AI's growing environmental and economic costs deserve greater public attention
An opinion piece highlights the significant environmental and economic costs of AI due to the massive electricity and water demands of industrial-scale data centers. Examples from northwestern Utah and Reno, Nevada, illustrate these strains, including power redirection and depletion of water resources in the arid Southwest. The author questions the rapid development without addressing these critical issues.
The Durango Herald published an opinion piece by Scott Perez, who lives in the Animas River Valley, highlighting the growing environmental and economic costs associated with the rapid expansion of Artificial Intelligence (AI) and its supporting data centers. Perez argues that despite AI's pervasiveness, public attention often overlooks the substantial resource demands these technologies place on the environment.
Perez details that the industrial-scale data centers required for AI consume enormous amounts of electricity and water. He cites the approval of a data center in northwestern Utah, projected to cover over 40,000 acres and require more than double the entire state's current electrical power, necessitating a new natural-gas generating system. Additionally, he mentions that in Nevada, a power company is redirecting electricity from existing communities, including the Lake Tahoe area, to new data centers near Reno, leading to concerns about rising energy costs for all.
The author emphasizes the critical water demands of these facilities, noting that even medium-sized centers can use 110 million gallons annually, while larger ones may consume up to 5 million gallons daily, comparable to a town of 20,000 to 50,000 people. He warns that drawing from surface and groundwater sources could severely deplete potable water supplies, a particularly urgent issue in the arid Southwest due to long-term drought conditions.
Perez concludes by questioning the unbridled pace of AI development without adequate solutions for these known environmental impacts, suggesting that a competitive "race" mindset prevents cooperative efforts to address global challenges.