“Through the next several years, the need for capacity will make AI infrastructure, including AI-optimized IaaS, AI-optimized servers, AI network fabric, AI processing semiconductors and devices, the largest segment of the market, accounting for over 45% of spending, which will be driven by vendors,” said John-David Lovelock, Distinguished VP Analyst at Gartner. “Within this segment, spending on AI-optimized servers will triple over the next five years to become the largest subsegment, as cloud services providers expand capacity in anticipation of the workloads created by GenAI models and agentic workflows.”

Enterprises will expand their use of both the GenAI models embedded in existing software applications and the new AI agents within multiple workflows. Model consumption will increase through multistep processes and integration into broad suites of tools as enterprises recognize the potential value of agentic automation. This dynamic means that the short-term outlook for AI models has been increased to 110% growth in 2026, adding $6 billion in spending for this year (see Table 1).

Source: Gartner (May 2026)

“For this reason, CIOs face challenges in proving the value from AI investments and demonstrate tangible business outcomes,” said Lovelock. “Aligning AI initiatives with strategic business objectives is the essential step for success. This incremental approach persists despite AI hype and valuations that reflect aspirations to transform the broader economy.”