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Five lessons the climate movement learned the hard way, and how they might apply to AI safety
This is a Community Insight by Humanity Hub member Piotr Drozd, originally published on Climate x AI on 5 August 2026. The views expressed are those of the author and do not necessarily reflect those of the Humanity Hub.
I’ve spent the bulk of my working life getting people, businesses and entrepreneurs to care about climate change. This summer I got round to some long-delayed reading about the trajectory of AI and the ethics and safety conversations around it, and something started nagging me. To my utter surprise, given I thought I was learning about a completely new field, much of what I read seemed… quite familiar. Not so much the content as the form and framing of many of the debates.
Given that some of the potential risks associated with advanced AI may move a lot faster than the long-term impacts of climate change, people working on AI safety might have less time to learn things the hard way, and less excuse for repeating mistakes someone else has already made. So here’s my humble attempt at sharing what the climate community has learned over the past few decades while working on one of the other global risks that keep a lot of people awake at night.
Read the full article on Climate x AI.
Are you a Humanity Hub member with insights you would like to share with the community? Let us know at engage@humanityhub.org.