Ed Zitron

Ed Zitron is a technology industry critic and writer — CEO of the public-relations firm EZPR, author of the Where's Your Ed At? newsletter, and host of the Better Offline podcast — and one of the most prominent skeptics of the financial case behind generative AI. He covers no mining companies and picks no resource stocks. His relevance to a resource investor is macro: the data center buildout he dissects is a pillar of current demand forecasts for copper, uranium, natural gas, and power infrastructure, and he argues its funding is weaker than those forecasts assume.

The record is concrete. He founded EZPR in 2013 and started Where's Your Ed At? in 2020; it passed 50,000 subscribers by February 2025. His April 2024 essay The Man Who Killed Google Search went viral and made him a recurring name in mainstream business coverage — he has since been profiled by Wired and MarketWatch, and cited by the Financial Times, The New Yorker, and Slate. His July 2025 essay The Hater's Guide To The AI Bubble became a running series (including The Hater's Guide To NVIDIA and The Hater's Guide To AI Debt), and his weekly Better Offline podcast, on Cool Zone Media and iHeartPodcasts since 2023, delivers the same analysis in audio form.

His method is accounting, not forecasting: he reads filings, earnings transcripts, and reported numbers. The core claim is arithmetic — Meta, Amazon, Microsoft, Google, and Tesla committed more than $560 billion of capital spending (capex — money spent on physical infrastructure like data centers) across 2024 and 2025, against roughly $35 billion in annual generative AI revenue, while OpenAI and Anthropic, who account for about half of that revenue, lose money on it. He also tracks the debt AI companies have raised and circular vendor deals, in which a company invests in a supplier that then buys its products, a pattern he treats as a marker of a late-stage bubble.

For a mining or energy investor, his work is a structured stress test on the demand side. Copper, uranium, and electricity demand forecasts lean heavily on data center growth; if his revenue math is even roughly right, those projections deserve a downside case. Reading him will not teach anyone to evaluate a drill result, but it will sharpen the question behind every AI-linked commodity thesis: who is actually paying for the power.