Experts Explore Sustainable AI Practices to Combat Environmental Downfalls
News ClipThe Austin Chronicle·TX·3/12/2026
This story discusses the environmental impacts of the growing data center industry in Texas, particularly the strain on electricity and water resources. It features experts discussing the high energy and water demands of AI and data centers, as well as companies like Gradiant that are working on solutions to recycle and treat water used in these facilities. Overall, the story highlights the significant environmental challenges posed by the rapid growth of data centers in Texas, which account for 15% of the nation's total energy use, and could consume up to 160 billion gallons of water by 2030.
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Texas is a booming hub for data centers powering AI, accounting for 15% of the nation's energy use. However, the growing industry raises concerns about environmental impacts like air pollution, water consumption, and grid stress.
MIT scientist Vijay Gadepally and water entrepreneur Anurag Bajpayee discussed these challenges at SXSW. A single ChatGPT prompt uses 10 times the power of a Google search, and one AI server uses enough energy to power several homes. Data centers also consume billions of gallons of water annually.
While AI is part of the problem, experts believe it can also provide solutions. Legislation like Senate Bill 6 aims to increase energy transparency and resilience. Companies like Gradiant are implementing water recycling and treatment strategies to mitigate the industry's environmental footprint. Researchers are also using AI to track climate data and influence policy. Experts call for more sustainable AI practices and flexibility to balance the equation.