The global AI boom will need to generate around trillion in annual revenue by 2031 to support the massive investment being made in artificial intelligence infrastructure, according to Bain & Company’s latest Global Technology Report. The report highlights the growing gap between AI infrastructure spending and the revenue currently generated by AI applications.Key HighlightsThe global AI industry may need trillion in annual revenue by 2031.Existing consumer and enterprise AI applications could generate .2 trillion to .8 trillion.Around .2 trillion in additional revenue may need to come from new AI-driven markets.AI infrastructure spending could reach .5 trillion annually by 2031.Robotics, autonomous systems, drug discovery and physical AI could create new revenue opportunities.AI Infrastructure Investment Faces a Revenue TestBain & Company said the rapid expansion of AI infrastructure is creating a major economic challenge: generating enough revenue to justify the capital being invested in computing capacity, data centres and related technologies.The consulting firm's report estimates that annual AI infrastructure spending could reach as much as .5 trillion by 2031. To support that level of investment, the broader AI industry would need to generate approximately trillion in annual revenue.The report said AI infrastructure is being developed ahead of the demand curve, increasing the importance of finding new applications capable of producing significant economic value.Existing AI Applications May Not Be EnoughAccording to Bain, existing consumer and enterprise AI applications could generate between .2 trillion and .8 trillion in annual revenue.Consumer AI revenue could come from subscriptions and advertising, while enterprise applications include software development, sales, marketing, customer service and IT operations.That leaves a potential gap of about .2 trillion that would need to be filled by new AI products, services and markets.Where Could the Additional Revenue Come From?Bain identified several areas that could help expand the AI economy beyond today's applications.One major opportunity is AI-powered search and advertising, where AI assistants could increasingly take over functions traditionally performed by search engines.Another area is autonomous technology, including self-driving cars, trucks, drones and industrial automation. Bain also highlighted physical AI, including robotics, simulations and digital twins used in research, manufacturing and other industries.New applications that do not yet exist could also contribute significantly. The report points to areas such as AI-powered drug discovery, mental health and energy generation as possible sources of future revenue.AI Boom Is Also Boosting HardwareThe expansion of AI computing is having a major impact on the semiconductor and hardware industries.Bain reported that hardware and semiconductor companies' market capitalisation grew at a compound annual rate of 24% between 2020 and 2026, compared with 6% for software companies.High-bandwidth memory, advanced packaging and custom silicon are among the areas benefiting from increasing demand for AI computing infrastructure.However, the rapid focus on AI-related hardware is also creating supply concerns. Bain warned that increased demand for high-bandwidth memory could affect investment in other memory products, potentially contributing to shortages and higher prices for smartphones and PCs.AI Infrastructure Spending Could Reach .5 TrillionThe scale of the infrastructure buildout is expected to remain substantial. Bain projects that global data-centre spending could reach between trillion and .5 trillion by 2030, potentially adding at least 150 gigawatts of capacity.The report also noted that data-centre sizes and costs are increasing rapidly, while developers are facing challenges involving electricity, water, transformers and other infrastructure requirements.The findings underline that the next phase of the AI boom will depend not only on developing more powerful models but also on finding applications that can generate sufficient economic value to support the infrastructure being built around them.
