New Delhi, Sep 23 (NationPress) A staggering $2 trillion in annual revenue is essential to support the computing power required to satisfy the expected global demand for AI by 2030, a recent report revealed on Tuesday.

Despite the savings attributed to AI, the world faces a shortfall of $800 billion to meet this demand, according to research conducted by Bain & Company.

The findings suggest that by 2030, the global incremental AI computing needs could skyrocket to 200 gigawatts, with the United States consuming half of this power.

Even if U.S. companies redirected their entire on-premise IT budgets to cloud services and reinvested the savings from AI applications in sales, marketing, customer support, and R&D into capital expenditures for new data centers, it would still not be enough to cover the total investment required, as AI's computing demands are growing at a rate that exceeds twice that of Moore’s Law, Bain pointed out.

“By 2030, technology leaders will need to invest about $500 billion in capital expenditures and secure approximately $2 trillion in new revenue to sustainably meet the demand. As AI computing necessities outstrip semiconductor efficiency, the trends indicate a critical need for significant increases in power supply on grids that have not expanded capacity for decades,” stated David Crawford, chairman of Bain’s Global Technology Practice.

The competitive landscape among nations and top providers has intensified, making the navigation of potential overbuild and under-build scenarios more complex than ever. Addressing the prospects for innovation, infrastructure, supply constraints, and algorithmic advancements is essential for the upcoming years, Crawford emphasized.

While the demand for computation rises, leading firms have transitioned from merely testing AI capabilities to reaping profits as organizations implement the technology across core workflows, yielding 10% to 25% gains in earnings before interest, taxes, depreciation, and amortization (EBITDA) over the past two years.

Nevertheless, a majority of companies remain entrenched in AI experimentation, content with modest productivity improvements, the report concludes.

Tariffs, export controls, and the global push for sovereign AI are speeding up the fragmentation of international technology supply chains, as noted by Bain.

Advanced fields like AI are increasingly viewed not just as engines for economic growth, but also as significant factors in national political power and security.

“Sovereign AI capabilities are progressively recognized as a strategic advantage comparable to economic and military prowess,” asserted Anne Hoecker, head of Bain’s Global Technology practice.