In this episode, we sit down again with Brian Innes - this time with his Accenture hat on- to unpack how AI is actually being used in the energy transition—and where it may be overhyped.

We explore how machine learning is helping forecast supply and demand, optimise generation, and unlock flexibility in industrial processes to better match renewable energy. Rather than replacing humans, AI is emerging as a decision-support tool—augmenting operators and enabling participation in increasingly complex, fast-moving energy markets.

We also touch on the broader system impacts, from improving grid efficiency to the growing importance of data, as well as key challenges like model drift, oversight, and the rising energy demand of data centres.