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Good morning, this is Michelle. Artificial intelligence can crunch vast amounts of data points at breathtaking speed, and meteorologists see major potential to make weather predictions faster and cheaper.

A project in Malawi, backed by the World Meteorological Organization, reveals what the technology can do – and the hurdles it must still clear before becoming a true game-changer.

photo journaliste

Michelle Langrand

23.01.2026


Solutions lab


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Filesi Topola is seen on her farm in Mulanje, southern Malawi, Tuesday, July 29, 2025. Farmers depend on reliable weather forecasts to make everyday decisions that determine whether they have a successful season or a failed one. (Kyestone/AP Photo/Thoko Chikondi)

As international organisations in Geneva confront staff cuts and tightening budgets, one UN agency is testing whether artificial intelligence can help it do more with less – without sacrificing public trust.

The World Meteorological Organisation (WMO) has stepped up its focus on AI for weather forecasting at a time when traditional forecasting infrastructure remains prohibitively expensive for many low-income countries. A pilot project linking Norway and Malawi is now offering one of the clearest real-world examples of what the shift to AI could mean – and where its limits still lie.

Read the full story on Geneva Solutions.


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