Global AI Spending to Reach $2.6 Trillion in 2026 as Infrastructure Boom Accelerates, says Gartner

Worldwide spending on artificial intelligence is projected to reach $2.59 trillion in 2026, up 47% from 2025, as enterprises and cloud providers ramp investments in AI infrastructure, models, and agentic automation, according to new forecasts from Gartner.

The sharp increase signals that AI spending is moving beyond experimentation into large-scale infrastructure buildouts designed to support generative AI models, autonomous AI agents, and increasingly compute-intensive enterprise workloads.

Gartner said AI infrastructure will remain the largest spending category over the next several years, accounting for more than 45% of total AI expenditure. That segment includes AI-optimized cloud infrastructure, networking, semiconductors, and servers tailored for AI processing.

John-David Lovelock, Distinguished VP Analyst at Gartner, said spending on AI-optimized servers alone is expected to triple over the next five years as hyperscalers and cloud providers expand capacity to meet demand from generative AI and agentic AI workloads.

The forecast highlights how the economics of AI are increasingly being shaped by infrastructure rather than just software. AI infrastructure spending is expected to rise from nearly $976 billion in 2025 to more than $1.43 trillion in 2026, before approaching $1.9 trillion in 2027.

At the same time, enterprises are expected to significantly expand their use of embedded generative AI capabilities and autonomous AI agents integrated into business workflows.

Gartner said organizations are increasingly recognizing the value of agentic automation, where AI systems execute multistep tasks across enterprise applications and tools with limited human intervention. That trend is expected to accelerate demand for AI models, with spending in that segment forecast to grow 110% in 2026 to more than $32 billion.

AI software spending is also projected to climb sharply, reaching $453 billion next year, while AI cybersecurity spending is expected to more than double to over $51 billion as organizations attempt to secure increasingly complex AI environments.

Despite the rapid spending growth, Gartner warned that most enterprises are still approaching AI cautiously. Lovelock said current enterprise AI investments remain focused largely on tactical efficiency and productivity gains rather than broader business transformation.

That creates a growing challenge for CIOs and technology leaders attempting to justify escalating AI budgets and demonstrate measurable business outcomes.

“Enterprises have yet to really flex their spending potential,” Lovelock said, adding that 2026 is likely to become an inflection point as organizations move from pilot projects toward larger-scale deployment.

The forecast also underscores the widening divide between AI hype and operational reality. While market valuations and corporate messaging increasingly center on AI-driven economic transformation, Gartner said many organizations continue to prioritize incremental improvements over disruptive reinvention.

Still, the scale of projected spending suggests the AI investment cycle is entering a new phase dominated by infrastructure expansion, cloud capacity races, and the growing operational demands of running enterprise-grade AI systems at scale.