Aaron Levie on Why Open AI Wins

Open-weight AI serves as a critical catalyst for innovation, fostering a more competitive ecosystem that compels closed-model providers to deliver greater value. Rather than viewing open and closed models as a zero-sum game, the industry benefits from the widespread diffusion of AI capabilities, which drives down inference costs and expands the range of viable use cases. Distillation remains a natural, unavoidable economic activity, and attempts to restrict it fail to address the underlying reality of how models are trained. For enterprises, the future lies in model routing, where organizations dynamically select the most effective and cost-efficient models for specific tasks. This shift allows companies to tackle increasingly ambitious engineering roadmaps, as AI tools significantly reduce the time and complexity required to execute projects that were previously deemed too resource-intensive to pursue.