Artificial Intelligence is seen as a critical tool for solving climate change. We talk about optimizing grids, accelerating material discovery, and predicting extreme weather.
But can AI really help us solve the climate crisis faster than it contributes to it?
Today I’m joined by three sharp thinkers in the world of climate:
Hampus Jakobsson: founding partner at Pale Blue Dot and a bullish believer in AI for climate
Pippa Gawley: founding partner at Zero Carbon Capital and a cautious observer of the AI hype
Matteo Turchetta: co-founder and CTO at KoraLabs and PhD in AI for sustainable agriculture from ETH Zürich
Together, we explore the question: Is AI a good thing for the climate?
We talk about:
Why adding “AI” to your pitch won’t save a climate startup
How smaller, smarter models could reduce emissions
Whether climate data is good enough to train real solutions
When AI crosses the line from helpful to harmful
How small AI wins might unlock massive physical world impact
When regulation makes sense, and when it stifles innovation
… and more!
Where to find Hampus, Pippa & Matteo:
Timestamps:
(00:00) Introduction
(01:30) AI Solution Categories
(03:57) Investor Skepticism
(06:54) Practical Use Cases
(12:30) Data Quality Matters
(17:17) Environmental Impact of AI
(23:05) Solving Real Problems
(33:57) Accelerating Dirty Industries
(40:05) Responsible Use of AI
(46:06) Key Takeaways
Subscribe on your podcast platform:
Apple Podcasts - https://shorturl.at/HIDcg
Spotify - https://shorturl.at/yDTfR
