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The AI industry is likely in a massive financial bubble - analysts suggest a $2 trillion revenue gap exists between the cost of current infrastructure and actual revenue, which currently sits around only $55 billion.
โThe big question is whether or not all of this AI spending is a bubble. I feel very safe in saying yes.โ
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OpenAI is struggling to articulate clear product utility - despite billions in investment, leadership continues to rely on vague hype regarding 'super brains' and 'agentic' behavior rather than defining concrete use cases.
โWe're two years into this, hundreds of billions of dollars, and they still can't tell you what it does. They really can't just be like, this is what it is.โ
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High operational costs are forcing a pivot to niche, expensive features - new releases like 'Pulse' are being gated behind $200-a-month subscriptions, suggesting the underlying compute is still too costly for broad consumer adoption.
โIf they're releasing a feature only to pro subscribers, it means it's too expensive.โ

