1. Containment requires realtime adjustments to control fields which benefit from very powerful specialized machine learning models.

2. Designs require advanced simulations which benefit from AI both in building the simulations and running them.

3. Material science benefits from models learning how particles interact and materials behave in certain conditions so we can predict which materials are worth producing.

These are odd the top of my head and I'm not a fusion physicist. There's probably a lot more examples.

Advanced AI could be very useful for science and engineering tasks. AI-accelerated fusion R&D will achieve success sooner than without AI.