OpenAI’s money problems are bigger than you think
With a $12 billion quarterly loss and mass resignations, experts warn the $500 billion giant is facing a “Code Red” survival crisis.
OpenAI is currently facing significant challenges that contradict its high public valuation. While the company previously held a dominant market position with ChatGPT, recent data suggests a troubling shift in its position. Behind the closed doors of their San Francisco headquarters, the company is navigating a crisis marked by staggering financial losses, brain drain of top talent, and a product losing ground to Google.
Is OpenAI falling apart?
George Noble, a seasoned market strategist with years of experience managing investment funds, recently shared his insights on OpenAI, suggesting that the company is facing significant challenges. “OpenAI is falling apart in real time,” Noble shared in a post on X.
Noble points to an internal “Code Red” declaration made last December. This move came after OpenAI’s CEO, Sam Altman, urged his teams to prioritize their efforts because they were losing ground to Google’s Gemini 3.
Marc Benioff, the CEO of Salesforce, publicly abandoned ChatGPT in favor of Gemini after using the competitor’s product for only two hours. This change by an enterprise leader suggests he may no longer have confidence in ChatGPT’s capabilities. In fact, there’s evidence to support his decision; the number of people using ChatGPT has decreased significantly in November, marking the second month in a row that its usage has gone down in 2025.
In comparison, Gemini jumped to 650 million monthly active users, suggesting that users are not loyal to the brand. They are simply looking for the best tool, and right now, they are finding it elsewhere. “The company that was supposed to build AGI can’t keep its chatbot competitive”, Noble said.
But the most immediate threat is the cash burn. “OpenAI lost $12 BILLION in a single quarter according to Microsoft’s own fiscal disclosures”, Noble added. This is an unprecedented loss for a company known for its rapid rise in popularity. Deutsche Bank analysts have crunched the numbers and estimate that OpenAI will experience a staggering cumulative negative cash flow totaling $143 billion before it has any hope of turning a profit.
To put this into perspective, the company is reportedly spending $15 million a day to maintain Sora, its video generation model. That is $5 billion annually spent on a product that not only faces significant copyright challenges but also yields minimal financial return on investment. Sora’s lead engineer admitted that the economics are “currently completely unsustainable”.
Noble says there is also a “big math problem” that investors are ignoring. He explains that creating new AI models is becoming increasingly difficult and costly. It now requires five times the energy and capital to make these models just two times better. The “low-hanging fruit” of easy upgrades is gone, he added. This became clear with the launch of GPT-5, which many users found disappointing. They noticed it performed worse on basic tasks, such as math and geography, compared to its predecessor, GPT-4. The negative reaction prompted the company to bring back GPT-4 within a day because people refused to use the new version. Updates that followed, like GPT-5.1 and 5.2, haven’t resolved the concerns either. Users still describe responses from these models as “too corporate,” “safe,” and “robotic.”
The company is also bleeding talent, with CTO Mira Murati, Chief Research Officer Bob McGrew, Chief Scientist Ilya Sutskever, and President Greg Brockman all leaving. Half the AI safety team has also left, with some former executives mentioning issues of “psychological abuse” under the current leadership.
On top of the exodus, Elon Musk is suing for up to $134 billion. A federal judge recently stated that there is substantial evidence suggesting that OpenAI’s leaders failed to keep their promise to operate as a nonprofit company. If a jury finds against them in April, it could threaten the company’s $500 billion valuation, which holds the entire operation together.
Unless leadership can stop the cash bleed and resolve the legal issues, OpenAI risks becoming the most expensive failure in Silicon Valley history.
Why it matters
Today’s economy is highly vulnerable due to its reliance on OpenAI’s technology. Over the last few years, countless industries, from customer service to software engineering, have built their workflows on top of ChatGPT’s API. Many companies have replaced their workforce with AI agents, assuming the technology would be stable and permanent.
However, if OpenAI fails to sustain its operations or if its models continue to stagnate in quality, these businesses are left with broken infrastructure. It wouldn’t just be a problem for OpenAI; it would create a ripple effect that disrupts businesses everywhere that have depended on this technology.
This situation also reflects a troubling trend in financial markets. Many investors have poured money into high-profile tech companies, believing that AI infrastructure will soon transform everything. OpenAI needs to generate massive revenues to justify its current price tag. If it doesn’t meet the expectations, it could mean that the market has underestimated the risks involved. Noble recommends looking into investments that are fairly valued.
Ultimately, this serves as a wake-up call regarding the excitement and hype surrounding AI. We’re beginning to see that there are limits to how quickly this technology can advance. The challenges faced by newer models, like GPT-5, show that simply investing more money and resources doesn’t guarantee success. If the performance of these AI tools has leveled off, then the idea of achieving true Artificial General Intelligence (AGI) may be much further away than we thought. We might be heading towards a future where the gap between the high expectations for AI and what it can actually deliver leads to a significant reevaluation of how we view and use this technology.
