Global spending on AI is expected to hit $2.52 trillion in 2026. That would be a massive 44% increas

Gartner: AI Spending to Hit $2.52T in 2026 as GenAI Hits 'Trough of Disillusionment'

AI is still growing fast—just differently. Gartner's latest forecast puts global AI spending at $2.52 trillion in 2026, a 44% jump. But the report flags a split: foundational models are maturing, while application-layer innovation is accelerating. In other words, the hype is settling, but the build-out isn't slowing.

Generative AI has officially entered the "trough of disillusionment" on Gartner's hype cycle—a sign of market reality, not tech failure. MIT's Project NANDA backs that up: 95% of enterprise genAI pilots failed to deliver measurable business value. The gap between promise and execution is real.

Enterprises are getting smarter about procurement. They're favoring embedded AI from existing software vendors, making AI a standard feature, not a separate buy. Infrastructure, though, is still booming: $1.36 trillion in 2026, up 49%.

On the app side, Gartner predicts that by 2028, over half of enterprise genAI models will be domain-specific—and 2026 is already showing strong momentum. The big shift? Agentic AI. Unlike traditional genAI, agents can decide, plan, and act. In cloud cost optimization, they don't just report—they fix. Multi-agent systems take it further. The next phase isn't just generating text; it's getting things done.