Demand Shifts

Gartner's AI Spending Forecast Hits $2.7 Trillion for 2026

Gartner's AI spending forecast puts 2026 spend at $2.7 trillion, up 49.5% year over year, though AI agents and assistants stay a tiny slice.

By The Pull Desk·Today·5 min read
Demand Shifts

Gartner's AI Spending Forecast Hits $2.7 Trillion for 2026

The short version

THE SHORT VERSION: Gartner's latest AI spending forecast, published September 16, puts total 2026 AI spend at $2.7 trillion, up 49.5% year over year, and projects $3.6 trillion for 2027. The overwhelming majority is still going to infrastructure and data centers, not the GTM-facing agents and assistants founders actually touch, which is the number worth sitting with before you budget for another AI seat.

What happened

Gartner published its worldwide AI spending forecast on September 16, 2026, projecting global AI spend will reach $2.7 trillion this year, up from $1.79 trillion in 2025, and climb to $3.64 trillion in 2027. The breakdown skews heavily toward infrastructure: AI infrastructure accounts for $1.48 trillion of the 2026 total, followed by AI services at $576.5 billion and AI software at $461.6 billion. Inside that software line, AI agents and assistants, the category most GTM tools fall under, account for just $29.2 billion, a fraction of the overall spend. Distinguished VP Analyst John-David Lovelock called the AI data center buildout "the largest infrastructure project humanity has undertaken," noting demand remains strong despite memory pricing pressure.

Why this AI spending forecast matters for GTM budgets

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The headline number makes AI spending look unstoppable everywhere, but the category breakdown tells founders something more useful: the money is overwhelmingly flowing into chips, data centers, and model infrastructure, not the agent and assistant tools that show up in a GTM stack. That $29.2 billion agents-and-assistants line is real growth, but it's a rounding error next to the $1.48 trillion going to infrastructure. Vendors pitching AI features will keep citing the $2.7 trillion headline; the honest read is that most of that money never touches a sales or marketing budget line at all.

  1. Separate infrastructure hype from tool-level ROI
    When a vendor cites AI spending growth to justify a price increase, ask which line item they're actually part of. A tool in the $29.2 billion agents-and-assistants category is competing in a much smaller, faster-moving market than the infrastructure numbers suggest, which should change how you evaluate lock-in and pricing power.
  2. Expect AI line items to keep splitting out of your existing tools
    As agent and assistant spending grows off a small base, expect more vendors to unbundle AI features into separate, consumption-based charges rather than folding them into your existing seat price. Budget for this now instead of getting surprised by a bill that doubles mid-contract.
  3. Revisit your 2027 tooling budget with the growth rate in mind
    Gartner's 49.5% year-over-year growth rate for 2026, projected to continue into 2027, suggests the AI line item in your own toolstack budget should grow faster than your headcount or revenue line for at least another year. Build that assumption into planning now rather than reacting to it at renewal.

By the numbers: Global AI spend is projected at $2.7 trillion in 2026 (up 49.5% from $1.79 trillion in 2025) and $3.64 trillion in 2027, with AI infrastructure ($1.48 trillion) dwarfing AI agents and assistants ($29.2 billion).

What to do this week

Pull up your own tool stack and tag every line item that includes an AI feature, then check whether it's billed as part of your base subscription or as a separate usage-based charge. If more than one vendor has already split AI into its own line, budget for the rest of your stack to follow within the next renewal cycle, and use that as your opening question the next time a sales rep pitches an AI add-on.

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