data center

Most of the well-known largest technology companies have established ambitious clean energy goals. They are on record for achieving net-zero emissions for all their operations and supply chains in many cases by 2030. As a result, they have been investing heavily in renewable energy in various ways. Despite these lofty goals and sincere efforts, many of them are struggling to reduce emissions. The reason is simple: big data.

A good example is Google, which started investing in renewable energy in 2010 and since 2017 has been purchasing renewable energy on an annual basis to match the electricity consumption of its global operations. However, Google’s greenhouse gas emissions have increased nearly 48% since 2019. This is primarily a result of data center energy consumption.

The expanding use of artificial intelligence technology is consuming large amounts of electricity. For example, a single ChatGPT query uses nearly 10 times as much electrical energy as a traditional Google search.

Google is by no means unique in having this problem. Microsoft’s carbon emissions have risen by nearly 30% since 2020. Amazon is struggling to reach net-zero across its operations by 2040.

All of these companies are entering into large power agreements with renewable energy companies all across the country. The AI arms race for more and more computational power is driving a race to install more and more large-scale renewable energy. Power purchase agreements for solar power, wind power, and even geothermal power are becoming a major activity for most of the largest tech companies.

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Can Google gobble up enough renewables?

Photo, posted February 12, 2023, courtesy of Geoff Henson via Flickr.

Earth Wise is a production of WAMC Northeast Public Radio

Artificial intelligence is everywhere these days. Some say it is the biggest development since the discovery of fire. There is a lot of hype regarding AI, and it will be a while before the hype is sorted out from the reality. But one thing that is certain is that AI is resource-intensive and has a large environmental footprint.

AI use directly produces carbon emissions from its consumption of non-renewable electricity and is also responsible for the consumption of billions of gallons of fresh water.

Various forms of AI run on many types of devices, but the kind of AI we hear about the most – such as ChatGPT – requires specialized computer equipment that runs in large cloud data centers. There are roughly 10,000 such centers worldwide and more are under construction. Estimates are that electricity consumption from data centers will double between 2022 and 2026 to a total of 1,000 terawatts, roughly as much electricity as all of Japan uses.

These estimates include all data center activities, not just AI. Most operators of data centers don’t reveal what percentage of their energy use comes from AI. One exception is Google, which says machine learning accounts for about 15% of its data center energy use.

Data centers also consume a great deal of water to cool delicate electronics. In 2022, Google’s data centers consumed about 5 billion gallons of fresh water.

AI has the potential to improve the efficiency of systems, improve climate models, and perhaps help develop new ways to help reduce humanity’s environmental footprint. But at the moment, it represents an increasing burden on the environment that cannot just be ignored.

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As Use of A.I. Soars, So Does the Energy and Water It Requires

Photo, posted January 23, 2023, courtesy of Aileen Devlin / Jefferson Lab via Flickr.

Earth Wise is a production of WAMC Northeast Public Radio