The discussion surrounding the environmental impact of artificial intelligence (AI) emphasizes the need to view it as a systemic issue rather than merely a collection of individual behaviors. It is suggested that major technology companies integrating AI into their products should disclose their overall energy and water consumption, along with detailed methodologies for calculating these figures. While estimating the energy cost per AI query is a useful beginning, there is a call for transparency in how these aggregate impacts evolve over time, especially as companies strive for greater efficiency in their offerings. Legislative measures mandating such disclosures have been proposed, alongside a public demand for accountability.
While the collective impact of AI use is a primary concern, individual actions can also contribute. Similar to how minimizing personal greenhouse gas emissions can be achieved through lifestyle choices, there are ways individuals can reduce their own AI-related energy consumption. For example, generating videos or using complex reasoning models can be particularly resource-intensive. In contrast, simpler queries, like requesting assistance with daily planning or summarizing emails, tend to have a lower environmental impact.
The article highlights that while individuals might not need to be overly concerned about their personal AI footprint—provided they use these technologies responsibly—the broader implications of AI on energy grids, society, and environmental sustainability warrant attention. Understanding the industry’s overall effects is essential for anticipating future challenges and opportunities in this rapidly evolving landscape.
Source: https://www.technologyreview.com/2025/11/06/1127579/ai-footprint/