As of 2026-05-11, there are zero operational 1+ GW AI campuses; the largest…
As of 2026-05-11, there are zero operational 1+ GW AI campuses; the largest existing campuses are 300–600 MW, with 1+ GW sites expected in 2027–28.
- Jigar Shah asserts 15–20 'giant campuses' of 1–5 GW are required for frontier training by 2030 and are already under construction, and that the other ~600 GW of planned capacity should stop chasing training use cases.
- For inference, 50–100 regional hubs of 100–500 MW are non-negotiable because model weights are too large; 100 kW telco towers are useful only for voice AI/AR/VR/autonomous vehicle cases, and residential nodes only support on-device 7B models—distributed inference is real at Tier 4 (on-device) and Tier 3 (edge), but frontier training/agentic workloads will remain centralized due to physics and model size.
Jigar Shah (@JigarShahDC) lays out an AI infrastructure roadmap: as of 2026-05-11 there are zero operational 1+ GW campuses (largest 300–600 MW; 1+ GW expected 2027–28). He argues 15–20 1–5 GW campuses are needed for frontier training by 2030, 50–100 regional 100–500 MW hubs for inference, while 100 kW telco and residential 7B on-device options have limited roles.