Morgan Stanley Forecasts AI Data Center Investment Could Reach $5 Trillion by 2030
DataNews Editorial Team
Morgan Stanley estimates that investment in AI data centers could reach $5 trillion by 2030, according to a Chinese news roundup citing First Financial. The figure is a forward-looking estimate rather than confirmed spending or commissioned data center capacity.
- Morgan Stanley estimates AI data center investment could reach $5 trillion by 2030.
- The figure is a forecast, not confirmed expenditure or operational data center capacity.
- The available report does not specify geography, spending categories, methodology or project-level allocations.
- The estimate could indicate substantial demand for AI data center, compute and power infrastructure if realised.
Morgan Stanley has forecast that investment in AI data centers could reach $5 trillion by 2030, according to a brief Chinese news report citing First Financial.
The estimate points to the potential scale of capital formation around AI infrastructure over the remainder of the decade. If the forecast is realised, it could support investment demand across data center capacity, compute hardware, electrical infrastructure and related systems.
However, the reported figure should be treated as a high-level forecast, not as evidence of committed or deployed capital. The available source does not disclose Morgan Stanley’s methodology, base case, geographic coverage or the categories of expenditure included in the estimate.
It also provides no breakdown by market, operator, asset owner, project timeline or data center capacity. As a result, the estimate cannot on its own be converted into a view of demand in MW, grid interconnection needs or power consumption in individual markets.
If realised, the forecast would imply an exceptionally large investment cycle across AI infrastructure, potentially supporting demand for data center capacity, compute equipment, power supply and associated infrastructure. The available report does not provide sufficient detail to translate the estimate into regional MW demand, power requirements or specific asset categories.
- — / October 16, 2026 · ChineseSource →
This article was prepared by the DataNews editorial team based on the sources listed above.