Global IT spending to hit $6.37 trillion as AI strains budgets

Global IT spending is projected to reach $6.37 trillion in 2026, up 14.2% from 2025, as AI investment reshapes how enterprises allocate technology budgets across compute, software, and data infrastructure.

Gartner, the research and advisory firm, published the forecast in July, with AI investment cited as a key pressure point on corporate IT budgets as organizations redirect spending toward AI infrastructure and related services.

The 14.2% year-over-year growth rate marks a significant acceleration in IT spending, driven by enterprise demand for AI compute capacity, data management tools, and AI-enabled software. The forecast suggests AI is no longer a discretionary line item but a structural driver of IT budget growth.

For technology vendors, the spending trajectory favors companies positioned in AI infrastructure and services. Cloud providers including Microsoft, Amazon, and Google, along with AI chip makers such as Nvidia, stand to capture a growing share of enterprise IT budgets, while traditional software and hardware vendors face pressure to adapt their offerings to AI-centric purchasing patterns.

Where the $6.37 Trillion Goes

The Gartner forecast reflects a fundamental shift in enterprise technology spending. AI-related investments — spanning GPU procurement, cloud capacity, model training, and AI-enabled software — are absorbing an increasing share of IT budgets, forcing CIOs to reallocate funds from legacy systems and traditional software licenses.

This reallocation has implications across the technology stack. Companies that provide AI infrastructure, from Nvidia's GPUs to hyperscale cloud capacity from Microsoft Azure, Amazon Web Services, and Google Cloud, are positioned to benefit from the spending surge. Meanwhile, traditional enterprise software vendors face the challenge of demonstrating AI value to justify continued budget share.

The shift is visible in how enterprises prioritize spending. Organizations are increasingly treating AI as core infrastructure rather than experimental technology, which means budget decisions are being made at the executive level rather than within individual IT departments. This centralization of AI spending decisions could accelerate the pace of adoption, as AI initiatives receive priority funding over other technology projects.

The competitive dynamics are also shifting. AI infrastructure providers are competing not just with each other but with traditional IT vendors for the same budget dollars. Enterprises are evaluating whether to build AI capabilities in-house, purchase them from cloud providers, or adopt AI-enabled software from established vendors. These decisions will determine which companies capture the largest share of the $6.37 trillion in projected spending.

For enterprise buyers, the spending shift means tougher decisions about where to invest. AI initiatives often require significant upfront capital for compute infrastructure, model development, and integration, which can strain budgets that were previously allocated across a broader range of technology projects.

Winners and Losers in the AI Spending Shift

For investors, the forecast provides a macro-level view of where enterprise technology spending is heading. The 14.2% growth rate points to sustained demand for AI infrastructure, which could support revenue growth for companies across the AI value chain — from chip manufacturers to cloud providers to AI software vendors.

However, the forecast also highlights competitive pressure within the IT sector. As AI absorbs a larger share of budgets, vendors that fail to integrate AI capabilities into their products risk losing market share to AI-native competitors. The spending shift is not uniform across the sector — it favors companies with AI infrastructure, data management, and AI-enabled software offerings.

The forecast also raises questions about the sustainability of AI-driven spending growth. If enterprises continue to allocate an increasing share of IT budgets to AI, pressure on non-AI technology spending could intensify, creating winners and losers across the sector. For CIOs, the challenge is balancing AI investment against the need to maintain and upgrade existing systems.

The trajectory also has implications for IT vendors' pricing power. As AI becomes a larger component of enterprise budgets, vendors with differentiated AI offerings may be able to command premium pricing, while commoditized IT products face increasing price pressure. This dynamic could reshape margin profiles across the technology sector over the next several quarters.

This article is for informational purposes only and does not constitute investment advice.