OpenAI on the Edge: Why Microsoft's Billions Might Not Save It

Imagine you're building the most powerful engine in human history, but every kilometer of the journey, it burns more gold than it produces useful work. That's roughly what OpenAI's financial model looks like right now. While the whole world discusses ChatGPT's new capabilities, people accustomed to counting money are nervously eyeing the exit. Asset managers, who have observed Silicon Valley's ups and downs for decades, are sounding the alarm: OpenAI displays all the signs of a classic corporate collapse. This isn't mere skepticism, but sober calculation based on data about the company's spending on computing and personnel.

The problem isn't that the technology is bad. The problem is the mathematics of survival. To train the next model, OpenAI needs tens of thousands of NVIDIA chips, each costing as much as a decent car. Add to that electricity bills that could rival a small country's budget, and engineer salaries measured in hundreds of thousands of dollars. Sam Altman is playing a very dangerous game where the stakes are endless growth, and the only way not to fall is to constantly find new investors. Valuation grows, but losses grow even faster, creating a dangerous fork that can't be ignored forever.

So far, Microsoft has been the main lifeline. But even the software giant's patience isn't infinite. Investors are starting to ask uncomfortable questions: when will these investments start producing real profit, not just beautiful social media demonstrations? History knows many examples of companies with so-called unlimited potential turning to dust once the flow of cheap money dries up. Remember WeWork or Uber's early years — the scale was enormous, but the economics didn't add up for years, ultimately leading to painful revaluation.

The gap between media hype and financial reality is becoming critical. If OpenAI can't prove that its models can generate net profit rather than just losses, we're in for a hard landing. This will ripple through the entire AI market, triggering a chain reaction. After all, if even the industry leader can't turn a profit, what does that say about hundreds of small startups trying to copy its path? We're witnessing a classic situation where technological progress significantly outpaces the creation of a sustainable business model capable of funding that progress.

The situation is complicated by the fact that competitors aren't sleeping and have far deeper pockets. Google and Meta can afford to burn money on research for years, relying on their advertising empires. OpenAI doesn't have such a cushion. Every model update is an all-in bet. Either the next iteration becomes so useful for business that people will pay significantly more for it, or we'll witness the most expensive bankruptcy in technology history. Market expectations are overheated, and any stumble in releasing new products could trigger a mass exodus of investors, who are now holding on only to promises of AGI's imminent arrival.

Bottom line: OpenAI has become a financial kamikaze, whose success depends entirely on investors' faith in a miracle. Will this faith last until profitability emerges, or will the bubble burst first?