The Infrastructure Race
The tech world has officially entered the 'bricks and mortar' phase of artificial intelligence. According to insights shared at Citi’s 2026 Global TMT Conference, the projected capital expenditure for global AI infrastructure is set to balloon to $3.8 trillion by 2030, a massive leap from the $1 trillion seen in 2026. This surge highlights a growing consensus: the digital intelligence revolution requires a staggering amount of physical backbone.
Large financing partnerships are becoming the norm, signaling that industry leaders are moving past experimental pilot programs and into full-scale industrial build-outs to support long-term demand.

Enterprise AI: A Tale of Two Budgets
Despite the massive investment in underlying infrastructure, enterprise adoption of AI remains a fragmented landscape. Data suggests a clear divide:
- A large majority of organizations are still allocating only a small fraction of their total technology budgets to AI initiatives.
- A smaller, highly competitive tier of 'early adopters' has already committed significant portions of their capital to AI transformation.
- The current gap between these two groups suggests significant room for future spending growth as AI projects begin to prove their measurable returns.
Strategic Market Outlooks
For IT service providers and hardware companies, the outlook is one of cautious optimism. Projections for the U.S. IT market hover around mid-single-digit growth. Companies are aiming to outperform this baseline by 200–300 basis points, though leaders remain mindful of macroeconomic volatility and lingering supply chain risks.
Supporting this growth will require enormous investment in physical infrastructure. We project global AI-related capex to grow to $3.8 trillion by 2030.
— Citi 2026 Global TMT Conference Outlook
