Green IO

What if the biggest barrier to sustainable AI isn't carbon — it's the economics? ... again!

On today's episode of Green IO, Gaël is joined by Boris Gamazaychikov and Sasha Luccioni, two leading voices at the intersection of AI, energy, and sustainability, who recently left their roles at major tech companies to tackle these questions head-on. Together they unpack the financial architecture driving the AI infrastructure boom — and why understanding the money is the key to understanding everything else.

From the jaw-dropping revenue margins of hyperscale data centres to the hidden lifecycle of GPU hardware, Boris and Sasha make a compelling case that the AI industry is entering a decisive new phase — one where enterprises are finally gaining the leverage to demand transparency, efficiency, and genuine accountability from the companies selling them AI.

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.

Do software engineers still have the choice of not using AI? The numbers speak volumes and the short answer is ...no. For the environmentally-aware developer, this is a daily dilemma.

In this episode of Green IO, Gaël is joined by Natasha Ann Lum, co-founder of the RagTech podcast and MC at Green IO Singapore 2026. She practices AI-assisted coding every day. But here’s the catch - she’s doing so by ‘embracing the discomfort of AI’, warts and all. That means jumping in, finding the relevant use cases for AI in her daily workflow, and mitigating its costs.

Natasha’s approach comes from a place of advocacy that many other responsible technologists can relate to; data sovereignty, minimising environmental impacts and finding ways to speak truth to power. And behind it all is a decision-making framework that threads everything together.

You don’t have to be a CEO to have a lot of influence.
In fact, you can effect much more change that you might realise…
On today’s episode of Green IO, Gaël is joined by Andrea Learned, a renown communications strategist who’s using her skills to revolutionise the conversation around sustainability. Andrea’s specialty is climate leadership - but that doesn’t mean her insights are exclusive to the C-Suite. As she explains it, all of us have the power to impact our professional workspaces and communities.

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