Predicting Weather Patterns More Accurately One of the most significant contributions of AI is in predicting weather patterns with enhanced accuracy. Traditional models often struggle to predict sudden weather changes,

Only a couple of months into 2025 and the global AI race shows no signs of slowing down – in the past few weeks alone the artificial intelligence landscape has been further revolutionised by groundbreaking advancements and unprecedented investments.

So, while ChatGPT explains how training and running AI models, along with maintaining data centres, require large amounts of energy, and that training models is a huge contributor to carbon emissions, it remains vague about the actual energy consumption and doesn't not provide granular data or dive into specifics.

As Trump moves to unleash more gas and coal, even some of the greenest companies are taking advantage in their pursuit of power to fuel AI and factories.

While you don't need a climatologist to see the direction agriculture is heading, there are still ways to stay ahead of the climate crisis curve.

A spike in demand for electricity from tech companies competing in the artificial intelligence race is upending forecasts for natural gas-fired power in the U.S., as utilities reconsider it as a major new power source.

On the energy and climate side, it's understandable that many would assume that this will mean we'll use less energy. But this is a mistake. Cheaper, more efficient, more accessible AI will exponentially increase the use cases for AI, thereby also increasing demand for its inputs.

From space, scientists can track everything from sea levels or greenhouse gases to infectious bacteria or water stored underground.

Climate change endangers workers across industries. Businesses must invest in resilient infrastructure, climate safety standards, and employee well-being to protect their workforce.