The best-performing fund in Andreessen Horowitz’s history isn’t a small, early-stage vehicle—it’s a $1 billion growth fund. This counterintuitive fact underscores a central theme of David George’s conversation: the rules of venture capital have fundamentally changed. As companies stay private longer, often reaching massive scale before going public, growth-stage investing has become the arena where the largest returns are now captured. This shift reflects a broader transformation where private markets have ballooned to over $5 trillion in market cap, and the most valuable companies are building—and often staying—in the private realm.

This new landscape demands a different mindset toward competition and risk. George warns against the classic VC trap of fearing “theoretical competition”—the paralyzing worry that some future giant like Google might enter a startup’s space. Overweighting this fear, he argues, leads to missing generational companies like OpenAI, where A16Z invested before ChatGPT even existed. The focus must instead be on a founder’s “strength of strengths” and undeniable market pull, even if the business has apparent weaknesses or faces future competitors. This philosophy is evident in their investments in companies like Flow, backed primarily on the exceptional, rare qualities of founder Adam Neumann, and Eleven Labs, where initial hesitation about OpenAI’s roadmap was overruled by the founder’s exceptional talent.

The acceleration driven by AI is forcing investors to recalibrate their metrics. Revenue growth is happening at unprecedented speeds, making traditional year-over-year doubling seem slow. However, George emphasizes that rapid growth alone isn’t enough; it must be paired with high user engagement and organic adoption to be sustainable. In this environment, gross margins are given a temporary “pass” as companies scale, but the long-term goal remains building efficient, high-return businesses. The ultimate measure, he insists, is return on invested capital, with efficient customer acquisition as its early-stage proxy.

Looking ahead, George sees the next wave of massive companies emerging from AI’s application layer and, eventually, robotics—which he calls “the mother of all markets.” Despite the current feverish investment pace, his approach remains rooted in seeking founders with an almost preternatural understanding of their domain and an aggressive, product-driven mindset to capture markets that are often much larger than they initially appear.

Surprising Insights

• Large funds can outperform smaller ones. A16Z’s top-performing fund ever is a $1 billion growth fund, challenging the narrative that smaller funds necessarily deliver higher multiples.
• “Errors of omission” are a core part of the strategy. The growth fund operates as a “fix the mistake fund,” deliberately investing in companies the early-stage team missed, making portfolio construction a dynamic, learning-driven process.
• Gross margins get a temporary pass in AI. For true AI-native companies with explosive growth and clear value, lower initial gross margins are more acceptable than they were for traditional SaaS, as the cost structure is expected to rationalize over time.
• The most disruptive threat to incumbents is business model shift. In the AI wave, changing how software is priced and sold (e.g., per task vs. per seat) is considered more disruptive than superior technology or user interface alone.
• Public markets are seen as “guilty until proven innocent” regarding AI. Public companies are assumed to be doomed by AI disruption unless they can actively prove a credible labor-replacement or efficiency story.

Practical Takeaways

• Invest in “strength of strengths,” not the absence of weaknesses. When evaluating a founder, prioritize exceptional, spikey talents in key areas over a balanced profile with no red flags. Fear of future theoretical competition is a common reason to pass on great investments.
• Prioritize market pull over pushed growth. The best companies exhibit organic, low-cost customer acquisition and high engagement. Growth fueled by heavy sales spend is less sustainable and compelling.
• Re-assess the traditional bounds of market size. Do not underestimate how large a market can become during a major tech shift. Companies that seem niche today can define enormous categories tomorrow.
• For founders, speed and aggression in execution are non-negotiable. In fast-moving categories, the opportunity cost of capital is high. Investors will allocate funds to the fastest-moving companies with the strongest market pull.
• Use shorter-cycle metrics for hyper-growth AI companies. When year-over-year data is unavailable, closely analyze user engagement, retention over shorter periods, and organic acquisition channels to gauge long-term viability.