The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 12 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
George: Capital Directly Compounds Advantage for AI Labs
“But right now, especially with the labs for the first time, you know, in my career, you can take capital and throw it at a company and it compounds their advantage.”
George: AI diffusion beyond coding will be slow because tasks lack verifiability
“Coding hit, but that's kind of a head fake, right? Like coding, coding is perfectly documented, right? So it has like perfect data. It's verifiable and it's simulatable, right? And so like most tasks in business do not share those three attributes. And so, you…”
George: Exceptionally high gross margins in AI pitches trigger a16z skepticism
“So in an odd way, if we see an AI pitch and the gross margins are super high, we're a little bit skeptical because that may mean that the AI features are not actually what is being bought or used by the customers.”
George: High ARR per employee in AI is driven by demand outpacing hiring
“I would say my observation from our companies, even the AI native ones is they run leaner. Partially because they've just grown so quickly and the demand is so strong. I wouldn't say yet we're at the point where companies have fully reimagined the way they run…”
George: AI Startups Need UI, Data, and Pricing Shifts to Beat SaaS Giants
“I think for startups to win, I think you need all three and that's just in the head-to-head stuff.”
George: Low gross margins signal real product engagement for AI startups
“We always look at the gross margins, and it's become like a badge of honor for them to actually have low gross margins, because we're like, oh my god, people are actually using your AI stuff. But if you show up, and you're like, I'm an AI company, and it's lik…”
George: a16z prioritizes AI startups sitting directly in the token path
“First of all, like right now, you have to be in the token path. Like that is the number one thing that we're looking to for our companies.”
George: Backing the wrong founder in a winning category is VC's worst mistake
“If the space happens to not work out and we have the leader, no harm, no foul. Actually, that's part of our business. That's what we should be doing. The bad box of what I described is the space works out and we pick the wrong one.”
George: Tech customers capture 90% of economic value while platforms capture 10%
“My rule of thumb is like, 90% of the value goes to the end customers and, you know, 10% of the value goes to the companies serving them, and it turns out that that's just a massive amount of market cap, you know, if you're the 10% that you're capturing.”
George: Growth-stage venture loss rates should be 10% to 20%
“Now at the growth stage, like the loss rate will be lower, but it's probably going to be in the 10 to 20% range, and that's appropriate because with that, you will get investments that we make that, you know, 10 X or more in returns.”