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OpenAI Targets $600B Compute Spend as IPO Valuation Could Reach $1 Trillion

OpenAI Targets $600B Compute Spend as IPO Valuation Could Reach $1 Trillion. Source: Jernej Furman from Slovenia, CC BY 2.0, via Wikimedia Commons

OpenAI is reportedly planning a massive expansion of its artificial intelligence infrastructure, targeting approximately $600 billion in total compute spending through 2030. According to a source cited by Reuters, the ambitious investment strategy is part of the company’s long-term roadmap as it prepares for a potential initial public offering that could value the AI powerhouse at up to $1 trillion.

The ChatGPT developer delivered strong financial performance in 2025, generating $13 billion in revenue, surpassing its earlier $10 billion forecast. At the same time, OpenAI kept expenses relatively controlled, spending $8 billion during the year—below its projected $9 billion budget. These results highlight accelerating demand for generative AI tools across both consumer and enterprise markets.

OpenAI is also reportedly in discussions tied to a major fundraising round exceeding $100 billion. Nvidia is said to be nearing completion of a $30 billion investment as part of that round. If finalized, the deal would value the Sam Altman-led company at roughly $830 billion, marking one of the largest private capital raises in history. Microsoft remains a key backer as OpenAI continues scaling its cloud and AI capabilities.

Looking ahead, OpenAI expects cumulative revenue to surpass $280 billion by 2030, with earnings split almost evenly between consumer products like ChatGPT and enterprise AI solutions. To support this growth, Altman previously stated that the company is committed to investing as much as $1.4 trillion to build 30 gigawatts of computing capacity—enough energy to power around 25 million U.S. homes.

However, rising operational costs present challenges. The Information reported that inference expenses—the costs of running AI models—quadrupled in 2025. As a result, OpenAI’s adjusted gross margin declined to 33%, down from 40% in 2024, underscoring the financial pressures of scaling advanced AI systems globally.

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