AI, or Artificial Intelligence, refers to computer programs that can mimic human intelligence and reasoning, allowing them to “think independently” as a human would. The real-world applications of AI have increased substantially in the last 20 years as technology becomes
progressively more complex. AI excels at detecting patterns and trends in data, which is very
beneficial for analyzing different types of information for varying fields.

Researchers and environmentalists have identified several major environmental concerns with AI. AI server centers use billions of tons of water per day. The computers that run AI servers generate lots of heat, and to cool these servers, fresh water is pumped through tubes running around the service centers. Unsustainable use of this water can lead to large amounts of waste. Globally, AI-related infrastructures are estimated by the UN Environmental Programme to use 6 times the amount of water as the whole country of Denmark.

Secondly, server centers use huge amounts of electricity in the form of running computer
programming units. The International Energy Agency estimates that by 2026, nearly 35% of
Ireland’s (a major technology hub) energy could be consumed by data centers. AI has also
prompted major development. AI data centers have more than tripled in the last 20 years,
requiring new space and materials, resulting in deforestation and the loss of wild spaces.
Lastly, these new data centers need new computers, which increases the demand for rare raw
materials (such as mercury and lead) to build motherboards and computers. These can be
costly to mine for and recycle.

AI can certainly be a great tool for scholars and the public alike; however, it must be used
responsibly as we work to solve the current environmental concerns. Keep in mind the
environmental costs of AI as you use it in your daily life, and when it might not be necessary to
use AI, think about switching to a less environmentally costly option, such as a simple internet
search.

By Mia Moore