Tech Industry has a Water Problem The tech industry's hunger for data

Tech Industry has a Water Problem

The tech industry's hunger for data is no insider secret, but its thirst for water is a less-discussed issue. The trillions of queries processed every few months require vast server farms, which consume enormous amounts of energy, and significantly. They also consume water, lots of it. . Sure, ChatGPT queries streamline our work, but the water usage can mount quickly. One ChatGPT query uses approximately 3.56 liters of water, though one might think it's more expensive than that. . On the surface, this puts into perspective. Scientists estimate that each liter of water is worth $20 for drinking water, which is more expensive than electricity. Imagine the water bill chomp up $71 per query.

The Agricultural Water Footprint

To put the tech industry's water consumption into context, let's look at agriculture, where water scarcity issues are often discussed. In California, the water footprint of crops varies widely. For example, an almond produced in California requires just 0,32 milliliters. This stark comparison highlights the water efficiency of agriculture compared to tech. In California, almonds grow in expansive groves under the sun, as water moves through irrigation canals. Yet many consider almonds the environmental bad guys.. The water footprint of an almond is a heavy load for California. The water footprint of almonds is quickly replaced by the water footprint of Artificial Intelligence, even though almonds are much more readily available. But the truth is, almonds need sunlight and a natural water cycle which is completely different from the water needed for server farms. The water used for data centers is all direct use.

The Water Footprint of AI

The water footprint of AI is even more complicated. While one query requires 3.56 liters of water, the cumulative water usage of billions of queries can still add up. The Trump Administration had the first data center climate group after realizing the footprint of AI. AI has the potential to make more calculations. The controversial part is the AI has a technology that needs more energy, even though humans need more resources. The AI can't come off from resources like water. One of the factors many don't understand is that data centers are built in areas where water can be abundant, which are typically hot climates. Instead of air conditioning to cool down the center, companies need a cooling tank for their computers. This is where the water consumption is exacerbated. Attrition rates are going out of control, thus the water cycle of water is not usable for humans. Data centers cannot live without the water cycle which is a contradiction to its footprint.

Alternative Options

So where can we go from here? Well, a relocation of data centers. Data centers are most of the time built in urban areas. Panels of solar energy can be used, and water can be reclaimed.