Here’s all the ways that data center controversies have transformed the midterm elections
HARRISBURG, Pa. (AP) — The snowballing opposition to data centers in communities across the United States has transformed the midterm election landscape , thrown a wrench into the plans of the world’s richest companies and brought perhaps the…
The controversy surrounding the construction of data centers across the United States has significantly impacted the midterm elections, altering the political landscape and challenging the plans of major tech companies. This shift occurred after the launch of OpenAI's ChatGPT in late 2022, which sparked a surge in demand for generative AI products that require substantial computing power to develop and run.
As a result, leading companies like Oracle, Meta, Google, Amazon, and Microsoft are planning to invest over $700 billion in U.S. data centers this year alone.
The expansion of data centers into rural America has brought together a diverse group of stakeholders, including conservative ranching and farming communities and environmental advocacy groups. These two factions share concerns over the environmental impact of these massive computing warehouses, particularly in regions facing water scarcity and pollution risks.
In New Mexico, where Oracle and OpenAI are developing a $165 billion data center complex near the Mexican border, known as Project Jupiter, there are growing worries about dwindling water supplies.
Samantha Barncastle Salopek, a Republican candidate for a seat on the Doña Ana County commission and a native pecan farmer, is at the forefront of the environmental concerns. She argues that the state approved water drilling permits for Project Jupiter without following proper public-notification procedures mandated by state law. This situation highlights the complex interplay between economic growth and environmental protection, as well as the growing political significance of data centers in the 2022 midterm elections.
Written by urgent.news from Associated Press's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
