OpenAI Could Burn Nearly $280B by 2030 as AI Infrastructure Spending Surges

OpenAI could burn nearly $280 billion in cash by 2030 as it pours massive amounts of capital into AI infrastructure, according to the Financial Times.
The company is racing to expand compute capacity, data centers and model development while trying to scale revenue fast enough to support those costs.
The spending reflects how capital-intensive the frontier AI race has become.
Training larger models is only part of the equation. Serving them at scale also requires enormous amounts of chips, power and data-center capacity.
That means OpenAI’s growth story increasingly depends on whether revenue can rise fast enough to keep pace with infrastructure commitments.
The company may continue posting rapid top-line growth, but the scale of projected cash burn shows how expensive it is to stay at the front of the AI race.
The key question is whether OpenAI can convert that spending into durable revenue growth before financing needs become even larger.