Quote · The Prof G Pod with Scott Galloway
Can OpenAI and Anthropic Justify Their Valuations? + Flock, Privacy, and Plummeting Crime
Where this was said
Q1: Can Frontier AI Labs Survive Cheap Open-Weight Models?
At 6:45 · chapter starts 1:51
The episode's meatiest segment opens with Fred's question about whether frontier AI labs can survive the rise of powerful, free local models. Scott methodically layers the data: a UK AI Security Institute test found the gap between open-weight and frontier models narrowing, with Deepseek v4 Pro costing $0.30 per task against $12.50 for Claude Opus 4.5 — a 40x price difference. [1] — Scott Galloway "The price gap between open-weight and frontier AI models is staggering. Deepseek v4 Pro runs 30 cents per task. Claude Opus 4.5 runs $12.50…" 02:25 Only 3% of US households pay for AI, and OpenAI converts just 5% of its billion users to paid plans, signaling that enterprise — not consumer — is the real battleground. Anthropic's claimed 80%+ gross margins are demolished with a WeWork comparison: the Financial Times estimates real margins at 40-50% once training costs and partner revenue shares are included. Scott then delivers his sharpest analogy: open-weight models are doing to frontier AI what Old Navy did to Gap and Southwest did to Delta — 80% of the product at a fraction of the price. [2] — Scott Galloway "The best business model in history is offering 80% of the premium product at 50% of the price — Old Navy did it to Gap, Southwest did it to…" 06:35 The segment closes with a geopolitical grenade: China's incentive to subsidize cheap AI amounts to an AI-dumping strategy that could trigger a US market crash, given that 40% of the S&P 500 is tied to AI valuations. His verdict — frontier models cannot justify their current valuations — lands as a confident, data-backed conclusion.
The price gap between open-weight and frontier AI models is staggering. Deepseek v4 Pro runs 30 cents per task. Claude Opus 4.5 runs $12.50. That's a 40x difference — and the UK's AI Security Institute found the performance gap is narrowing.
On tasks both models completed reliably, the open-weight GLM 5.2 costs $6 per task versus $15 for Claude Opus 4.6, highlighting the price gap between open and frontier models.
Deepseek version 4 Pro costs about 30 cents per task versus $12.50 for Anthropic's Opus 4.5, a price difference of over 40x.
Bank of America found that only about 3% of US households paid for an AI subscription as of February, with adoption highest among households earning more than $125,000.
OpenAI reported 50 million paid subscribers against roughly 1 billion total users in June, meaning only about 5% were paying customers.
Anthropic reportedly tells investors its total addressable market is more than $30 trillion, a figure Scott Galloway dismissed as meaningless without context.
Anthropic claims 80%+ gross margins, but strips out model training costs and revenue share with partners. The Financial Times estimates the real number is 40–50%. It's WeWork math — profits before all the actual costs.
