OpenAI's leadership has been painting an optimistic picture about the company's path to profitability. As the organization scales, Sam Altman suggests that training costs for large models will become less of a financial burden relative to overall revenue—a classic economies of scale argument. The math sounds reasonable on paper. But there's a disconnect worth examining: despite these scaling projections, the company's actual losses have been climbing rather than shrinking. This gap between the theoretical model and real financials raises some tough questions about whether the current approach to AI development is truly sustainable, or if the economics need a fundamental reset.