OpenAI Plans $600 Billion Computing Push Ahead of $1 Trillion IPO

OpenAI is preparing for what could become one of the most significant public offerings in history, as the ChatGPT maker maps out plans to spend roughly $600 billion on computing infrastructure through 2030, according to CNN.

The investment push comes as the company lays the groundwork for a potential initial public offering that could value it at up to $1 trillion, a milestone that would rank among the largest market debuts ever.

OpenAI generated approximately $13 billion in revenue in 2025, exceeding its own $10 billion forecast, the source said. Annual spending reached $8 billion, below a projected $9 billion.

The financial performance underscores the rapid commercialization of generative AI tools across both consumer and enterprise markets, even as infrastructure costs remain substantial.

The development also coincides with reports that Nvidia is nearing completion of a $30 billion investment in OpenAI as part of a broader fundraising round in which the AI firm is seeking to raise more than $100 billion. That round would reportedly value the company at about $830 billion, already among the largest private capital raises on record.

OpenAI is backed by Microsoft, which has integrated the startup’s models across its cloud and productivity platforms.

The company expects to generate more than $280 billion in total revenue by 2030, split roughly evenly between consumer-facing products and enterprise solutions.

Last year, Chief Executive Sam Altman said the company is committed to investing as much as $1.4 trillion to develop 30 gigawatts of computing capacity, enough to power roughly 25 million US homes, highlighting the extraordinary scale of infrastructure required to train and run advanced AI systems.

Meanwhile, operating costs tied to running AI models, known as inference, reportedly quadrupled in 2025, according to The Information. As a result, OpenAI’s adjusted gross margin declined to 33% from 40% in 2024.

The surge in computing expenditure reflects intensifying competition in the AI race, where companies are pouring capital into data centers, advanced chips and energy resources to meet exploding demand.