SAN FRANCISCO — A new report from Bain & Company projects that technology companies will need to generate about $2 trillion in new annual revenue by 2030 to fund the computing power required for anticipated artificial intelligence demand.
The consulting firm's sixth annual Global Technology Report, released in September 2025, estimates that even with AI-related savings, investors face an $800 billion annual shortfall in the revenue needed to profitably support data centers and related infrastructure by the end of the decade.
"By 2030, technology executives will be faced with the challenge of deploying about $500 billion in capital expenditures and finding about $2 trillion in new revenue to profitably meet demand," David Crawford, chairman of Bain's Global Technology Practice, said in the report.
The projections highlight the scale of investment required amid rapid AI adoption. Major technology companies, including Microsoft, Alphabet, Amazon and Meta, have significantly increased capital spending on data centers, chips and power infrastructure. Goldman Sachs analysts estimated in June 2026 that combined capital expenditures from those four firms alone could exceed $5 trillion through 2030.
Broader market forecasts for the global AI sector vary. Some analysts project the overall AI market could reach more than $1 trillion by 2030, though estimates differ by methodology and scope.
Industry executives are optimistic about long-term revenue potential. According to an IBM Institute for Business Value study released earlier in 2026, nearly eight in 10 executives expect AI to make a significant contribution to enterprise revenue by 2030.
However, challenges remain in monetizing AI technologies at the scale needed to offset infrastructure costs. Details on how individual companies plan to bridge the projected revenue gap were not specified in the Bain report.
The findings come as hyperscalers continue heavy spending. The four major firms guided for up to $725 billion in combined capital expenditures in the current year, more than double 2025 levels, according to recent reports.
Bain researchers noted that AI compute demand is outpacing improvements in semiconductor efficiency, adding pressure on power supply and global supply chains.
As of June 2026, major technology companies have not publicly detailed precise AI revenue targets aligned exactly with the Bain projections. The report underscores the need for innovation in algorithms, infrastructure and business models to navigate potential supply constraints.
