Leaked OpenAI Financials Show 2025 Operating Loss Topped $20 Billion

OpenAI sits at the center of the generative artificial intelligence boom, with demand for ChatGPT and enterprise services driving rapid revenue growth. That expansion, however, requires heavy spending on model training, inference and data-center capacity. The company’s finances therefore carry implications beyond OpenAI, influencing investment plans across the market for AI chips, servers and high-bandwidth memory, or HBM, used in advanced computing systems.

OpenAI posted a net loss of $38.5 billion in 2025 despite a sharp increase in revenue, according to the latest report, as infrastructure and operating expenses remained elevated. Analysts warned that any move by OpenAI to curb cash burn by reducing capacity commitments could hit chip suppliers and HBM producers first. A pullback could then ripple through the broader AI supply chain, challenging expansion plans built around sustained growth in computing demand.

OpenAI is driving revenue growth through ChatGPT and enterprise AI services while signing major infrastructure agreements with chipmakers and cloud providers. Because generative AI training and inference rely heavily on computing power, the company’s cost and revenue forecasts through 2030 will directly affect its profit outlook, valuation and the scale of global data-center investment.

OpenAI recently told investors that annual compute spending could approach $600 billion in 2030, while total annual revenue is projected to exceed $280 billion, including a $100 billion advertising revenue target. To fund its chip and cloud-infrastructure commitments, the company is planning a new financing round of as much as $100 billion.