Gartner Sees 2026 AI Spending Hitting $2.7 Trillion as Chip Demand Nears $2 Trillion by 2030
Updated
Updated · Computerworld · Sep 24
Gartner Sees 2026 AI Spending Hitting $2.7 Trillion as Chip Demand Nears $2 Trillion by 2030
3 articles · Updated · Computerworld · Sep 24
Summary
$2.7 trillion in worldwide AI spending is forecast for 2026, up 49.5%, with another 36.2% growth in 2027 as AI becomes embedded across laptops, software and business projects.
Gartner said the surge is not mainly money diverted from other IT budgets: some net-new funding arrived in 2024 and 2025, while much existing spending is being recast as AI-related.
77.3% growth in AI agents and assistants, 60.2% in AI software and 51.2% in AI infrastructure underpins the outlook; Gartner also raised its 2026 forecast for AI development platforms to 39%.
117% growth for generative AI models reflects rising demand for domain-specific enterprise models, while AI security spending is expected to nearly double.
Nearly $2 trillion in semiconductor spending by 2030 surprised Gartner, which said soaring memory demand from more capable AI servers—not a simple shortage—is driving chip costs sharply higher.
With 2026 AI spending hitting $2.7 trillion, are we witnessing humanity's greatest infrastructure buildout or a massive financial bubble waiting to burst?
Could a hidden bottleneck in Asian memory chip supply chains suddenly derail this year's massive $2.7 trillion AI infrastructure expansion?
As AI data centers demand gigawatt-scale power, will the global energy grid collapse under the weight of our trillion-dollar tech obsession?