AI Spending to Reach $2.7 Trillion in 2026, Gartner Forecasts

What happened

Gartner expects worldwide AI spending to rise 49.5% in 2026, reaching $2.7 trillion, and to grow a further 36.2% in 2027. The projections come from the research firm's latest quarterly update to its IT spending forecast, which tracks how organisations allocate technology budgets as AI usage expands.

Gartner Distinguished VP Analyst John-David Lovelock argues that the growth is not being funded by cutting other areas of IT. Chief information officers received net new money for AI in 2024 and a smaller amount in 2025, he said, so the shift has been less a diversion of budgets than a relabelling of existing spend. Much of what now appears as AI investment is, in his view, conventional technology purchasing given an AI framing.

Lovelock's broader forecast is that by 2030 nearly every technology dollar will be an AI dollar in one form or another. Hardware purchases now include AI-enabled chips, enterprise software increasingly embeds AI features, and strategy projects are being scoped around how AI might reshape the business. The coverage in Computerworld, which first reported the figures, notes that net new spending is moving towards AI while existing budgets are being transformed.

Why it matters

For leaders in digital transformation, the significance lies less in the headline number than in what it signals about how organisations will buy, build and run technology. When AI is embedded in laptops, enterprise platforms and advisory work alike, it stops being a discrete programme with its own budget line and becomes a condition of ordinary operations. That changes governance, vendor selection and the measurement of return, because the question shifts from whether to adopt AI to how well each existing system uses it.

For service and experience teams, the same shift has a practical consequence. AI capability will increasingly sit inside the tools staff and customers already touch, which means service quality will depend on how deliberately those features are configured, tested and integrated. The organisations that benefit most are likely to be those that treat AI embedded in existing platforms as a service-design question, not just a procurement one.

By the numbers

• 49.5% projected growth in worldwide AI spending in 2026, according to Gartner's latest quarterly IT spending update.
• $2.7 trillion forecast total worldwide AI spending in 2026.
• 36.2% projected further growth in AI spending in 2027.
• 2030 the year Gartner's analyst expects nearly every IT dollar to be spent on AI in some form.

The Renascence take

The headline will be read as a story about investment momentum. We read it as a story about relabelling, and that is where the risk sits.

If most of tomorrow's AI spend is yesterday's software budget with a new name, then the real test is whether the experience improves at all. Leaders should audit AI features already paid for inside their stack before buying more, and ask which customer or employee task each one actually changes. The behavioural principle is simple: people adopt what fits their existing habits, so the design work lies in the workflow, not the licence. Operators who measure AI by usage rather than by spend will be the ones who know whether it is working.