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Steve Eisman Warns U.S. Economy Could Recede if OpenAI Fails
Steve Eisman, the investor known for profiting from the 2008 housing collapse, said in an interview with host David Lin that the artificial‑intelligence boom has made OpenAI so central to the U.S. economy that its failure could trigger a recession almost overnight. Eisman emphasized that he is not predicting a collapse; he is presenting a hypothetical risk.
The comments come after a St. Louis Fed study that estimated AI‑related investment accounted for 39 % of U.S. economic growth in the first three quarters of 2025, compared with 28 % for similar technology spending at the peak of the dot‑com era. The study highlights how much of the current economic expansion is tied to AI.
OpenAI’s scale is reflected in its recent commitments. According to the source, the company has agreed to purchase roughly $300 billion of computing capacity from Oracle Corp. over five years. That single contract is almost half of Oracle’s $638 billion in contracted future business, underscoring how heavily the AI infrastructure boom depends on OpenAI’s continued spending.
Financially, OpenAI’s revenue trajectory is mixed. The source reports that the company’s annualized revenue reached $40 billion this month, after second‑quarter growth slowed to 18 %. The figure suggests that growth has since accelerated, but the company’s operating loss widened by about $3 billion. In contrast, Anthropic’s quarterly revenue reportedly more than doubled to $11.6 billion in June, while OpenAI’s rose just 18 % to $6.7 billion. The gap helps explain why Eisman calls OpenAI the “weak sister.”
Eisman said the key test will be whether OpenAI can maintain its growth as customers become more price‑sensitive. He noted that this shift began around June and July, making second‑half revenue growth especially important. Asked what slower business demand would mean for chipmakers and the rest of tech, Eisman said, “I think the whole tech space sells off.”
The comments arrive at a time when the AI sector is under scrutiny from investors, regulators, and the public. OpenAI’s high‑profile contracts, rapid revenue changes, and operating losses are closely watched by market participants. The company’s recent $300 billion commitment to Oracle also raises questions about the sustainability of large‑scale AI infrastructure spending.
At present, OpenAI continues to grow its product portfolio, and its revenue numbers suggest that the company is still expanding. However, the widening operating loss and the price‑sensitivity of its customer base create uncertainty about the long‑term viability of its business model. The broader tech ecosystem, including chipmakers and cloud providers, may feel the ripple effects if OpenAI’s growth slows or if the company faces a sudden downturn.
In the coming months, analysts will watch for further financial disclosures, potential changes in OpenAI’s pricing strategy, and any regulatory actions that could affect the company’s operations. The situation remains fluid, and the impact on the U.S. economy will depend on how OpenAI navigates its current financial challenges and the broader market’s response to AI spending trends.
The comments come after a St. Louis Fed study that estimated AI‑related investment accounted for 39 % of U.S. economic growth in the first three quarters of 2025, compared with 28 % for similar technology spending at the peak of the dot‑com era. The study highlights how much of the current economic expansion is tied to AI.
OpenAI’s scale is reflected in its recent commitments. According to the source, the company has agreed to purchase roughly $300 billion of computing capacity from Oracle Corp. over five years. That single contract is almost half of Oracle’s $638 billion in contracted future business, underscoring how heavily the AI infrastructure boom depends on OpenAI’s continued spending.
Financially, OpenAI’s revenue trajectory is mixed. The source reports that the company’s annualized revenue reached $40 billion this month, after second‑quarter growth slowed to 18 %. The figure suggests that growth has since accelerated, but the company’s operating loss widened by about $3 billion. In contrast, Anthropic’s quarterly revenue reportedly more than doubled to $11.6 billion in June, while OpenAI’s rose just 18 % to $6.7 billion. The gap helps explain why Eisman calls OpenAI the “weak sister.”
Eisman said the key test will be whether OpenAI can maintain its growth as customers become more price‑sensitive. He noted that this shift began around June and July, making second‑half revenue growth especially important. Asked what slower business demand would mean for chipmakers and the rest of tech, Eisman said, “I think the whole tech space sells off.”
The comments arrive at a time when the AI sector is under scrutiny from investors, regulators, and the public. OpenAI’s high‑profile contracts, rapid revenue changes, and operating losses are closely watched by market participants. The company’s recent $300 billion commitment to Oracle also raises questions about the sustainability of large‑scale AI infrastructure spending.
At present, OpenAI continues to grow its product portfolio, and its revenue numbers suggest that the company is still expanding. However, the widening operating loss and the price‑sensitivity of its customer base create uncertainty about the long‑term viability of its business model. The broader tech ecosystem, including chipmakers and cloud providers, may feel the ripple effects if OpenAI’s growth slows or if the company faces a sudden downturn.
In the coming months, analysts will watch for further financial disclosures, potential changes in OpenAI’s pricing strategy, and any regulatory actions that could affect the company’s operations. The situation remains fluid, and the impact on the U.S. economy will depend on how OpenAI navigates its current financial challenges and the broader market’s response to AI spending trends.
