Chamath sees Anthropic's Codex as strong for complex coding tasks and its enterprise revenue growth as real, but warns that lacking owned compute infrastructure is a critical strategic vulnerability that could cap growth — the same doomerist positioning that salted the earth on data centers now threatens Anthropic's own scaling.
If you're a frontier lab, you don't want to have to go through Amazon and GCP and Azure and Tin Cup for access and capacity... It is a 5-alarm fire for them. They more than anybody else needs to get their hands on compute.” ⚑
Friedberg is bullish on Anthropic based on its unprecedented release cadence and flywheel, noting his organization has shifted to ~90% Anthropic usage in just six months, signaling dominant momentum in the AI platform race.
I've noticed is just the pace of innovation at Anthropic is, from my experience, unprecedented... I think we're probably 90% Anthropic in just the last 6 months at my, my organization. There's something very powerful about the flywheel” ⚑
Sacks argues Anthropic's ~10x annual revenue growth rate (vs OpenAI's 3-4x), driven by enterprise/coding focus and metered token billing, makes it the likely winner of the frontier AI race, though physical compute limits could cap its trajectory.
The OpenAI growth rate's been around 3 to 4x a year. The Anthropic growth rate has been around 10x a year. So they went from, let's call it, $1 to $10 billion of ARR last year, and by the end of Q1 this year, they were already at $30” ⚑