AI is an energy and water hog, here's what you can do to counter that

A recent article published in The Star on June 27, 2026, sheds light on the escalating environmental concerns directly linked to the burgeoning field of artificial intelligence, particularly generative AI. The report emphasizes that the computational intensity required to train and run advanced AI models is leading to a substantial increase in both energy and water consumption globally. Experts cited in the article point out that the environmental impact extends even to everyday online interactions. Each query processed by AI-powered search engines or applications contributes to this growing footprint, making the issue more pervasive than many users realize. This is exacerbated by what some describe as a "bait-and-switch" tactic by major technology companies, where generative AI capabilities are integrated into existing tools and services. Users, accustomed to these tools, may not be aware that their routine digital activities are now consuming significantly more resources due to the underlying AI. The article underscores the critical need for a more sustainable approach to AI development and deployment. While the benefits of AI are widely touted, its environmental cost, particularly in terms of energy and water, is becoming an unavoidable topic of discussion. The sheer scale of AI's demand for resources is prompting calls for greater transparency from tech giants regarding the consumption associated with their AI services. To address this pressing issue, experts propose several measures. One direct recommendation for individuals is to consciously reduce their reliance on AI-powered tools where possible. Beyond individual actions, there's an implicit call for the AI industry to innovate in developing more energy-efficient AI architectures and to prioritize sustainable practices throughout the AI lifecycle. The article highlights the urgency of tackling these environmental challenges to help curb human-caused climate change and prevent future water scarcity, linking the advancements in the digital realm directly to tangible ecological consequences.