The global spending on AI is projected to hit $2.52 trillion in 2026, marking a 44% increase from the previous year. According to Gartner’s Distinguished VP Analyst, John-David Lovelock, AI adoption hinges on human capital and organizational readiness rather than just financial investments.
Organizations with higher experiential maturity are now prioritizing proven outcomes over speculative potential. The report highlights that investing in AI foundations alone will lead to a 49% surge in spending on AI-optimized servers, constituting 17% of the total AI expenditure.
Moreover, AI infrastructure is expected to see an additional $401 billion in spending as technology providers enhance AI foundations. Lovelock noted that due to AI being in the Trough of Disillusionment, it will mainly be sold to enterprises by their existing software providers rather than being part of new projects.
He emphasized the necessity for improved ROI predictability before AI can be significantly scaled up by enterprises. A recent study indicated that an estimated $2 trillion in annual revenue is required to meet the computing power demand for AI by 2030 globally. Despite AI-related savings, the world still faces an $800 billion shortfall to meet the demand.
By 2030, the global incremental AI compute needs could soar to 200 gigawatts, with the US accounting for half of this power consumption. Leading companies have transitioned from piloting AI capabilities to reaping profits from AI as they integrate the technology into core workflows, resulting in significant EBITDA gains over the past two years.
