Interesting
  • William
  • Blog
  • 5 minutes to read

Just How Much Energy Does Generating An AI Image Actually Use?

Image generation with the use of artificial intelligence has become commonplace online, with plenty of buzz surrounding the matter. Folks have debated the ethics of such technology and how it goes about forming images, while others have come up with ways to tell if an image is AI generated or the real deal. Unfortunately, something that is often overlooked in the grand scheme of things is the amount of energy behind even the top AI image generators available in 2024. Though it may seem to be magic, it’s certainly not, and it takes a decent measure of power to conjure up AI pictures.

A study from tech company Hugging Face and Carnegie Mellon University sought to answer the question of just how much energy is needed to make AI images a viewable reality. Their findings show that a single image generation can consume as much as half of a smartphone’s battery charge, approximately 0.011 kilowatt hours of energy. They note that this isn’t necessarily a concrete number, as there are variables with AI image generation such as the model used and the image size that can cause the amount of energy necessary to fluctuate. That may not seem like much, but as some estimates put the number of AI images generated per day at around 34 million, it adds up.

Naturally, the significance of the energy needed for AI image generation hasn’t gone unnoticed on an environmental or political level.

AI image generation takes an environmental toll

Energy consumption has been a hot topic in the media of late, with AI image generation only being the latest trend to go under the microscope. For instance, the sizable energy consumption that has fueled the sad evolution of cryptocurrency — in the neighborhood of 0.6% to 2.3% of the United States’ total annual electricity use – has made frequent headlines. In a similar vein, the environmental impact of such energy-heavy practices has also become a major topic of discussion. What many may not know is that in addition to using electricity to generate images, AI models require a considerable amount of water to operate properly too.

According to the University of California, approximately half a liter of fresh water is needed to conduct between 20 and 50 typical AI chatbot queries, on average. This water is needed to keep servers cool, allowing models to run as efficiently as possible. Concerningly, only a fraction of operators have been forthcoming with their water use data. With only so much water and electricity to go around, naturally, AI companies are looking into alternative energy sources to keep the models running. One proposed solution is nuclear fusion, which can generate tons of power and lacks the pollution and waste of other, more traditional energy-creation methods. This may seem great, but the tech needed to create fusion isn’t perfect yet, and there’s likely decades to go until it’s ready for widespread use. Thus, increasingly scarce resources will continue to be used in the meantime.

Political action taken regarding AI’s environmental footprint

With the increasing prevalence of AI tech, the scale of the electricity use, and fresh water being in incredibly high demand, several politicians have taken action regarding AI’s environmental impact. United States senators led by Massachusetts’ Edward Markey have brought forth legislation to reveal the full extent of AI’s energy footprint. If the act is passed, the law will be enforced through the National Institute of Standards and Technology, which will set standards for AI models, including reporting, to address environmental concerns over excessive electricity and water use. As of the time of writing, it has yet to be moved through the Senate, let alone reach the House of Representatives or make it to the President’s desk.

The issue has become a global concern, and in a report from The Guardian, it was explained that in February 2025, a multi-country AI summit will be held in France, with a key point of discussion being AI companies’ ecological impact. An idea being considered is to have companies rated based on their environmental impression. Google and Microsoft in particular have publicly highlighted that the level of consumption that comes with their respective AI models puts emission reduction targets at risk.


Source: http://www.slashgear.com/1696332/ai-image-generation-how-much-energy-used/

Inline Feedbacks
View all comments
guest

Google’s Gemini AI Super Bowl Ad Tries To Humanize AI (And It’s Creeping Us Out)

The Super Bowl 59 ad fest had a clear trend that no sports fan would have predicted. It...

4 Raspberry Pi Projects For Bicycle Riders

Raspberry Pi is a versatile device that could have a home in virtually every industry and hobby, and...

How Do ‘AI Productivity’ Apps Like Beloga Actually Work?

While general purpose chatbots like OpenAI's ChatGPT are the focus of initial AI consumer hype, AI products with...

Machine Learning Transparency: Making AI Understandable for Business Success

The proliferation of machine learning systems across industries has created an unprecedented challenge for business leaders: how to...

6 Things You Can Do With The New Raspberry Pi AI Kit

Raspberry Pi has just released an AI Kit which is designed to work with the Raspberry Pi 5....

Is Google’s New AI Listening To Your Phone Calls?

Google would like you to believe that it only wants to keep you safe by offering a new...

6 Of The Worst Mistakes Google’s New AI Overview Has Made So Far

In May 2024, Google held its latest Google I/O conference, which opened with a keynote speech that focused...

The History Of AI: How Machine Learning’s Evolution Is Reshaping Everything Around Us

For a long time, artificial intelligence was a futuristic concept. But thankfully, the future is finally here. AI...

The Controversy Of Virtual Influencers And How They’re Taking Over Social Media

AI has made it dramatically easier to make artificial "personalities" within a matter of minutes. A few natural...

What Is Agentic AI & How Might It Change How The World Works In The Future?

If films and TV have taught us anything, it's that the future ought to be full of autonomous,...

I Tried Gemini For My Email. Here’s Why I Don’t Trust It

Over the course of the past three months, I have experimented with three AI stacks, each priced at...

AI-Generated Images Are About To Invade Your iPhone, iPad, And Mac

Apple recently announced a lot of new AI-powered software features that will soon be integrated into the iOS18...

Saying These Simple Words To ChatGPT Is Costing OpenAI Millions Of Dollars

Growing up, we were all taught to be polite, but when you're one of the world's foremost AI...

4 Free AI Tools Designed For Students

When AI was introduced to the public through chatbots in 2023, it didn't take long for developers to...

Do AI Humanizers Actually Work? We Tested Them And This Is What We Found

First, we had ChatGPT and other Generative Pre-Trained Transformers, which created AI-generated text. Next, we had AI Detectors,...

AI Resurrected & Revived A Lost Beatles Song – Then It Won A Grammy

Just over a week ago, former Beatle Paul McCartney asked the British government to strengthen its copyright laws involving...

AI Governance in the Age of Uncertainty: Building Regulatory Frameworks for Unknown Futures

The emergence of artificial intelligence as a transformative force in human society has created an unprecedented regulatory paradox....

How Close Are We To AI Superintelligence? The 3 Types Of AI, Explained

We may receive a commission on purchases made from links. OpenAI's Sam Altman said in a blog post...

Is The RTX 4090 Still Good For Gaming In 2024?

Every PC gamer knows that your games are only as good as your graphics card. Whether you're trying...

Is ChatGPT Safe? What You Should Know Before You Start Using AI Chatbots

In November 2022, the tech world was upended as OpenAI released ChatGPT, an AI chatbot with capabilities that...