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. Writing on CIO.com this year, Floyd DCosta argued the divide is between enterprises that own their AI and those that rent it, and later that closed-model dependency is outsourced intelligence with a vendor kill switch in your operations. He is right. But the ownership question raises a harder one: own it how? 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.

Full opinion : There’s a coming governance shift that will define enterprise AI in the next decade.