Premium: The Hater's Guide To AI Debt (Part 2)

Newsletter · Watch/Read · (gathered 2026-09-26)

• Ed Zitron’s “The Hater’s Guide To AI Debt Part 2” argues that the massive debt fueling AI data center construction is “priced for perfection” but invested in thousands of inherently fragile, complex infrastructure projects, often by inexperienced companies.
• This creates a “doom loop of debt, delays and doubt,” where the “lackadaisical ‘Move Fast And Break Things’” approach to these unique, power-intensive data centers compounds costs, making profitability “near-impossible for the majority of projects” (dubbed “Gross Profit Unlikely”).
• The finance industry has already committed $100-$150 billion (excluding hyperscalers) and plans hundreds of billions more, despite the entire industry’s functional dependence on the compute spend of a few key players like Anthropic and OpenAI.