Can OpenAI and Anthropic Justify Their Valuations? + Flock, Privacy, and Plummeting Crime

October 19, 2026

AI Summary

5 min read

In July, the UK's AI Security Institute tested leading open-weight AI models against frontier models released four to seven months earlier and found that the gap in their cybersecurity performance had narrowed since 2025. The open models were also substantially cheaper: DeepSeek version 4 Pro cost about 30 cents per task versus $12.50 for Opus 4.5. This is the competitive pressure now bearing down on OpenAI and Anthropic, whose sky-high valuations assume they will own nearly all the market and all the profits. The episode examines whether those valuations can hold, alongside shorter segments on the surveillance company Flock and listener questions about sperm donation, morally questionable industries, and hiring traits.

The Frontier vs. Open-Weight Business Model

The core tension is between two competing strategies. Frontier labs like OpenAI and Anthropic sell premium, closed models with strong brands, reliability, and higher margins. Anthropic has cited gross margins above 80%, but the Financial Times estimates its effective margin may be closer to 40-50% once model training costs and partner revenue shares are included. Meanwhile, open-weight models — where core components are publicly available for download and customization on local hardware — are adopting a classic "Old Navy" strategy: offering 80% of the frontier model's performance at 10-20% of the price.

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What you'll learn

1 (00:00) **Open: Ads and Housekeeping** - Ad reads for Apollo, Yahoo Scout, and Monday.com. Host Scott Galloway introduces the show format and invites listener questions via voicemail or Reddit.
2 (02:00) **Q1: The Business Model of Frontier AI vs. Open Weight Models** - Listener Fred asks how paid frontier AI labs can survive when free, powerful local AI is improving. Galloway defines "local AI" as open-weight models that run on user hardware, offering cost savings and data privacy.
3 (08:13) **Q2: Personal Finance and Ethics of Sperm Donation** - Listener Owen, a law student with debt, asks if he should become a sperm donor. Galloway shares his own detailed and humorous experience as a sperm donor at UCLA in 1985.
4 (15:00) **Mid-Roll Ad Break** - Advertisements for Bilt, Pendulum, and Apollo.
5 (18:20) **Q3: The Privacy and Crime Debate Around Flock Surveillance Cameras** - A listener asks about the controversy over Flock cameras. Galloway presents data on the company's scale (120,000 cameras, used by 40% of U.S. law enforcement) and details documented cases of misuse by police.
6 (25:50) **Q4: Working in a Morally Questionable Industry (Online Gambling)** - James, a cybersecurity professional, has a job offer from a sports betting platform that doubles his pay but conflicts with his values. Galloway frames online gambling as a crisis, citing data on rising bankruptcies and risk-taking behavior in young men.
7 (31:45) **Final Ad Break** - Advertisements for Framer, LinkedIn Ads, and Monday.com.

+ Full timestamped outline available in the app

Show Notes

Scott Galloway answers listener questions on whether frontier AI labs can compete with cheaper open-weight models, his college stint as a sperm donor, Flock license plate cameras, taking a job at an online sports betting company, and what consulting firms look for in new hires.

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