trillion dollars in annual revenue is what’s needed to fund computing power needed to meet anticipated AI demand by 2030. However, even with AI-related savings, the world is still $800 billion short to keep pace with demand, new research by Bain & Company finds. Bain’s sixth annual Global Technology Report released today shows, by 2030, global incremental AI compute requirements could reach 200 gigawatts, with the US accounting for half of the power. Even if companies in the US shifted all of their on-premise IT budgets to cloud and reinvested the savings from applying AI in sales, marketing, customer support, and R&D into capital spending on new data centers, the amount would still fall short of the revenue needed to fund the full investment, as AI’s compute demand grows at more than twice the rate of Moore’s Law, Bain notes.

Full report : Bain & Company says even with AI-related savings, investors are still $800 billion short in annual revenue required to profitably fund the data centers of 2030.