From someone having worked at the forefront of artificial intelligence applied to scientific text for the past seven years, in this talk we will cover past learnings, current trends, and point to the future of AI for higher education and research. We will discuss the challenges, the possibilities, and the current very concrete opportunities – as AI in a lot of fields tries to move from theory to practice, or perhaps rather from cool demo ML models to actual useful products with user friendly interfaces.