No Mercy / No Malice: 1999.AI

What It Covers

Scott Galloway draws direct parallels between the 1999 dot-com bubble and today's AI market, using OpenAI's $21 billion 2025 losses, enterprise spending reversals, and concentrated S&P 500 valuations to argue an AI bubble unraveling is underway.

Key Questions Answered

• •Bubble pattern recognition: The dot-com collapse moved sequentially from B2C failures to B2B collapses to infrastructure crashes. Sun Microsystems lost 96% of market cap following this sequence. Investors should monitor enterprise AI spending slowdowns as the current B2B-to-infrastructure domino signal.
• •OpenAI financial red flags: OpenAI spends nearly $3 for every $1 of ChatGPT subscriber revenue, lost $21 billion in 2025, and projects $100 billion in ad revenue by 2030 while tracking 90% below its own forecast. Treat government bailout overtures as distress signals, not investment opportunities.
• •Enterprise AI sobriety trend: Uber exhausted its entire 2026 AI budget in four months. Meta, Microsoft, DoorDash, and Salesforce are now restricting AI usage to proven cases only. Businesses should audit token consumption against measurable productivity outcomes before renewing or expanding AI licenses.
• •Value distribution shift: Transformative technologies like jet travel, vaccines, and PCs delivered most value to users rather than shareholders. AI likely follows this pattern, meaning the 10 largest S&P 500 companies representing 43% of index market cap face asymmetric downside risk relative to AI end-users.