Bain says AI industry needs $6 trillion annual revenue by 2031 to justify data centers

September 29, 2026 at 06:01 AM2 min

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The global AI industry must generate $6 trillion in annual revenue by 2031 to justify the capital being deployed to build data centers, Bain & Co. said in its annual technology report. Existing AI services may cover only $1.8 trillion of that, leaving a $4.2 trillion shortfall that new segments like robotics and drug discovery must fill. The consultancy projects $5 trillion to $6.5 trillion in data-center spending by 2030, adding at least 150 gigawatts of capacity.

Key Facts

Bain & Co. projects $5 trillion to $6.5 trillion in data-center spending by 2030, adding at least 150 gigawatts of capacity.
Annual spending on AI infrastructure may reach $1.5 trillion by 2031, according to Bain.
Data center sizes and costs are doubling roughly every 12 to 16 months, driven partly by surging chip prices from Nvidia and SK Hynix.
Companies including Microsoft, Alphabet's Google, Amazon, Meta Platforms, and Oracle are investing trillions of dollars in data centers.

Revenue Gap

Existing consumer and enterprise AI services may generate as much as $1.8 trillion of the required $6 trillion in annual revenue by 2031. The remaining $4.2 trillion must come from nascent segments such as autonomous machines, robotics, drug discovery, mental health, and energy generation. Bain's lead author David Crawford said the industry needs a wave of innovation that will dwarf what mobile and cloud unlocked. Crawford added that AI infrastructure is being built well ahead of the demand curve and funding it sustainably will require adding approximately 1% to annual global GDP growth.

Infrastructure Spending

Bain projects $5 trillion to $6.5 trillion of data-center spending by 2030, adding at least 150 gigawatts of capacity. Annual spending on AI infrastructure, spanning data centers, computing capacity, and upgrades in accelerators and memory chips, may reach as much as $1.5 trillion by 2031. Data center sizes and costs are doubling roughly every 12 to 16 months, in part due to surging prices of chips from Nvidia and SK Hynix, networking equipment, and other components. Companies led by Microsoft, Alphabet's Google, Amazon, Meta Platforms, and Oracle are investing trillions of dollars in data centers to meet AI's demand for computational resources.