David George leads a16z Growth with a focus on paying fair prices for great companies rather than chasing momentum, keeping a Post-it note on his computer asking "is the market demanding more of the product?" to stay focused on real customer pull when evaluating deals. He integrates public-market perspectives into private investing and positions himself as a scale partner for compounder businesses with long runways, frequently appearing in educational content to explain his repeatable framework for growth investing at scale.

• Benchmarks AI company efficiency differently than traditional SaaS, specifically looking at revenue per employee as a key metric. He noted that the best AI companies are achieving over $500,000 in annual recurring revenue per full-time employee, which is a significant jump from historical software business standards due to high demand driving efficiency.
• Believes the majority of value creation now happens in the private markets rather than public ones, arguing that the most successful companies stay private much longer than they used to. He illustrated this by comparing how the median company now takes 14 years to go public versus just 5 years two decades ago, meaning founders should be prepared for a longer private journey.
• Identifies a specific category of startups he calls Modelbusters, which are companies that grow faster and longer than financial models typically predict. He points to firms like Roblox and Anduril as examples of businesses that didn't look like obvious winners initially but revealed markets far larger than investors expected.
• Champions defense technology and American dynamism, showing strong support for companies that advance national security and industrial capabilities. His enthusiasm extends to modernizing warfare through AI and autonomy, and he even celebrated the physical infrastructure of shipbuilding at Solano Shipyard.
• Tracks enterprise software spending trends to help founders understand where the money is actually going. He observed that while it feels like everyone is buying generative AI, only about 20% of net-new software spend comes from vendors purchasing GenAI products directly, while the majority is actually spent by companies preparing their infrastructure for AI adoption down the road.
• Focuses on the intersection of hardware and software, particularly regarding the post-mobile phone era. He has expressed keen interest in how augmented reality, like Meta's Orion glasses, and advanced semiconductors will merge physical and virtual worlds.