As artificial intelligence systems advance, they are increasingly capable of producing sophisticated mathematical arguments and novel technical designs that exceed the immediate grasp of human researchers. In a recent guest post, Amit Sahai suggests that this shift requires a fundamental change in how the mathematical community approaches its role. Rather than viewing AI as a replacement for human effort, Sahai argues that the primary responsibility of future mathematicians will be to act as a bridge between machine-generated discoveries and human understanding. This is particularly vital for high-stakes applications, such as the design of complex infrastructure like a one-terawatt nuclear fusion power plant. Because such systems would operate on principles potentially beyond current human experience, relying solely on AI-generated guarantees without independent human verification poses significant risks. Understanding these systems requires more than just accepting a result; it necessitates a deep engagement with the underlying models, experimental evidence, and inherent uncertainties. To address this, Sahai proposes the creation of a 'deployable intellectual reserve'—a broad community of mathematically sophisticated individuals capable of collectively analyzing and validating consequential AI-enabled breakthroughs. This approach emphasizes that human agency is a fundamental value, and that the ability to meaningfully evaluate alternatives and decide on the direction of technological progress must be preserved. By fostering collaborative research groups that dedicate time to studying and verifying these new ideas, the mathematical community can ensure that society retains the capacity to understand the technologies that will shape its future.