AI Boom Ripples Beyond Chips Into Wider Economy

The doughnut analogy captures the widening shape of the artificial-intelligence boom: GPUs sit at the center, while high-bandwidth memory, advanced packaging, servers, power equipment and cloud services form an expanding outer ring. Demand that began with chips is rippling through the broader economy, tightening capacity and raising costs for PCs, smartphones and cars. The pattern matters because AI investment is becoming both a growth engine and a source of inflationary pressure across supply chains.

On April 8, 2026, Gartner forecast global semiconductor revenue would exceed $1.3 trillion this year, up 64%, with AI chips accounting for about 30% of sales and DRAM prices rising 125%. Morgan Stanley said on June 3 that memory prices had increased sixfold in 12 months as producers favored higher-margin data-center components. With new fabs costing tens of billions of dollars and taking years to build, the shortage is now feeding into device prices, cloud bills and corporate margins.