Emergent AI tools such as ChatGPT and Gemini have presented unique challenges for academia and especially the Humanities. How do we assess students when language models create coherent essays, how do we distinguish between AI and human generated artwork, how do we challenge them to think when thinking seems to have become automated in the same way calculation was in earlier technological epochs? In this talk, I chart a few paths to positive collaboration between human and AI learners. I do so by discussing the mathematical nature of generative AI and show that universities need to embrace creativity-based models of learning over memorisation ones to fruitfully align with the AI tools which will either enhance or outsource our thinking in the future. 

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