Bain & Company projects that the AI industry will need about $6 trillion in annual revenue by 2031 to pay for the data centres being built today, a scale far beyond what current AI products are expected to generate. As The Next Web reported, Bain’s latest global technology report estimates existing AI products could bring in only $1.2 trillion to $1.8 trillion a year by 2031.
That gap goes to the heart of a growing question around the AI boom: whether the enormous infrastructure buildout now underway can be justified by the businesses that run on top of it. David Crawford, chairman of Bain’s global technology practice, said the economics of AI infrastructure require trillions in new revenue beyond productivity gains, as quoted by TNW.
How Bain gets to the revenue target
According to TNW’s report, Bain assumes annual spending on AI infrastructure could reach $1.5 trillion by 2031. That includes new data centres and compute capacity as well as upgrades to installed chips, memory and networking equipment.
Bain’s model further assumes that capital expenditure would run at about 25% of industry revenue, roughly in line with cloud-provider trends. On that basis, the AI market would need to approach $6 trillion a year.
The spending ramp is already steep. Bain estimates Microsoft, Google, Amazon, Meta and Oracle could spend $780 billion on capital expenditure in 2026, nearly five times the level from three years earlier, TNW reported.
Where Bain thinks the missing revenue could come from
Bain’s estimate does not suggest today’s mainstream AI products are enough on their own. As summarized by TNW, consumer AI subscriptions and advertising could generate $200 billion to $400 billion by 2031, while enterprise AI could contribute another $1 trillion to $1.4 trillion for providers across software development, sales, marketing, customer service and IT.
That still leaves roughly $4.2 trillion unaccounted for.
Bain points to several possible categories that could help close that gap. TNW reported that ad-supported chatbots that replace much of web search could add $100 billion to $200 billion or more. Self-driving cars, trucks and drones, along with broader industrial automation, are framed as a $400 billion opportunity. Bain also sees physical AI, including simulations, digital twins and robots, as a potential $900 billion market, based on an assumed 10% reduction in R&D and manufacturing costs. Beyond that, Bain argues that entirely new AI products may need to emerge.
