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Invest Like the Best with Patrick O'Shaughnessy

David George - Building a16z Growth, Investing Across the AI Stack, and Why Markets Misprice Growth - [Invest Like the Best, EP.450]

66 min episode · 2 min read
·

Episode

66 min

Read time

2 min

Topics

Investing, Startups, Fundraising & VC

AI-Generated Summary

Key Takeaways

  • Growth Fund Structure: A16z growth team operates with single trigger-puller decisions instead of investment committees, encouraging intellectual honesty and faster execution. Team of 10 investors evaluates 30 companies weekly, with 70% of deployed capital going to existing portfolio companies where they have deep operational knowledge.
  • Market Leadership Premium: Technology markets consistently become winner-take-all, with 90% of value creation going to the number one player. There is no viable number two to Salesforce, Workday, or ServiceNow. Growth investors must identify and pay fair prices for market leaders, not settle for second-place companies.
  • Growth Rate Mispricing: Markets systematically undervalue companies growing above 30% because investors cannot naturally model persistent high growth. In 2009, consensus estimates for Apple in 2013 were off by 3x. Portfolio companies growing 112% annually at 21x revenue multiples represent better risk-adjusted returns than 12% growers at 15x EBITDA.
  • Technical Terminator Archetype: The most successful founders start deeply technical, build product first, then learn business operations. Ali Ghodsi at Databricks exemplifies this—began as one of seven cofounders on the open source project, became CEO later, now knows more about sales ops than most CEOs after learning the commercial side.
  • AI Business Model Evolution: Enterprise AI companies currently show 30-50% gross margins versus 70%+ for traditional SaaS due to inference costs. This is acceptable because customer value is orders of magnitude higher. Expect margins to improve as inference costs decline, settling around 50% rather than 80%, but with dramatically larger addressable markets.

What It Covers

David George explains how he built Andreessen Horowitz's growth investing practice, his strategy for backing market leaders like Databricks and OpenAI, why markets misprice consistent growth above 30%, and how AI will reshape enterprise software economics.

Key Questions Answered

  • Growth Fund Structure: A16z growth team operates with single trigger-puller decisions instead of investment committees, encouraging intellectual honesty and faster execution. Team of 10 investors evaluates 30 companies weekly, with 70% of deployed capital going to existing portfolio companies where they have deep operational knowledge.
  • Market Leadership Premium: Technology markets consistently become winner-take-all, with 90% of value creation going to the number one player. There is no viable number two to Salesforce, Workday, or ServiceNow. Growth investors must identify and pay fair prices for market leaders, not settle for second-place companies.
  • Growth Rate Mispricing: Markets systematically undervalue companies growing above 30% because investors cannot naturally model persistent high growth. In 2009, consensus estimates for Apple in 2013 were off by 3x. Portfolio companies growing 112% annually at 21x revenue multiples represent better risk-adjusted returns than 12% growers at 15x EBITDA.
  • Technical Terminator Archetype: The most successful founders start deeply technical, build product first, then learn business operations. Ali Ghodsi at Databricks exemplifies this—began as one of seven cofounders on the open source project, became CEO later, now knows more about sales ops than most CEOs after learning the commercial side.
  • AI Business Model Evolution: Enterprise AI companies currently show 30-50% gross margins versus 70%+ for traditional SaaS due to inference costs. This is acceptable because customer value is orders of magnitude higher. Expect margins to improve as inference costs decline, settling around 50% rather than 80%, but with dramatically larger addressable markets.

Notable Moment

George describes investing in Figma at $2 billion valuation after two years of relationship building. His team initially rejected it because the designer market seemed too small, until venture partners argued the engineering-design workflow was fundamentally changing, making traditional market sizing irrelevant.

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Episode Transcript

Here's an interesting question to think about. If your finance team suddenly had an extra week every month, what would you have them work on? Most CFOs don't know because their finance teams are grinding it out on lost expense reports, invoice coding, and tracking down receipts until the last possible minute. That's exactly the problem that Ramp set out to solve. Looking at the parts of finance everyone quietly hates and asking why are humans doing any of this? Turns out they don't need to. Ramp's AI handles 85% of expense reviews automatically with 99% accuracy, which means your finance team stops being the department that processes stuff and starts being the team that thinks about stuff. Here's the real shift. Companies using Ramp aren't just saving time, they're reallocating it. While competitors spend two weeks closing their books, you're already planning next quarter. While they're cleaning up spreadsheets, you're thinking about new pricing strategy, new markets, and where the next dollar of ROI comes from. That difference compounds. Go to ramp.com/invest to try Ramp and see how much leverage your team gains when the work you have to do stops getting in the way of the work that you want to do. To me, Ridgeline isn't just a software provider. It's a true partner in innovation. They're redefining what's possible in asset management technology, helping firms scale faster, operate smarter, and stay ahead of the curve. I wanna share a real world example of how they're making a difference. Let me introduce you to Brian. Brian, please introduce yourself and tell us a bit about your role. My name is Brian Strang. I'm the technical operations lead, and I work at Congress Asset Management. How would you describe your experience working with Ridgeline? Ridgeline is a technology partner, not a software vendor, and the people really care. I get sales calls all the time, and I ignore them. Ridgeline sold me very quickly. We went from 7,000,000,000 to 23,000,000,000, and the goal is 50,000,000,000. Ridgeline was the clear front runner to help us scale. In your view, what most distinguishes Ridgeline? They reimagined how this industry should work because obviously they were operating on another level. It's worth reaching out to Ridgeline to see what the unlock can be for your firm. Visit ridgelineapps.com to schedule a demo. One of the hardest parts of investing is seeing what's shifting before everyone else does. AlphaSense is helping investors do exactly that. You may already know AlphaSense as the market intelligence platform trusted by 75% of the world's top hedge funds, providing access to over 500,000,000 premium sources from company filings and broker research to news, trade journals, and over 200,000 expert transcript calls. What you might not know is that they've recently launched something game changing, AI powered channel checks. Channel checks give you a real time expert driven perspective on public companies, weeks before they show in earnings or consensus revisions. AlphaSense uses an AI interviewer to run …

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company

  • his strategy for backing market leaders like Databricks and OpenAI
  • In 2009, consensus estimates for Apple in 2013 were off by 3x.
  • There is no viable number two to Salesforce, Workday, or ServiceNow.
  • George describes investing in Figma at $2 billion valuation after two years of relationship building.
  • his strategy for backing market leaders like Databricks and OpenAI
  • There is no viable number two to Salesforce, Workday, or ServiceNow.
  • There is no viable number two to Salesforce, Workday, or ServiceNow.

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