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archive.is link to article from allabout.ai at https://www.allaboutai.com/resources/ai-statistics/ai-environment/

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[-] lime@feddit.nu 109 points 1 week ago* (last edited 1 week ago)

idk if that's the intended takeaway from those numbers.

According to AllAboutAI analysis, global AI processing generates over 260,930 kilograms of CO₂ monthly from ChatGPT alone, equivalent to 260 transatlantic flights, with 1 billion daily queries consuming 300 MWh of electricity.

according to the faa there are on average 5500 planes in the air every day, and while i couldn't find an exact number there seem to be between 350 and 1 200 transatlantic flights every day, depending on season.

260 tons is still massive, but let's not kid ourselves. it's about equivalent to producing 12 new american-size cars.

[-] Artisian@lemmy.world 34 points 1 week ago

Thank you.

Idk if LLMs can tell which number is bigger. But we already knew humans can't.

[-] otp@sh.itjust.works 32 points 1 week ago

Just goes to show that you don't even need AI to spread misinformation! Haha

[-] leftthegroup@lemmings.world 22 points 1 week ago

Yes, but there's zero fucking actual benefit.

Seeing memes posted here that use AI while sitting on it is the most confusing thing to me.

Just... don't use it, people. The hole burning in AI bros' pockets will close up if you just stop making it profitable. Even the free ones are making money with ads. Don't use it, even for a joke.

[-] SkyeStarfall 15 points 1 week ago

Frankly focusing on the carbon output of AI models is a red herring. It's not a significant part of the problem and just makes people complacent in the form of feeling like we've achieved something if it succeeds. It's not worse than stuff like video games

Focus on the actual negative effects of AI, but carbon intensity isn't a major one

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[-] lime@feddit.nu 8 points 1 week ago

we do a lot of things for no benefit. video games, golf, horse racing, grilling... all those have far larger carbon footprints. as someone else said, focus on the actual negatives of generative ai, like the proven cognitive decline and loneliness.

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[-] very_well_lost@lemmy.world 5 points 1 week ago

260,930 kilograms of CO₂ monthly from ChatGPT alone

ChatGPT has the most marketing, but it's only part of the AI ecosystem... and honestly, I wouldn't be surprised if other AI products are bigger now. Practically every time someone does a Google search, Gemini AI spits out a summary whether you wanted it or not — and Google processes more than 8 billion search queries per day. That's a lot of slop.

There are also more bespoke tools that are being pushed aggressively in enterprise. Microsoft's Copilot is used extensively in tech for code generation and code reviews. Ditto for Claude Code. And believe me, tech companies are pushing this shit hard. I write code for a living, and the company I work for is so bullish on AI that they've mandated that us devs have to use it every day if we want to stay employed. They're even tracking our usage to make sure we comply... and I know I'm not alone in my experience.

All of that combined probably still doesn't reach the same level of CO² emissions as global air travel, but there are a lot more fish in this proverbial pond than just OpenAI, and when you add them all up, the numbers get big. AI usage is also rising much, much faster than air travel, so it's really only a matter of time before it does cross that threshold.

[-] lime@feddit.nu 5 points 1 week ago

they list the others in the article.

[-] Semi_Hemi_Demigod@lemmy.world 59 points 1 week ago

Which is why I threw up in my mouth a little when my boss said we all need to be more bullish on AI this morning.

[-] BrianTheeBiscuiteer@lemmy.world 34 points 1 week ago

Same. And they basically jizz their pants when they see a practical use for AI, but 9 out of 10 times there's already a cheaper and more reliable solution they won't even entertain.

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[-] Reygle@lemmy.world 34 points 1 week ago

My boss is also a fuckwit

[-] GhostlyPixel@lemmy.world 9 points 1 week ago* (last edited 1 week ago)

I’ve mentioned it before but my boss’s boss said only 86% of employees in his department use AI daily and it’s one of his annual goals to get that to 100%. He is obsessed.

[-] ramble81@lemmy.zip 10 points 1 week ago

They’re salivating at the chance to reduce head count and still make money. Employees are by far the largest cost for any company. They hate paying it out when it could be for them.

[-] HugeNerd@lemmy.ca 6 points 1 week ago

Replace your boss with it.

[-] SpaceNoodle@lemmy.world 5 points 1 week ago

You should correct their spelling of "bullshit"

[-] ayyy@sh.itjust.works 43 points 1 week ago

Your article doesn’t even claim that. Do you have any idea just how carbon intensive a flight is?

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[-] vala@lemmy.dbzer0.com 25 points 1 week ago

It's so important to differentiate between commercial LLMs and AI as a general concept.

[-] AndiHutch@lemmy.zip 16 points 1 week ago

It also pollutes the mind of ignorant people with misinformation. Not that that is anything new. But I do think objective truth is very important in a democratic society. It reminds me of that video that used to go around that showed Sinclair Broadcasting in like 20 some different 'local' broadcast news all repeating the same words verbatim. It ended with 'This is extremely dangerous to our democracy'. With AI being added to all the search engines, it is really easy to look something and unknowingly get bombarded with false info pulled out of the dregs of internet. 90% of people don't verify the answer to see if it is based in reality.

[-] rimu@piefed.social 14 points 1 week ago

The emoji usage, heading & bold text pattern makes me certain the article was written using AI.

[-] jsomae@lemmy.ml 11 points 1 week ago

But remember, one almond uses at least as much water as two requests to ChatGPT (sources: almonds, queries, data centers), so if you're eating almonds at all then you're being inconsistent.

[-] boaratio@lemmy.world 15 points 1 week ago

I appreciate you sharing sources for that. I know almond use a lot of water. But one of the things you mentioned is food, and the other is a liar.

[-] jsomae@lemmy.ml 5 points 1 week ago* (last edited 1 week ago)

that's very pragmatic, but you can also flip this around -- almonds are a luxury compared to other more practical foods, whereas LLMs can help a coder net an income if used properly. I don't think you can justify almonds if you're going to claim AI usage is unethical on purely environmental grounds. And dairy milk is twice as much as almond milk in terms of water, so if you have dairy in your diet, cutting that out is going to be a lot more effective for reducing your water footprint than not using LLMs.

Anyway, check out the third link for more info on the total water usage of data centers; it doesn't really add up to much compared to much larger things like golf courses. I don't get why anyone would use water usage as a reason to agitate against AI for given that there are so many worse problems AI is causing.

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[-] davidagain@lemmy.world 11 points 1 week ago

Yeah, AI is shit and a massive waste of energy, but it's NOTHING compared to the energy usage of the airline industry.

[-] Reygle@lemmy.world 6 points 1 week ago

Friend, did you actually follow the link? Maybe just read the pictures?

[-] davidagain@lemmy.world 18 points 1 week ago

Just because something has a pretty infographic doesn't make it true.

[-] davidagain@lemmy.world 12 points 1 week ago

Picked at random, It also claims this:

Why does nighttime AI use burn dirtier energy? Fossil fuel dominance: Coal and gas supply up to 90% of overnight electricity. Solar drop-off: Solar disappears after sunset, while wind delivers only ~30% capacity at night. Peak carbon hours: Between 2–4 AM, grid intensity rises to 450–650 gCO₂/kWh, compared to 200–300 gCO₂/kWh in the afternoon.

This is complete bullshit in the UK, where energy is greenest in the small hours of the night when demand is low and the wind turbines are still turning. Least green and most expensive is late afternoon and evening, when energy usage spikes.

Let me reiterate. AI is crap. AI is a massive waste of energy, but your website has its calculations off in terms of order of magnitude when it comes to comparing the airline industry pushing tons of metal fast and hard into and through the sky with AI pushing a bunch of electrons through a bunch of transistors. Seriously, way off.

[-] davidagain@lemmy.world 10 points 1 week ago

I checked. The IEA says airlines generate about a gigaton of CO2, and it's still growing since the dip of covid, which is perhaps where your infographic authors got their screwy figures, which are, like I suggested, the wrong order of magnitude.

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[-] Lumisal@lemmy.world 7 points 1 week ago

That says national not global

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[-] blaue_Fledermaus@mstdn.io 10 points 1 week ago

Makes me wonder what they are doing to reach these figures.
Because I can run many models at home and it wouldn't require me to be pouring bottles of water on my PC, nor it would show on my electricity bill.

[-] Artisian@lemmy.world 8 points 1 week ago

Well, most of the carbon footprint for models is in training, which you probably don't need to do at home.

That said, even with training they are not nearly our leading cause of pollution.

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[-] ReCursing@feddit.uk 9 points 1 week ago

It's using energy, we need more renewables. That's not a problem with AI. Direct your opprobrium where it belongs

[-] maccam912@programming.dev 9 points 1 week ago

What does it mean to consume water? Like it's used to cool something and then put back in a river? Or it evaporates? It's not like it can be used in some irrecoverable way right?

[-] lime@feddit.nu 7 points 1 week ago

"using" water tends to mean that it needs to be processed to be usable again. you "use" water by drinking it, or showering, or boiling pasta too.

[-] morto@piefed.social 5 points 1 week ago* (last edited 1 week ago)

if they take the water and don't return to the source, there will be less available water in the water body, and it can lead to scarcity. If they take it and return, but at a higher temperature, or along with pollutants, it can impact the life in the water body. If they treat the water before returning, to be closest to the original properties, there will be little impact, but it means using more energy and resources for the treatment

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[-] Deceptichum@quokk.au 9 points 1 week ago

Shame to see this clickbait blog misinfo here, but the anti-ai sloppers wont let that stop them.

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[-] melsaskca@lemmy.ca 9 points 1 week ago

I did some research and according to some AI's this is true. According to some other AI's this is false.

[-] Reygle@lemmy.world 5 points 1 week ago

"Dear expensive thing: Are you wasteful?"

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[-] fittedsyllabi@lemmy.world 7 points 1 week ago
[-] jordanlund@lemmy.world 7 points 1 week ago

Generating bullshit that isn't really that useful.

Remember when the Apple Newton "revolutionized" computing with handwriting recognition?

No, of course not, because the whole thing sucked and vanished outside of old Doonesbury cartoons. LOL

[-] NewNewAugustEast@lemmy.zip 5 points 1 week ago

Well what you said is not true, but since you are so interested in this, why limit it to AI? Just quit using computers all together.

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[-] boovard@lemmy.world 5 points 1 week ago

Barely ever used it just for that reason and the fact that the algorithms are getting worse by the day. But now my work is forcing us to use it. To increase productivity you see...

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[-] surph_ninja@lemmy.world 4 points 1 week ago* (last edited 1 week ago)

A lot of these studies they list are already years outdated and irrelevant. The models are much more efficient now, and it’s mainly the Musk owned AI data centers that are high pollution. Most of the pollution from the majority of data centers is not from AI, but other use.

The old room-sized ENIAC computers used 150-200 kW of power, and couldn’t do even a fraction of what your smart phone can do. The anti-AI people are taking advantage of most people’s ignorance, intentionally using outdated studies, and implying that the power usage will continue to grow- when in fact it has already shrunk dramatically.

[-] Reygle@lemmy.world 4 points 1 week ago

A Phone can't do anything. It can send/receive and the datacenter does the work. Surely everyone understands this.

A modern AI data center have already shot right past 200 Terrawatt hours and are on track to double again in the next two years.

People can't be this blind.

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[-] Bebopalouie@lemmy.ca 4 points 1 week ago

I stopped l, not that I used it that much, about 5 months ago.

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this post was submitted on 15 Sep 2025
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