Bain & Company projects that the AI industry will need about $6 trillion in annual revenue by 2031 to support the wave of data centres being built today, a figure that far exceeds what the firm expects current AI products to generate. In its Global Technology Report, Bain estimates existing AI products could bring in only $1.2 trillion to $1.8 trillion of that total by 2031. The Next Web
David Crawford, chairman of Bain’s global technology practice, framed the gap as a challenge to the economics of the current buildout. He said AI infrastructure is being built well ahead of demand and that funding it would require adding about 1% to annual global GDP growth. The Next Web
Why Bain’s estimate is so high
Bain says annual spending on AI infrastructure could reach $1.5 trillion by 2031. That total includes new data centres and compute, along with upgrades to chips, memory and networking already in place. The firm’s revenue estimate is based on an assumption that capital spending runs at about 25% of industry revenue, a ratio it says is in line with trends among cloud providers. At that level of investment, the AI market would need to approach $6 trillion a year. The Next Web
The report also projects $5 trillion to $6.5 trillion in spending on nearly 150 gigawatts of new data centre capacity by 2030. Bain says that would almost triple global capacity in five years. The Next Web
Where Bain thinks the missing revenue could come from
Bain’s math leaves a large shortfall between expected infrastructure costs and revenue from existing AI products. The firm expects some of that to come from consumer AI and enterprise AI, and it also points to additional upside from ad-supported chatbots that could replace much of web search, autonomy and industrial automation, physical AI such as simulations, digital twins and robots, and products that do not yet exist. Examples cited in the report include AI-driven drug discovery, mental health support and new materials for batteries and chips. The Next Web
In Bain’s breakdown, consumer AI through subscriptions and advertising could bring in $200 billion to $400 billion by 2031, while enterprise AI could add $1 trillion to $1.4 trillion for providers across software development, sales, marketing, customer service and IT. Beyond that, the firm estimates chatbots carrying ads and replacing much of web search could add $100 billion to $200 billion or more; self-driving cars, trucks and drones, along with other industrial automation, represent a $400 billion opportunity; and physical AI could be worth $900 billion. The Next Web
A buildout running ahead of demand
Bain’s report describes an industry scaling infrastructure aggressively even as key constraints pile up. It says power, chips, skilled labor and permits are all in short supply at the same time. The Next Web
That combination helps explain the report’s central warning: the current pace of AI infrastructure spending is betting on revenue streams that, in Bain’s view, have not fully materialized yet. The firm’s outlook suggests that making the economics work will depend not just on today’s AI tools, but on much broader commercial adoption and entirely new categories of AI products over the next several years. The Next Web
