Goldman Sachs Exchanges
Goldman Sachs Exchanges

‘The Technology Opportunity of Our Lifetimes’: Bessemer's Byron Deeter

In the latest episode of Goldman Sachs Exchanges: Great Investors, Byron Deeter, a partner at Bessemer Venture Partners, discusses the venture capital landscape and the most promising developments in artificial intelligence and the software industry with Goldman Sachs’ Ken Hirsch. This episode was r

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Goldman Sachs HostByron Dieter Guest

Topics Discussed

Episode Summary

Executive Summary: Byron Dieter traced his path from founder-operator to Bessemer VC and argued that the biggest venture opportunities now come from AI, where small teams can build category-defining companies with massive capital and talent leverage. He emphasized Bessemer’s founder-first process, its anti-portfolio learning culture, and a shift toward full-service platform support as AI reshapes company building, monetization, and market sizes.

Main Topics: From entrepreneur to venture investor (Priority: 5/5): Dieter described founding Trigo Technologies, selling to IBM, and joining Bessemer after experiencing firsthand the value of truly supportive investors. He said his operator background helps him empathize with founders and judge opportunities more realistically. Bessemer’s culture and anti-portfolio mindset (Priority: 4/5): The conversation highlighted Bessemer’s long history, humility, and learning culture, especially the anti-portfolio that documents major missed opportunities like Tesla and Atlassian to reinforce disciplined reflection on omission risk. How Bessemer makes investment decisions (Priority: 5/5): Dieter explained Bessemer’s empowerment-driven process, where partners can “pound the table” for deals, combined with sector roadmapping to move quickly and back leaders in fast-changing markets. AI as a generational technology wave (Priority: 5/5): Dieter argued AI is the most consequential technology shift of his career, comparable to cloud but larger in scope. He believes value will move from infrastructure to models to apps, and that AI will transform productivity, healthcare, education, and software creation. Market expansion and TAM inflation in software (Priority: 4/5): He stressed that the key to venture outcomes is often expanding the market horizon—adding adjacent products, payments, or services. He cited cloud-era lessons and said AI companies are now “adding a zero” to what businesses can address. Capital, syndication, and scaling in the AI era (Priority: 4/5): Dieter said AI investing requires much larger capital commitments and more collaboration among firms. Bessemer aims to stay relevant across seed, early, and growth stages while co-investing to fund companies through deep infrastructure and model-building cycles. Founder performance, sports, and wellbeing (Priority: 3/5): The discussion closed with Dieter’s passion for athletics and his STRIVE program, which supports founder fitness, sleep, mindfulness, and mental health—reflecting his belief that elite performance depends on whole-person support.

Key Arguments: The best venture investors learn from both wins and omissions; the anti-portfolio is a tool to institutionalize that learning. Operator experience makes a VC more useful because it builds empathy for the founder’s daily reality and increases judgment about what truly matters. In venture, the goal is not to predict the entire future but to identify already-strong teams and help change the slope of their growth. AI has created unprecedented leverage: very small teams can now build businesses that previously required large organizations. The biggest AI opportunity will likely unfold from infrastructure to models to applications, with apps capturing more value over time. Historic cloud lessons suggest market sizes are routinely underestimated; many “small” early exits became enormous businesses later. Bessemer’s process favors speed, conviction, and partner autonomy rather than committee-heavy veto structures. Deep capital needs in AI force VCs to think across financing layers and collaborate with other firms to support companies through scale. The future winners may be answer engines, productivity tools, and AI-native products that reduce time spent in traditional applications. Founder performance support matters because sleep, nutrition, and mental health directly affect decision-making and company outcomes.

Data Points: Companies backed by Byron Dieter valued over $1B: 26 - He noted that he has backed 26 companies currently valued above one billion dollars. Bessemer history: 100+ years - The firm traces its roots back more than a century to a co-founder of Carnegie Steel. Twilio seed check: $125,000 - Dieter cited Twilio as an example of a small seed investment that later became highly significant. Cornerstone onDemand IPO size: $700M–$750M - He described his first IPO with Goldman Sachs as Cornerstone onDemand, which went public at this approximate valuation. Cornerstone onDemand run rate: $55 million - He referenced the company’s revenue scale before IPO. Bessemer portfolio/firm scale: 150 IPOs and counting - Used to illustrate the firm’s network and ability to syndicate and re-partner with successful founders and investors. AI bets size: 10 figures deep - He said Bessemer has invested heavily in pure-play AI companies and adjacent AI reinventions. NVIDIA market cap: plus or minus $4 trillion - Used as an example of infrastructure-layer value capture in AI. Growth in company scale: $200 billion - He referenced Shopify as an example of a company that vastly outgrew its early exit expectations. Early venture approval rate: 99.9% no - He said venture is an extremely selective business and most opportunities are declined.

Pivotal Quotes: "the crimes of omission are much greater than the crimes of commission" — Byron Dieter: Explaining why Bessemer emphasizes the anti-portfolio and learning from missed opportunities. "the Hippocratic Oath of Adventure definitely applies, which is do no harm, first of all" — Byron Dieter: Describing how Bessemer supports founders: first avoid interference, then help with capital, talent, partnerships, and advice. "This is the next phase of cloud" — Byron Dieter: Characterizing AI as the continuation and expansion of the cloud computing wave, not a separate phenomenon.

Implications: Listeners should expect AI to create outsized companies faster, with smaller teams, larger capital needs, and new product categories. Venture firms that combine conviction, speed, and founder support will be best positioned to win.

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