Google AI's Energy Consumption Equivalent to Charging 7 Electric Cars in One Second

https://icaro.icaromediagroup.com/system/images/photos/16269227/original/open-uri20240624-56-srat4t?1719269968
ICARO Media Group
News
24/06/2024 22h45

In a startling revelation, it has been found that Google's AI-generated search results consume a significant amount of electricity. According to research firm Digiconomist, these AI search results require approximately ten times the energy to power them as a traditional Google search. Surprisingly, incorporating AI-generated answers into all Google searches could potentially approach the energy usage of the entire country of Ireland.

Digiconomist's research highlights that each AI-generated search consumes three watt-hours of electricity, which may not seem like much initially. To put it into perspective, this amount is about the same as the electricity consumed by an LED lightbulb left on for an hour in an average household.

However, the problem arises when considering the sheer volume of Google searches conducted each day. Data from Statista reveals that in 2023, Google averaged a staggering 8.5 billion searches per day, equivalent to 98,379 searches per second. With each AI-generated search requiring 3 watt-hours of electricity, this amounts to a usage rate of 295,138.88 watt-hours, or 295.14 kilowatt-hours, in just one second.

To put this in context, the average electric vehicle sold in 2023 had a 40 kilowatt-hour battery onboard, meaning that the electricity consumed by AI search in a single second could have been utilized to power approximately 7.5 average electric cars.

Going further, the numbers become even more astounding. This energy usage accounts for a staggering 442.7 electric vehicle charges per minute, 26,562.5 charges per hour, or a whopping 637,500 charges per day.

It is crucial to note that these calculations solely pertain to Google's electricity consumption related to AI-generated search results. The energy-intensive nature of artificial intelligence and large language models has been employed in various tasks throughout the decade.

While the figures may seem alarming, it is important for individuals to continue taking steps to reduce their own energy consumption. This includes practices such as reducing air conditioning usage, opting for biking or walking instead of driving, and investing in energy-efficient appliances. By doing so, energy resources can be conserved, potentially reducing the demand placed on Google's search robots.

The implications of Google's AI energy consumption call for further exploration and highlight the need for sustainable energy solutions in the digital era.

The views expressed in this article do not reflect the opinion of ICARO, or any of its affiliates.

Related