Source: Featured Blogs - Forrester
The sovereignty debate around enterprise AI adoption is about who retains decision-making authority over model training, deployment, and updates once AI systems become critical to business operations. Forrester's framing identifies the real friction point: enterprises and governments want guarantees that they can audit, modify, or even fork their AI systems without dependence on a single vendor or nation-state. This requires architectural and contractual controls that current cloud models systematically obscure. The distinction matters because it reframes vendor negotiations away from data-location theater and toward conversations about model governance, access to weights, and liability—conversations most AI vendors aren't yet equipped to have.