Tag Archives: AI and water to cool data centers

The Trillionaires Club and the Tijuana River Sewage

Since 2018, more than 100 billion gallons of raw sewage filled with industrial chemicals and trash have poured into the Tijuana River, according to the International Boundary and Water Commission (IBWC).

On what the United States EPA is doing about this, see EPA.gov.

On the international agreement between United States and Mexico addressing the issue, see IBWC

In the meantime, the Trillionaires Club is cruising…On the lawsuit, see NAACP.

How the US government is trying to stop it.

AI Eats Up Crazy Amounts of Electricity

Global demand for AI is ramping up rapidly. Electricity demand from data centers worldwide is set to more than double by 2030 to about 945 terawatt-hours, which is more than Japan’s total electricity consumption, according to the International Energy Agency. “A single AI-focused data center can use as much electricity as a small city and as much water as a large neighborhood,” according to the Union of Concerned Scientists….A data center that fuels AI can consume as much electricity as 100,000 households, but the largest ones that haven’t been completed yet could consume 20 times as much. It’s a particular problem in the U.S., with data centers making up nearly half of its electricity demand growth over the next five years, according to the IEA.

There’s also been heightened concern recently about the amount of water that is required to cool electrical equipment in data centers. Just a few weeks ago, French company Mistral AI released a report detailing the environmental footprint of training its language model Mistral Large 2, including the amount of water it consumes. The water consumption from generating one page of text is 0.05 liter, enough to grow a small radish, the report says…

Excerpt from Clara Hudson, Google Wants You to Know the Environmental Cost of Quizzing Its AI. WSJ, Aug. 21, 2025