AI critic and researcher Ed Zitron has issued a stark warning about the AI industry, claiming that OpenAI sits at the center of today's AI boom and could become the 'Lehman Brothers of the AI bubble' if it collapses. According to reports from LiveMint, Zitron argues that 'OpenAI is the reason anyone cares about AI' and that without the ChatGPT maker, 'the justification for trillions of dollars of capex evaporates'. He emphasizes that 'without OpenAI, the AI industry doesn't exist' and warns that OpenAI's failure would create a compelling story for no other AI company, potentially triggering a much larger market sell-off.
Zitron identifies unprofitability of LLM models as the primary reason OpenAI could fail, as reported by LiveMint. He explains that 'OpenAI needs tens of billions of dollars multiple times a year' to pay for AI infrastructure costs, while subscription business and advertising revenue fail to cover these expenses. The advertising revenue projections have fallen significantly short of expectations, with OpenAI expected to generate $2.4 billion in ad revenue in 2026 and $102 billion by 2030, but eMarketer estimates the entire AI chatbot advertising market will generate just $1 billion this year and $5.41 billion by 2030. This $97 billion gap between expectations and reality highlights the scale of the profitability challenge facing the company.
According to Viram Shah, Founder and CEO of Vested Finance, as reported by LiveMint, the exposure of major tech companies to OpenAI varies significantly. Oracle is the most exposed with a large chunk of future cloud revenue tied to OpenAI, making it most vulnerable to spending plan delays. NVIDIA and Microsoft have closer ties through NVIDIA's investments and Microsoft's cloud provider role, though both companies maintain diversified customer bases. Amazon stands out as the least exposed, with its own chips and enormous cloud business providing greater independence from OpenAI's success or failure.
Despite skepticism about AI spending sustainability, Viram Shah tells LiveMint that 'mostly yes, with a caveat' regarding spending durability. The big spenders are putting around $700 billion into AI in 2026, and Shah notes that 'they can afford it' as these are companies sitting on hundreds of billions in cash with real cash flow. However, he warns that 'the bigger financial risk is for AI companies that depend on raising money and recycling it within the AI ecosystem to stay afloat'. This distinction highlights the difference between debt-fueled private labs and cash-rich public companies' AI investments.
