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

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.