PERSON DIRECTORY
David George
David George appears in 7 indexed conversations across The a16z Show, 20VC, Invest Like the Best. This directory brings every appearance, source, TL;DR, digest, and transcript into one searchable feed.
Why Stripe Thinks Al Will Create More Software, Not Less
Stripe’s first-half signups grew 50% YoY, while the median 2026 cohort generates 50% more revenue than 2025’s and its new SaaS-platform cohort is 103% larger.Stripe Minions produce 7,000 weekly one-shot PRs, KAI lifted seller productivity 20%, and Machine Payments Protocol, Link Agent Wallet, and Tempo offer potential catalysts as agentic commerce adoption and execution remain unproven.
The New Rule for Picking AI Winners | The a16z Show
OpenAI and Anthropic now add more monthly revenue than Meta, Google, or Microsoft despite AI diffusion below 5%, making “in the token path” George’s rule for application winners.Five frontier labs could lower token prices, but Chinese models reportedly offer 80% of frontier capability at 10% of the cost; scarce capacity lasts through early 2029, with algorithmic breakthroughs the key reversal risk.
AI Markets: Deep Dive with a16z's David George
AI-native companies grow more than 2.5x faster, with top performers reaching 693% year-over-year growth and $500,000-$1 million of ARR per employee.Engagement and operating evidence includes Navan handling 50% of travel interactions with AI and expanding gross margins 20 percentage points, while enterprise change management remains the key execution risk.
The Biggest Bottlenecks For AI: Energy & Cooling
AI infrastructure is becoming a utility layer: big-tech capex annualizes near $400 billion, model-access costs fell more than 99% in two years, and ChatGPT reached 365 billion searches in two years.Energy is likely the next five-year bottleneck, followed by cooling, while application durability depends on 90% or more retention, easy acquisition, and workflow depth rather than model access alone.
a16z's David George on the Most Controversial Bet at a16z & Do Margins and Revenue Matter in AI?
a16z’s strongest-performing fund was a $1B vehicle, with Databricks returning 7x and Coinbase 5x in DPI alone as private markets surpassed $5T.AI is shifting budgets from labor to technology, with CH Robinson reporting 40% productivity gains and 680bps of operating-margin expansion, while retention and engagement—not SaaS margins—become the crucial proof of AI demand.
How a16z Growth Invests
Patrick O'ShaughnessyDavid George
George argues consumer AI’s monetization ceiling remains unproven: ChatGPT likely reached Google’s scale roughly 4x faster, with a billion users but fewer than 50 million monetized.His broader signal is that markets still underprice growth above 30%, while AI’s winners may be concentrated at the leader or fragmented across the model layer, making business models and robotics timelines key risks to monitor.
"Is there an AI bubble?” Gavin Baker and David George
Gavin Baker argues AI does not resemble 2000: NVIDIA trades near 40 times trailing earnings versus Cisco’s 150–180 times, GPUs are fully utilized, and major buyers’ ROIC has risen roughly 10 points.The open risk is whether returns persist through Blackwell spending, while Google’s TPU competition, incumbent distribution, and outcome-based pricing could reshape infrastructure, SaaS margins, and AI monetization.