A new analysis finds that the rapid expansion of artificial intelligence and data centers will drive a significant rise in U.S. electricity demand, potentially increasing power‑plant carbon emissions by up to 29 percent over the next decade. The study highlights that restoring wind and solar tax credits could cut emissions by more than 30 percent and lower wholesale electricity costs. It also notes that without stronger policies, the surge in data‑center power use could exacerbate climate impacts and raise costs for consumers. The report calls for robust guardrails on data‑center growth and accelerated renewable investment to balance the AI boom with climate goals. Leia mais →

A new analysis published in Nature Communications examines the environmental footprint of the rapid AI‑driven data‑center expansion in the United States. While tech giants pour billions into new facilities, the study finds that location dramatically influences carbon and water impacts. States such as Texas, Montana, Nebraska and South Dakota emerge as optimal sites because they balance lower water scarcity with cleaner electricity grids. In contrast, traditional hubs like Virginia and California face growing pressure on energy and water resources, raising doubts about the feasibility of industry net‑zero pledges. Leia mais →

A recent analysis shows that artificial intelligence consumes a modest portion of worldwide electricity, water and CO₂ emissions compared with other technologies. While AI prompts represent a tiny fraction of individual energy use, the rapid growth of data‑center demand means AI will claim a larger slice of the overall mix, especially as it drives new infrastructure. The article compares AI’s resource use to Wi‑Fi, streaming video, enterprise cloud services and emerging electric‑vehicle charging, highlighting both the relative insignificance and the potential for concentrated local impacts. Leia mais →

Google has released official figures for the median energy consumption of a Gemini text prompt, estimating it at 0.24 Wh per prompt. The report compares this figure to common household activities, showing that a single AI prompt uses far less power than streaming video, charging a smartphone, or running a TV. While the per‑prompt impact is small—accounting for a fraction of a user's daily electricity use—the article notes that billions of prompts could add up at scale. Water usage and carbon emissions are also quantified, highlighting the broader environmental considerations of AI workloads. Leia mais →

Google reports that the energy required for a typical Gemini Apps text prompt has fallen dramatically, now using about 0.24 watt‑hours, emitting 0.03 g CO₂e and consuming 0.26 ml of water—roughly the energy of nine seconds of TV. The company attributes a 33‑times reduction in per‑prompt energy to software advances such as Mixture‑of‑Experts, compact model versions, and smarter data‑center management, while renewable power and a 1.4‑times drop in carbon intensity of electricity also help. The cumulative impact remains significant given the massive query volume, but the trend points toward a greener AI future. Leia mais →