Big Tech AI race environmental cost: carbon emissions, energy, and water usage explained

The Hindu article breaks down how the rapid expansion of AI data centers by Big Tech companies is driving up carbon emissions, energy consumption, and water usage. It explains that training and running large AI models requires massive amounts of electricity, often from fossil fuels, and significant water for cooling. This creates a tension between AI growth and climate goals. The piece highlights that while tech firms have made renewable energy pledges, the sheer scale of new data centers is straining grids and may increase reliance on natural gas. It also notes the lack of transparency in reporting actual energy and water footprints. For anyone tracking the real-world carbon impact of digital infrastructure, this article provides a clear overview of the trade-offs involved.