"Math 1.0" placed a premium on being the first to solve an open problem, even if the solution was not initially well understood. Now that this goal has been optimized to the point of unsustainability, "Math 2.0" will need to decenter the role of raw problem solving and value mathematical progress more holistically - for instance by elevating the role of exposition, but also that of community building and opening up new directions of study. I believe that AI can contribute positively in all of these directions as well; but it will require more imagination and ambition than the "Math 1.0" mindset of simply pointing one's favorite AI agent at some set of open problems and asking for a solution. And our community will need to explicitly re-evaluate its criteria for education, publication, and career advancement, to reflect the "Math 2.0" era. (4/4)