AI Is Slowing Down
Ed Zitron argues AI demand is slowing just as its economics require explosive growth.
The article argues generative AI must keep accelerating to justify massive data center, cloud, and GPU commitments. Zitron says OpenAI, Anthropic, hyperscalers, and NVIDIA depend on AI services reaching extraordinary revenue levels by 2029-2030. He points to token-based billing, weak ROI visibility, enterprise spending caps, and customer pushback as signs that demand may be cooling before the infrastructure bet can pay off.
This article is a sharp critique by Ed Zitron of the generative AI industry's economic model. The central argument is not that model capabilities have completely stagnated, but that the AI industry "cannot afford to slow down" financially — and yet it is already facing mounting pressure on demand, cost, and ROI.
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