Is AI genuinely helping us build a more sustainable world — or are we papering over inconvenient trade-offs with a shiny new tool?
On today's episode of Green IO, Gaël is joined by Jeremy Tamanini, a researcher and consultant who has spent years investigating applied AI for sustainability use cases. Jeremy brings a refreshingly grounded perspective to one of the most hyped conversations in tech: can AI actually move the needle on environmental and social outcomes, or does the framing of "AI for good" obscure more than it reveals?
Together, Gaël and Jeremy resist the temptation of easy answers. Rather than cheerleading or catastrophising, they dig into concrete examples — from carbon accounting platforms embedding AI to cut compliance workloads, to satellite imagery married with machine learning to illuminate Scope 3 emissions that would otherwise remain invisible. The conversation is a careful, honest attempt to map where the evidence points, where it is still missing, and why that distinction matters enormously.