# a16z's David George on the Most Controversial Bet at a16z & Do Margins and Revenue Matter in AI? Source: https://www.youtube.com/watch?v=IxoGRY6TXwk Recap page: https://rapidrecap.app/video/IxoGRY6TXwk Generated: 2025-12-15T15:33:08.12+00:00 --- ## Quick Overview Andreessen Horowitz (a16z) believes that the historical argument that large funds cannot achieve high multiples is false, pointing to their best-performing $1 billion fund which returned 7x on DataBricks and 5x DPI on Coinbase, attributing success to capturing a sufficient number of winners in growing tech waves where private market value creation is accelerating. **Key Points:** - a16z's best-performing fund in firm history was a $1 billion fund, demonstrating that large funds can achieve high multiples, with DataBricks returning 7x and Coinbase returning 5x DPI from that fund alone. - The majority of dollar gains (53%) from top IPOs between 2017 and 2025 occurred from Series C stage and later, indicating substantial value creation happens after earlier venture stages. - The growth fund charter includes fixing 'errors of emission' from the venture team by following on in companies they initially passed on, such as 11 Labs and Deal, based on the philosophy of investing in 'strength of strengths' rather than fearing theoretical competition. - The number of public companies has been cut in half over the last 20 years, and the Return on Invested Capital (ROIC) for the Russell 2500 has steadily declined from 7.5% to 3% over 30 years, positioning private markets as the 'big leagues'. - For AI companies, revenue matters if it has high retention and high engagement; a lack of usage of AI features is implied if a company pitches with traditional SaaS gross margins, leading a16z to give a 'little bit more of a pass' on current margins. - a16z seeks to avoid the 'TAM trap' by focusing on markets with extreme customer pull, noting that the most disruptive forces for incumbents are business model shifts (like task-based pricing over seat-based) followed by UI/workflow changes and data access. - The firm views kingmaking skeptically, contrasting their approach of backing already strong companies attracting resources with strategies like 'capital as a weapon' seen in the original SoftBank Vision Fund, which often fails in enterprise. **Context:** David George, a General Partner at Andreessen Horowitz leading growth investing, discusses the firm's investment philosophy, particularly regarding fund size, returns in the current AI landscape, and the evolving dynamics between private and public markets. The conversation directly addresses criticisms, such as those from Everett Randall, suggesting large funds cannot deliver 5x returns to LPs, and explores how massive tech waves necessitate adapting investment strategies to larger outcomes. ## Detailed Analysis David George defends a16z's large fund sizes by presenting data showing their larger funds have historically matched or exceeded the multiples of smaller ones, exemplified by a $1 billion fund featuring massive returns from DataBricks and Coinbase. He argues that the private market has grown significantly (over $5 trillion market cap) and that a large percentage of value creation now occurs at later stages (Series C+). George asserts that the public market quality is declining, evidenced by the falling ROIC of the Russell 2500, making private markets the primary venue for capturing generational company value, especially in the new AI wave. When discussing investment mistakes, George cites passing on companies like 11 Labs and Deal due to overthinking theoretical competition (like fearing OpenAI would replicate 11 Labs' product) instead of backing exceptional founders with 'spiking strengths.' Regarding AI specifics, George emphasizes that high revenue growth must be coupled with high retention and engagement to be meaningful, noting that companies pitching with typical SaaS margins are questioned because it suggests AI features are not being utilized. He anticipates model companies will settle into an oligopoly similar to cloud providers, where API providers maintain high margins while end customers are well-served. Finally, George confirms a key part of the growth fund's charter is to fix prior venture team omissions by investing in successful follow-ons, reflecting a continuous partnership between the early and growth stages. ### Fund Size and Performance - The best-performing fund ever at a16z was $1 billion, returning 7x on DataBricks and 5x DPI on Coinbase - Large funds can achieve great returns by capturing enough winners in massive tech waves - Private market cap has grown 10x over 10 years, necessitating larger outcomes. ### Public vs. Private Market Evolution - 53% of dollar gains from 2017-2025 IPOs happened from Series C+, showing late-stage value - Public company count has halved in 20 years, and Russell 2500 ROIC dropped from 7.5% to 3% - Private markets are now the 'big leagues' where the next generation of massive companies will form. ### Investment Philosophy & Errors - a16z corrects omissions by following on in companies they initially passed on, like 11 Labs, by focusing on 'strength of strengths' over fears of theoretical competition - Missing investments often stems from underestimating market size or overweighing fears of incumbents like Google or Facebook entering the space. ### AI Metrics and Margins - Revenue speed in AI requires high retention and engagement to be valuable, not just fast growth - A company pitching AI with standard SaaS gross margins suggests low AI feature usage - Historical tech input costs suggest margins will rationalize upwards, similar to the cloud oligopoly structure. ### Category Dynamics and Competition - The most disruptive force for incumbents is business model shift (e.g., task-based pricing in customer service) over UI/data access - SaaS/Cloud markets often feature winner-take-the-vast-majority dynamics, but payroll is an example of a distributed market - The key to future growth is the transition of spend from human labor budgets to technology budgets, evidenced by high ROI in companies like CH Robinson.