Using energy-hungry AI to detect climate tipping points is a paradox

AI-driven climate monitoring systems should operate according to defined carbon budgets and become more efficient in their use of energy and water
A view of the supercomputer at the European Centre for Medium-Range Weather Forecasts in Bologna, Italy
A view of the supercomputer at the European Centre for Medium-Range Weather Forecasts in Bologna, Italy, September 17, 2025. (Photo: REUTERS/Ali Withers)

Join us to keep reading

Our goal is simple: to help you make sense of the policy decisions shaping the planet and what they mean for all of us.

Join free and keep reading →

It takes less than a minute.


Or login below to unlock access if you already have an account.

Benefit from more essential insight

Our unprecedented reporting provides experts and professionals globally with the analysis and insight they need to navigate the most important climate issues.

Trusted by the UN, World Bank, and governments around the world, sign up today and see why our award-winning coverage has been considered the authority for almost 15 years.

Essential

£0

A few top stories each week alongside our Climate Weekly newsletter.

Premium

£40

per quarter

Unlimited access to our expert coverage alongside our Climate Weekly newsletter. You can upgrade to an annual subscription at any time.