Strategic Shifts in AI Infrastructure Investment

OpenAI Resets 2030 Spending Target to $600 Billion

The AI leader scales back from a $1.4 trillion projection while eyeing $280 billion in annual revenue by 2030.

By Avantgarde News Desk··1 min read
A vast, modern server room with rows of high-performance computing racks illuminated by cool blue lights, representing the scale of artificial intelligence infrastructure.

A vast, modern server room with rows of high-performance computing racks illuminated by cool blue lights, representing the scale of artificial intelligence infrastructure.

Photo: Avantgarde News

OpenAI has informed investors it is now targeting roughly $600 billion in total compute spending by 2030 [1]. This revised figure represents a significant reduction from previous internal projections that reached $1.4 trillion [2][3]. The company is providing a more defined timeline as investors seek greater financial discipline amid rising hardware costs [1]. The AI startup reported revenue of $13.1 billion in 2025, exceeding its target of $10 billion [2]. However, the expense of running AI models increased fourfold during the same period, causing adjusted gross margins to fall to 33% [3]. OpenAI expects its 2030 revenue to surpass $280 billion, split evenly between consumer and enterprise segments [1][2]. To support this expansion, the company is finalizing a funding round that could exceed $100 billion [1]. Nvidia is reportedly in discussions to invest up to $30 billion as part of this effort, potentially valuing OpenAI at $730 billion [1][2]. This capital would secure the massive computing resources required for future model development through the end of the decade [3].

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Avantgarde News Desk covers strategic shifts in ai infrastructure investment and editorial analysis for Avantgarde News.