Ask most enterprise technology teams where they spend their AI strategy energy and you will get the same answer: figuring out which model to use. It feels like the right question. As organizations move from pilots into production and the real compliance, cost and continuity risks appear, it turns out to be the wrong one. I believe the answer is open-weight and open-source models, not because they are cheaper, but because they are structurally better suited to how serious organizations need to govern and protect AI at scale. Why closed models create governance problemsBuilding an enterprise AI program on closed, proprietary models from a single external provider is not a technology decision.