The AI Demand Bubble
wheresyoured.at
August 4, 2026
39 min read
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Summary
The AI demand bubble is analyzed through detailed financial assessments of companies like NVIDIA, Anthropic, and OpenAI. Subscription to a premium newsletter provides in-depth insights into the AI sector and related financial topics.
Key Takeaways
- Microsoft reported a $37 billion AI run rate for Q3 FY2026 but did not disclose actual AI revenue for Q4.
- Amazon, Google, and Microsoft’s cloud revenue growth is largely driven by the compute spending of unprofitable AI labs Anthropic and OpenAI.
- Google has invested $10 billion in Anthropic and plans to invest up to $30 billion more, while Amazon has invested $5 billion in Anthropic and $50 billion in OpenAI.
- The AI industry is characterized by circular financing, where hyperscalers are funding AI companies that are their largest customers.
Community Sentiment
Positives
- The $200 billion AI market is a growth opportunity that many believe isn't as dire as the article suggests, especially with startups focused on automating revenue streams.
- Investors see potential in scaling down inference costs while leveraging improved silicon technology, hinting at a promising path forward for AI profitability.
Concerns
- Open source models, especially from China, are seen as a serious threat that could commoditize the AI market and undermine massive investments.
- Commenters are skeptical about the actual revenue growth in AI, noting stagnation in user numbers and questioning the sustainability of API models with no switching costs.
- The article's predictions are criticized for being overly pessimistic and not reflective of the actual resilience and utility of AI technologies.
