisted pretending that he still had the best answer about which specific industries would be disrupted next.

He nevertheless described venture capital at the time of the interview as overwhelmingly focused on AI. He estimated that roughly 98% of venture investors were concentrating on AI and said non-AI company valuations had been cut sharply—by about half in the preceding five weeks.

His practical message to non-AI founders was not to pretend the capital environment could simply be sold around. Whether or not the concentration on AI was rational, he said it represented the actual “game on the field.”

Gurley could see arguments both for and against the AI concentration. Historically, venture fortunes are often made by getting ahead of a major technological wave, but excessive groupthink can also create openings for contrarian investors elsewhere.

He even suggested that private-equity investors might find opportunities rolling up overlooked older businesses while venture capital is concentrating elsewhere. This was presented as a consequence of capital leaving non-AI categories, not as a prediction that every such strategy would work.

Writing has been one of Gurley’s professional differentiators for most of his career. He believes putting an argument into writing forces intellectual consistency while simultaneously building reputation, relationships and inbound deal flow.

He describes public writing as “flypaper” for opportunities. In the current media environment, he believes many venture investors use podcasts for essentially the same reason he once used blogging.

Gurley developed a habit of recording ideas long before he knew whether they would become published work. His idea folders contained roughly three or four times as many concepts as ultimately became blog posts.

The seed for Running Down a Dream began roughly a decade before publication while Gurley was intensely reading biographies. Three very different biographies revealed a common pattern to him, which he recorded as a possible blog-post idea and then left dormant.

The concept returned when the University of Texas business-school dean invited Gurley to address MBA students. Gurley developed the idea into a presentation called Running Down a Dream, centered on succeeding and thriving in a dream career.

The university posted the presentation to YouTube, where the response persuaded Gurley that the idea had broader potential. People began telling him it should become a book, and James Clear shared the presentation on his own site.

After leaving active venture investing, Gurley spent roughly five years expanding the presentation into the book. He said he studied hundreds of biographies and academic literature dealing with careers, happiness and professional success.

His research also included conversations with Adam Grant, James Clear, Angela Duckworth, Daniel Pink and Jonathan Haidt. Gurley presented the book as a deeply researched project rather than a collection of venture-capital anecdotes.

The book was scheduled for release on February 24. Gurley also narrated the audiobook himself, saying the recording took about 17 hours.

Gurley’s central ambition for the book is to encourage people who discover the work they truly care about to commit fully to it. He illustrated this with Matthew McConaughey’s story of telling his father that he wanted to leave pre-law for film and receiving the response, “don’t half-ass it.”

Gurley sees that parental response as unusually powerful because it gave McConaughey permission to choose his own craft while still demanding complete commitment. Gurley wants the book to provide readers with a similar push.

He is critical of what he calls the “college industrial complex” or educational “conveyor belt.” In his view, increasingly standardized competition produces highly credentialed but less differentiated young people without giving them enough room to discover a craft they genuinely love.

One host connected the point with an interview he had conducted with NFL player Myles Garrett. The host said Garrett’s high-school coach and athletic director pushed him to choose between his exceptional basketball and football paths with the advice to go “all in or all out.”

The discussion emphasized that parents often push children toward economically safe careers for understandable rather than malicious reasons. Gurley, who has three children in their twenties, said the instinct to protect a child’s financial stability is extremely strong.

He nevertheless believes parental anxiety combined with the hyper-competitive U.S. education system can suppress experimentation, creativity and career discovery. The problem, in his framing, is not that parents do not care but that safety can crowd out exploration.

Gurley described a father who had seen the original Running Down a Dream presentation and reconsidered his son’s career path. The son was formally on a finance track but spent nearly every free moment studying basketball, athlete valuation and the emerging economics of NIL payments.

According to Gurley, the father moved from anxiety toward acceptance and then active support for a basketball-related career. Once he became supportive, he reported a major increase in his son’s confidence and an improvement in their relationship.

Gurley said he personally grew up without strong parental pressure to follow a predetermined career. He contrasted his childhood—when children could roam, play and explore independently—with what Jonathan Haidt and others have described as today’s highly managed “resume arms race.”

He criticized the practice of programming children from an early age with endless résumé-building activities. His examples included music, sports, chess, foreign languages and volunteering, with less unstructured time left for simple play and self-directed discovery.

Gurley’s father provided a concrete model of taking career risks. Fascinated by model airplanes as a child in rural North Carolina, he became an aeronautical engineer at NC State and worked in a wind tunnel at Langley.

Gurley said his father and roughly 40–50 colleagues were later invited to move to Houston and help start NASA, and his father immediately took the opportunity. That decision is why Gurley grew up in Houston and identifies strongly as a Texan.

Knowing his father had made such a leap helped normalize major geographic moves for Gurley. He attended the University of Florida, later moved to New York on his own, and ultimately moved again to Silicon Valley.

Gurley is 6 feet 8 inches tall and said he practiced with the basketball program at the University of Florida. The personal detail arose while discussing his college years rather than as part of his business career.

The hosts said moving away from Northern Virginia to Austin was one of their own most important decisions. They described growing up in military families in a highly structured Washington-area environment and finding Austin more collaborative and entrepreneurial.

Gurley’s related principle is not simply “follow the money” but “go to the epicenter.” He argues that ambitious people should place themselves where the best practitioners of their chosen craft are concentrated so they can learn faster.

His own move to New York was motivated by wanting to become an elite sell-side analyst, not just by New York’s financial wealth. The strongest analysts, relevant clients and learning opportunities were concentrated there.

He gave similarly specific examples for other crafts: songwriters should seriously consider Nashville, while someone pursuing Hollywood filmmaking should be in Hollywood. Geographic concentration accelerates learning, relationships and exposure to the highest standard of work.

The book alternates two chapter types: “profiles” and “principles.” Profiles tell the stories of unusually successful people, while principles extract Gurley’s broader lessons about how excellence develops.

He believes alternating narrative profiles with practical principles makes the ideas easier to read and remember. MrBeast is among the people profiled.

“Go to the epicenter” is one of those principles, alongside ideas such as honing your craft, continuous learning, embracing peers and mentorship. Gurley argues that being physically or socially close to a field’s strongest practitioners accelerates all of those activities.

MrBeast’s early peer group became a powerful example of learning through competitors rather than hiding information from them. Donaldson and a small group of other YouTubers repeatedly exchanged discoveries about what worked even while competing for the same audience.

Gurley repeated Donaldson’s claim that an additional person simply sitting in on those early calls could have made a million dollars from the knowledge being discovered. The point was that the group was uncovering platform mechanics while YouTube was still poorly understood.

Their experiments reached extremely small details, including elements such as thumbnail colors. Running many experiments across several creators let the group learn much faster than each member could have learned alone.

The broader lesson is that education cannot stop when formal schooling ends. Gurley argues that people who want to remain elite must continuously study the changing “edge” of their field rather than simply showing up to work.

AI is now creating a new competitive edge across many professions, not only inside AI companies. Gurley’s argument is that anybody who wants to remain among the best in a field must understand whichever new technologies are changing how that field operates.

The first principle Gurley identified from the book is “chase your curiosity.” People should notice what they voluntarily obsess over because that curiosity can identify the craft in which they are willing to perform the continuous learning required for excellence.

That principle is paired with “hone your craft.” Gurley suggested that an aspiring podcaster should eagerly study the dozen most successful podcasters and understand what makes each one effective; if that work sounds unbearably boring, podcasting may not be the right obsession.

Gurley cited Bret Taylor and Shopify’s Tobi Lütke as examples of leaders whose obsessive curiosity remains obvious even after major success. He listens closely to people like them because they continue studying where technology and business are heading.

He described Sierra, Bret Taylor’s AI customer-service company, as an example of a leader pursuing the newest technological frontier after having already reached the top of a major established company. Taylor had previously served as co-CEO of Salesforce.

Differentiated deal flow is essential for venture-capital success. Investors cannot simply wait for great companies to appear; they need a reason founders or intermediaries will consistently bring unusual opportunities to them.

Different investors build that advantage differently. Gurley used blogging, said he would probably use a podcast today, hosted BG2 for a period, and noted that Jack Altman’s Uncapped serves a similar inbound function.

Other investors create deal flow through obsessive networking, deep vertical expertise or geographic dominance. Gurley regards the old “geographic king” model as less common today but cited Austin Ventures as an example of the approach.

Gurley believes venture capital structurally favors youth, although youth by itself is nowhere near sufficient. Young investors can be closer in age and culture to emerging founders and can sometimes absorb new platforms and technologies faster than established investors.

Age can also make the intensity required for frontier investing harder to sustain. Gurley noted that successful older investors often accumulate wealth, homes, children and other commitments that make 16-hour days of obsessive specialization less realistic.

There are far more people who want venture-capital jobs than there are good roles available. Gurley therefore warned that simply being young or enthusiastic does not create an advantage; an aspiring investor still needs genuine expertise and differentiation.

A young investor can compete with an experienced generalist by going extraordinarily deep on a narrow emerging field. Gurley gave new interfaces for AI as an example: know the key people, build relationships, document best practices and understand the subject more deeply than a veteran who divides attention across many industries.

That edge is about information as much as relationships. A founder may value a young specialist because the investor possesses current knowledge the founder actually needs, not simply because they belong to the same social circle.

Startup financing is not necessarily zero-sum for individual investors. Since founders may place several people on the cap table, a new investor does not always need to defeat an established investor; the immediate objective can simply be to become useful and distinctive enough to earn a place.

Gurley said the average age of a new Benchmark partner entering as a full equal partner is about 30. He also pointed to the recent addition of Jack Altman, likewise around 30, as evidence that the firm's structure continues to favor relatively young investors.

For a young person trying to enter venture, Gurley recommends finding a firm for which their specific expertise fills a missing piece. An aging partnership that knows an emerging technical area matters but lacks anyone immersed in it may find such a candidate unusually attractive.

He does not see the conventional “get an MBA and apply to posted VC vacancies” route as representative of how most venture investors enter the profession. The better approach is to become so relevant to a specific need that a firm wants you even if it was not formally recruiting.

Gurley calls this becoming a “candidate of one.” Rather than competing as one interchangeable applicant among hundreds, create enough unique value that an organization effectively creates a position around what you can contribute.

He sees an irony in highly standardized education producing people who are harder rather than easier to protect from AI disruption. If everybody acquires nearly identical credentials and skills, they become easier to substitute; obsessive learners with unusual expertise remain more differentiated.

Gurley’s final advice to younger people was: “Do the work you can’t ignore.” His test is to notice what you independently yearn to understand and then run toward it rather than choosing solely on prestige or conventional security.

Four years earlier, Gurley says he would have defined his desired legacy mainly through venture capital. He wanted to be remembered for doing the job independently, publicly challenging industry thinking when he disagreed, and contributing knowledge through his writing rather than simply making money.

He now thinks Running Down a Dream could become part of that legacy as well. Jason Calacanis had told him the book might ultimately be what he is remembered for, an idea Gurley said he would not have seriously considered five years earlier.