Weather forecasts used to come from satellites, data models, and a hopeful meteorologist pointing at a green screen. Now, artificial intelligence is joining the mix — and changing how we see the skies.
Across Europe and Asia, AI-driven climate systems are predicting storms, floods, and droughts with unprecedented precision. Deep-learning models, trained on decades of atmospheric data, can forecast weather patterns days earlier than human experts once could. In Japan, AI already helps warn fishing towns of incoming typhoons. In Kenya, farmers receive AI-based text alerts that help protect crops from unexpected heat waves.
But as algorithms grow more accurate, a new question emerges: who owns the weather data? Tech companies are starting to treat climate intelligence as intellectual property, raising ethical concerns about access and accountability.
So while AI might make the sky more predictable, it’s also making the business of weather forecasting cloudier. Progress, like the forecast, always comes with a few patches of uncertainty.
