Erin Brockovich launched a public map to track concerns about AI data centers across the United States.

The response was huge. In the first 72 hours after launch, the map crashed twice because so many people tried to use it.

The map lets residents report concerns about data centers that are already operating, under construction, or still being proposed.

People can also raise issues tied to water use, electricity demand, noise, local environmental impacts, and wider community concerns.

The rapid surge in reports suggests this is not just a local issue. It points to a growing national debate over how fast AI infrastructure is expanding and whether communities are being given enough information before these large facilities are built.

Research on data centers has found that these facilities can place major pressure on power grids and water supplies, especially in regions already dealing with drought or high electricity demand.

As AI use grows, more data centers will be needed to support it. The key question is whether that growth can happen with more transparency, stronger local input, and better planning for water, energy, and environmental impacts.

US finalizes voluntary AI safety tests after OpenAI and Anthropic breaches
OpenAI CEO Sam Altman visited the White House last week to discuss the voluntary tests and his company’s upcoming AI models
https://www.independent.co.uk/tech/us-ai-safety-tests-anthropic-openai-hacks-b3026673.html?fbclid=IwdGRjcATd_Z9jbGNrBN39jXBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEetswfDT2C2VeywYbTNi5oEp09tuwbIbOysm1DctP6s0adqe9KVUSVwX4W7fI_aem_Hx-m4NqZLp7LeneWdYEvEA

The Trump administration has finalized voluntary cybersecurity tests designed to measure the hacking capabilities of the most advanced U.S. artificial intelligence models, a White House official said Monday.

The development follows recent disclosures from AI developers Anthropic and OpenAI, whose tools breached other companies’ systems.

While the initiative is moving forward, the White House official did not immediately provide specifics on how results will be reported or the metrics the U.S. government plans to use.

US finalizes voluntary AI safety tests after OpenAI and Anthropic breaches
OpenAI CEO Sam Altman visited the White House last week to discuss the voluntary tests and his company’s upcoming AI models
https://www.independent.co.uk/tech/us-ai-safety-tests-anthropic-openai-hacks-b3026673.html?fbclid=IwdGRjcATd_Z9jbGNrBN39jXBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEetswfDT2C2VeywYbTNi5oEp09tuwbIbOysm1DctP6s0adqe9KVUSVwX4W7fI_aem_Hx-m4NqZLp7LeneWdYEvEA

The Trump administration has finalized voluntary cybersecurity tests designed to measure the hacking capabilities of the most advanced U.S. artificial intelligence models, a White House official said Monday.

The development follows recent disclosures from AI developers Anthropic and OpenAI, whose tools breached other companies’ systems.

While the initiative is moving forward, the White House official did not immediately provide specifics on how results will be reported or the metrics the U.S. government plans to use.

Communities and governments around the world are increasingly opposing new AI data centers over concerns about electricity use, water consumption, noise, and environmental impact as AI continues to grow.

In the United States, New York became the first state to approve a one-year moratorium on new AI data centers using 50 megawatts (MW) or more of electricity while officials study their environmental impact. In California, the city of Monterey Park has permanently banned new data centers after residents raised concerns about noise and power demand.

In Australia, a proposed A$2.9–3.5 billion AI data center in Sydney received 593 public objections and only three letters of support, with residents raising concerns about energy use, noise, traffic, and the loss of green space.

Across Europe, Amsterdam has restricted new hyperscale data centers, Denmark is considering limits on power grid connections, and Ireland has introduced stricter rules because data centers use a growing share of the country’s electricity.

According to United Nations University, AI data centers could double their electricity and water consumption by 2030 if current growth continues.

Despite the growing opposition, companies including Microsoft, Google, Amazon, Meta, xAI, and OpenAI continue investing billions of dollars in new AI data centers to meet the rising demand for artificial intelligence.

AI music generator platform Suno has lost a copyright infringement case.

The landmark ruling was made in favour of German performance rights organisation GEMA by the Munich Regional Court in on Friday, July 31, finding that Suno was not entitled to use music represented by GEMA to train its AI models.

The court ruled that the AI platform is in breach of both the German and US copyright law, and that it had used, stored and reproduced copyrighted material without licence.

The National View: False
​On a macro national scale, data centers are not “drying up America”.

​Total Share: All direct water consumed by U.S. data centers combined accounts for less than 1% (roughly 0.14% to 0.5%) of total U.S. daily freshwater withdrawals.
​The Big Consumers: By comparison, irrigated agriculture consumes over 75% to 80% of diverted water in the American West, and residential lawn watering alone consumes over 10 times more water annually than all U.S. data centers combined.

The Local View: Very Real Crisis in Specific Hubs
​While the national numbers sound small, data centers are concentrated in specialized “clusters” rather than spread evenly across the country. In these locations, the “soda straw effect”—drawing massive volumes from a single aquifer or municipal grid—causes genuine localized water crises.

Examples of Regional Friction:
​The Dalles, Oregon: Google’s data center campus consumed over 25% of the city’s entire municipal water supply in 2021.
​Northern Virginia (“Data Center Alley”): Facilities across four counties consumed close to 2 billion gallons of water in 2023, placing heavy demand on regional river basins.
​The Desert Southwest & Texas: In drought-prone states like Arizona and Texas, building evaporative-cooled facilities has forced local boards to enact emergency moratoriums to preserve groundwater reserves.

Summary
​Calling it a national drought driver is an exaggeration, but saying it is “drying up specific communities” is accurate.
​The problem isn’t that America as a continent is running out of water because of AI, but that technology companies have historically built water-hungry evaporative facilities in water-stressed regions without compensating the local watershed.

The National View: False
​On a macro national scale, data centers are not “drying up America”.

​Total Share: All direct water consumed by U.S. data centers combined accounts for less than 1% (roughly 0.14% to 0.5%) of total U.S. daily freshwater withdrawals.
​The Big Consumers: By comparison, irrigated agriculture consumes over 75% to 80% of diverted water in the American West, and residential lawn watering alone consumes over 10 times more water annually than all U.S. data centers combined.

The Local View: Very Real Crisis in Specific Hubs
​While the national numbers sound small, data centers are concentrated in specialized “clusters” rather than spread evenly across the country. In these locations, the “soda straw effect”—drawing massive volumes from a single aquifer or municipal grid—causes genuine localized water crises.

Examples of Regional Friction:
​The Dalles, Oregon: Google’s data center campus consumed over 25% of the city’s entire municipal water supply in 2021.
​Northern Virginia (“Data Center Alley”): Facilities across four counties consumed close to 2 billion gallons of water in 2023, placing heavy demand on regional river basins.
​The Desert Southwest & Texas: In drought-prone states like Arizona and Texas, building evaporative-cooled facilities has forced local boards to enact emergency moratoriums to preserve groundwater reserves.

Summary
​Calling it a national drought driver is an exaggeration, but saying it is “drying up specific communities” is accurate.
​The problem isn’t that America as a continent is running out of water because of AI, but that technology companies have historically built water-hungry evaporative facilities in water-stressed regions without compensating the local watershed.

An old trick has gained new life – finding AI users trying to cheat their way through college exams.