How large is AI-related investment relative to GDP and past booms?
Core argument: Spending on semiconductor manufacturing facilities and data centers contributed an average 0.4pp to GDP growth over the three years after 2022, up from a negligible contribution before then.
From a negligible contribution before 2022, expenditures on semiconductor manufacturing facilities and data centers contributed on average 0.4pp to GDP growth over the subsequent three years (See Graph 1.B). Total IT investment, which also includes spending by businesses on equipment and software to facilitate AI use, has accounted for almost half of GDP growth in recent quarters. By mid-2025, expenditures on IT manufacturing facilities and data centers (equipment and construction costs) were equivalent to 1% of GDP. Total IT-related investment, including investment in other IT equipment and software, [rose] to 5% of GDP, exceeding its previous peak at the height of the dot-com boom in 2000. Unlike that earlier episode, which was driven almost entirely by spending by firms using IT products, the current boom is driven by IT-producing firms. The rise in AI-related [data center and IT manufacturing facilities] investment is not particularly large by historical standards (See Graph 4.A). At ~ 1% of US GDP, it is similar in size to the US shale boom of the mid-2010s and half as large as the rise in IT investment during the dot-com boom of the 1990s. The commercial property and mining investment booms experienced in Japan and Australia during the 1980s and 2010s, respectively, were over five times as large relative to GDP.




