archive.is link to article from allabout.ai at https://www.allaboutai.com/resources/ai-statistics/ai-environment/
OP, this statement is bullshit. you can do about 5 million requests for ONE flight.
i’m gonna quote my old post:
I had the discussion regarding generated CO2 a while ago here, and with the numbers my discussion partner gave me, the calculation said that the yearly usage of ChatGPT is appr. 0.0017% of our CO2 reduction during the covid lockdowns - chatbots are not what is kiling the climate. What IS killing the climate has not changed since the green movement started: cars, planes, construction (mainly concrete production) and meat.
The exact energy costs are not published, but 3Wh / request for ChatGPT-4 is the upper limit from what we know (and thats in line with the appr. power consumption on my graphics card when running an LLM). Since Google uses it for every search, they will probably have optimized for their use case, and some sources cite 0.3Wh/request for chatbots - it depends on what model you use. The training is a one-time cost, and for ChatGPT-4 it raises the maximum cost/request to 4Wh. That’s nothing. The combined worldwide energy usage of ChatGPT is equivalent to about 20k American households. This is for one of the most downloaded apps on iPhone and Android - setting this in comparison with the massive usage makes clear that saving here is not effective for anyone interested in reducing climate impact, or you have to start scolding everyone who runs their microwave 10 seconds too long.
Even compared to other online activities that use data centers ChatGPT’s power usage is small change. If you use ChatGPT instead of watching Netflix you actually safe energy!
Water is about the same, although the positioning of data centers in the US sucks. The used water doesn’t disappear tho - it’s mostly returned to the rivers or is evaporated. The water usage in the US is 58,000,000,000,000 gallons (220 Trillion Liters) of water per year. A ChatGPT request uses between 10-25ml of water for cooling. A Hamburger uses about 600 galleons of water. 2 Trillion Liters are lost due to aging infrastructure . If you want to reduce water usage, go vegan or fix water pipes.
Read up here !
If you want to look at it another way, if you assume every single square inch of silicon from TSMC is Nvidia server accelerators/AMD EPYCs, every single one running AI at full tilt 24/7/365…
Added up, it’s not that much power, or water.
That’s unrealistic, of course, but that’s literally the physical cap of what humanity can produce at the moment.
If you only include chat bots, your numbers look good. Sadly reality isn’t in “chat bots”.
I’m not sure what you’re referencing. Imagegen models are not much different, especially now that they’re going transformers/MoE. Video gen models are chunky indeed, but more rarely used, and they’re usually much smaller parameter counts.
Basically anything else machine learning is an order of magnitude less energy, at least.
The combined worldwide energy usage of ChatGPT is equivalent to about 20k American households.
Or about 10 small countries. Not even being that hyperbolic: American households are fabulously, insanely wasteful of energy.
The rest of the world (barring places like Saudi Arabia, which are rarely used as moral or socio-cultural examples the world should learn from) has done the whole ‘What’s the point in trying to better the world when America and China do more damage than the rest of the world combined?’ debate decades ago, and we ended up deciding that we can’t control the worst offenders, and can only do what we can.
Literally any moral value or standard is subject to ‘but but but what’s the point if you can’t eradicate the problem entirely?’, that’s why it’s such a weak fallacy. Minimising absolutely pointless destruction of non-renewable resources won’t successfully save the environment tomorrow, but we can do it anyway, and if will help. We can’t eradicate theft, but we can do our best to pay for things before taking them. We know that being polite in public isn’t the 1 thing holding our society back from utopian perfection, but we do it anyway, because it helps.
We can all pinky promise not to murder or violently assault anyone, and pay no attention to the weirdo protesting that ‘What’s the point in not assaulting people when actually, cars and illness and unhealthy lifestyles do more harm’, because that person is presumably just looking for an excuse to hit someone.
And yeah, long story short: using ‘American households’ as an example of how insignificant AI’s energy usage is is kinda like saying smoking is safe because it’s actually less harmful than spending 6 hours a day on a busy road in Delhi. If you don’t spend 6 hours a day near busy roads in Delhi, you won’t exactly think ‘oh that’s ok then’. And if you do, your lungs need all the help they can get and you’ve got all the more reason to be wary of smoking (I say this as a smoker btw).
Huge areas of Africa and the middle east are becoming uninhabited because of climate change. Those people all need food and water, and the western world does not have the resources or inclination to house and feed them all. It is almost unanimously described as the worst crisis humanity has ever faced, and the practical solution - stop wasting fossil fuels and non-renewable resources when there’s a viable alternative - is so insanely easy.
Billions of lives could be saved, if everyone on the planet agreed to be mindful of energy waste. Not ‘stop using energy’ or ‘everybody become vegan and live in houses made of recycled banana peel’, just quit wasting.
But there are entire countries who don’t seem to get the whole ‘acting together for the betterment of humanity’ thing, so that incredibly simple solution won’t work. And all we can do in the meantime is to lead by example, make ‘responsible consumption’ a lifestyle rather than an option, and hope against hope that enough Americans and Chinese people decide to reduce their dependence on 1000 daily images of shrimp Jesus or an endless output of bullshit papers written by AI to pretend that’s what science means, in time to maybe save some of the planet before wildfire season lasts 12 months a year.
Also: it’s not even like you’re gaining anything from constantly using AI or LLMs. Just fleeting dopamine hits while your brain cells wither. Of all the habits one could try to reduce, or be mindful of, to literally save lives and countries, anybody who honestly thinks generative AI is more important is very addicted.
Also also: it’s just so shit.
But there are entire countries who don’t seem to get the whole ‘acting together for the betterment of humanity’ thing,
I would describe it as ‘indoctrinated by Big Oil’, heh… It is awful.
Also: it’s not even like you’re gaining anything from constantly using AI or LLMs. Just fleeting dopamine hits while your brain cells wither. Of all the habits one could try to reduce, or be mindful of, to literally save lives and countries, anybody who honestly thinks generative AI is more important is very addicted. Also also: it’s just so shit.
The majority of text ingestion/token generation is consumed by other machines for stuff like coding assistants or corporate data processing, and this includes image ingestion. I dunno what fraction is image/video generation is, but I suspect it’s not high, as there’s really no point outside of cheap spam.
You are not wrong, and corpo AI is shit for plenty of reasons (including being needlessly power hungry when it doesn’t have to be), but I’m not relenting that this is a ‘small fish’ issue to pursue in reference to the massive waste in so many other parts of the US.
Big Oil and such delight in such distractions because it draws attention away from their more profitable and harmful sectors they’d rather people forget about.
Could you explain further?
Image/Video generation, analysis (them scrubbing the entire public internet) consumes far, far more than someone asking an AT “grok is this true”
Do you have a source for this claim? I see this report by Google and MIT Tech Review that says image/video generation does use a lot of energy compared to text generation.
Taking the data from those articles, we get this table:
AI Activity Source Energy Use (per prompt) Everyday Comparison Median Gemini Text Prompt Google Report 0.24 Wh Less energy than watching a 100W TV for 9 seconds. High-Quality AI Image MIT Article ~1.22 Wh Running a standard microwave for about 4 seconds. Complex AI Text Query MIT Article ~1.86 Wh Roughly equivalent to charging a pair of wireless earbuds for 2-3 minutes. Single AI Video (5-sec) MIT Article ~944 Wh (0.94 kWh) Nearly the same energy as running a full, energy-efficient dishwasher cycle. “Daily AI Habit” MIT Article ~2,900 Wh (2.9 kWh) A bit more than an average US refrigerator consumes in a full 24-hour period. Another way of looking at this: A “Daily AI Habit” on your table is about the same as driving a Tesla 10 miles, or a standard gas car about 3 miles.
Edit 4 AI videos, or detour and take the scenic route home from work… about the same impact.
I like that as well, thank you! Yeah, the “Daily AI Habit” in the MIT article was described as…
Let’s say you’re running a marathon as a charity runner and organizing a fundraiser to support your cause. You ask an AI model 15 questions about the best way to fundraise.
Then you make 10 attempts at an image for your flyer before you get one you are happy with, and three attempts at a five-second video to post on Instagram.
You’d use about 2.9 kilowatt-hours of electricity—enough to ride over 100 miles on an e-bike (or around 10 miles in the average electric vehicle) or run the microwave for over three and a half hours.
As a daily AI user, I almost never use image or video generation and it is basically all text (mostly in the form of code), so I think this daily habit likely wouldn’t fit for most people that use it on a daily basis, but that was their metric.
The MIT article also mentions that we shouldn’t try and reverse engineer energy usage numbers and that we should encourage companies to release data because the numbers are invariably going to be off. And Google’s technical report affirms this. It shows that non-production estimates for energy usage by AI are over-estimating because of the economies of scale that a production system is able to achieve.
Edit: more context: my daily AI usage, on the extremely, extremely high end, let’s say is 1,000 median text prompts from a production-level AI provider (code editor, chat window, document editing). That’s equivalent to watching TV for 36 minutes. The average daily consumption of TV in the US is around 3 hours per day.
please elaborate?
It’s so important to differentiate between commercial LLMs and AI as a general concept.
Your article doesn’t even claim that. Do you have any idea just how carbon intensive a flight is?
I imagine people making that claim accept air travel as useful and “AI”, really, all datacenters as not useful. I’ve had people tell me oh, air travel is more efficient per mile that road travel. But this ignores that people wouldn’t drive thousands of miles if it was not as easy as booking a flight.
300,000 liters of jet fuel to send one 747 across the Atlantic Ocean - one time.
For modern planes 70 - 90k liter… it’s bad enough, no need to exaggerate
As of July 2025, approximately 424 Boeing 747 aircraft are in active airline service
…and I take it they burn three hundred thousand litres to run the Atlantic as well?
Yes they do. A big part of it is their size / capacity. Per passenger or per kg cargo they’re pretty efficient, but that doesn’t change the fact that they burn ~280,000 liters on a typical (Washington D.C. to Frankfurt) Atlantic crossing round trip.
Yes, overstated - it’s a two way Atlantic crossing. And if you consider Newfoundland to Ireland to be “an Atlantic crossing” that certainly uses less, and it’s rounded up a bit - though with unfavorable wind conditions it can exceed 300,000 liters.
Also, be careful what you believe when you ask AI a question - what’s wrong with this answer? "A Boeing 747 burns roughly 18,000 to 24,000 gallons of fuel for the Miami to Frankfurt flight, which is about 36,000 to 50,000 liters. "
I mean an Atlantic round trip fully laden, yah but that’s just even economical compared to private jet travel, which completely defeats the purpose of the shock value number
Or a LLM query?
Yeah, AI is shit and a massive waste of energy, but it’s NOTHING compared to the energy usage of the airline industry.
Friend, did you actually follow the link? Maybe just read the pictures?
Just because something has a pretty infographic doesn’t make it true.
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.
That says national not global
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.
Cite your source and compare also using your source?
https://lmgtfy2.com/query/?q=IEA
Like I said, the IEA. The International Energy Agency. I wonder if you’ve heard of them.You can throw scepticism as much as you like, dude, but
(1) I did not lie and
(2) your website is unreliable. Give it up.Again. LLMs are crap, they spout falsehoods all the time, they use unreasonably large amounts of data, but the airline industry pollutes a LOT more.
I begin to wonder whether your website was itself written by an LLM.
both those numbers are insignificant.
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.
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.
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.
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.
almonds have value, while data centers dont generate profit.
I did some research and according to some AI’s this is true. According to some other AI’s this is false.
The statement strikes me as overblown extreme position staking.
I use AI in my work, not every day, not even every week, but once in a while I’ll run 20-30 queries in a multi-hour session. At the estimated 2Wh per query, that puts my long day of AI code work at 60Wh.
By comparison, driving an electric car consumes approximately 250Wh per mile. So… my evil day spent coding with AI has burned as much energy as a 1/4 mile of driving a relatively efficient car, something that happens every 15 seconds while cruising down the highway…
In other words, my conscience is clear about my personal AI energy usage, and my $20/month subscription fee would seem to amply pay for all the power consumed and then some.
Now, if you want to talk about the massive data mining operations taking place at global-multinational corporations, especially those trolling the internet to build population profiles for their own advantages and profit… that’s a very different scale than one person tapping away at a keyboard. Do they scale up to the same energy usage as the 12 million gallons of jet fuel burned hourly by the air travel (and cargo) industries? Probably not yet.
9.6kWh of energy in a gallon of jet fuel, so just jet fuel consumption is burning over 115 Gigawatts on average, 24-7-365.
I hope you recycle as well!
I hope your recycling is net carbon neutral as well. Example: how much CO2 is released by a recycling program which sends big diesel trucks all over the city to collect recyclables including cardboard, sorting that cardboard at a facility, shipping a small fraction of that to a pulp recycling facility and making recycled cardboard from the post-consumer captured pulp? Consider the alternative to be: torching the cardboard at the endpoint of use - direct conversion to CO2 without the additional steps.
Don’t forget: new from pulpwood cardboard also is contributing to (temporary) carbon capture by growing the pulpwood trees which also provides groundwater recharge and wildlife habitat on the pulpwood tree farms - instead of the pavement, concrete, steel, electricity and fuel consumption of the recycling process.
“Dear expensive thing: Are you wasteful?”
“Uh…yes? Wait! No…”
From this page it turns out that every prompt is one glass of water. Is there any chance we run out of water at this point ?
There have been reports of AI data centers further draining water reserves in areas of non abundant nor sufficiently recovering water. Which has not only environment but social and human consequences in the area.
Bitcoin or crypto?
What is this masterpiece ? Pro-pornography subliminal propaganda ?
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…
I wonder how one gets banned from using these tools without just spraying non stop paste’s of expletives in to the chat box
I stopped l, not that I used it that much, about 5 months ago.
This is my main issue with it. I think its useful enough but only if it uses about the same energy as you would use doing whatever without it. Most conversations I had with someone trying to convince me it does not use to much power end up being very much like crypto ones were it keeps on being apples to oranges and the energy consumption seems to much. Im hoping hardware can be made to get the power use lower the way graphics cards did. I want to see querying an llm using about the same as searching for the answer or lower.
I have started using Copilot more lately, but I’ve also switched from plastic straws to paper, so I’m good, right?
I’ve also switched from plastic straws to paper,
The baby turtles thank you.
You can drink one less coffee per week and so save more carbon emission and water usage than not using LLMs.
Sauce?
Would love to have a read on that :)
I just fashion a straw from the microplastics already in my brain when I need one!
Why did you start using straws at all?
deleted by creator