What’s next for mathematics now that AI is upending the field?

Mathematics, once largely untouched by disruptive innovation, is now facing a seismic shift due to artificial intelligence. AI has begun generating significant mathematical discoveries and is rapidly advancing, raising questions about the future of the field. Terence Tao, a renowned mathematician, warns that AI companies are harming mathematics by exploiting existing knowledge at an unprecedented pace.

This rapid progress may lead to a future where mathematicians are no longer needed, as AI takes over the role of problem-solving. However, Tao also sees a potential upside: mathematicians could become the controllers of powerful AI tools, pushing the field forward in ways they couldn't imagine before. The rise of AI in mathematics has also raised concerns about how future generations of mathematicians will be trained.

With AI solving problems at lightning speed, traditional methods of teaching mathematical skills may become obsolete, leaving a generation without the necessary expertise to interpret AI-generated results. Additionally, the issue of authorship arises, as AI models may soon be co-authors or sole authors of mathematical papers. This raises questions about who should be credited and how the academic process will adapt to the presence of AI.

Despite these challenges, some mathematicians remain optimistic about the future of the field. They believe that humans will still play a crucial role in guiding and interpreting AI-generated results, fostering human connections, and participating in workshops and discussions. However, the practice of mathematics itself is expected to change significantly, becoming a more collaborative and dynamic process between humans and machines.