cross-posted from: https://lemmy.ml/post/20289663

A report from Morgan Stanley suggests the datacenter industry is on track to emit 2.5 billion tons by 2030, which is three times higher than the predictions if generative AI had not come into play.

The extra demand from GenAI will reportedly lead to a rise in emissions from 200 million tons this year to 600 million tons by 2030, thanks largely to the construction of more data centers to keep up with the demand for cloud services.

91 points

Between AI and shitcoin mining, these two “technology branches” already consume more power than all the green power added to the grid combined.

It’s why humans will always remain de facto slaves to a few masters. Anything that could potentially be advantageous to all life on Earth? Only if the ones at the top get to profit first. No profit? Enjoy scorching to death on hell-planet for the next forty years!

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6 points

Between AI and shitcoin mining, these two “technology branches” already consume more power than all the green power added to the grid combined.

I think you would be shocked if you learned what some other things in our world cost in CO2.

The energy costs of cryptocurrency mining are easy to calculate because the system is extremely transparent. AI is a little muddier, but we know how much big tech is expanding data centers, and we know how many enterprise GPUs Nvidia sells, so we get a decent estimate.

But these things don’t actually do as much damage as compared to other things. Imagine how much energy is used for Gaming PCs and consoles. It’s probably up there with Crypto and AI if you consider all running consoles and PCs, plus all the multiplayer infrastructure. But we don’t have numbers because this is hard to calculate.

And then there’s stuff like personal automobiles, that completely blow these other things out-of-the-water.

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3 points

Or compare to the CO2 put out by global concrete construction. It’s more than some might believe.

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6 points
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7 points
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Yes but concrete is required. It is literally the foundation of modern civilization. It is the second most used substance on the planet after water. Without it we would have to do away with things like roads, power plants (green and carbon emitting), housing, water treatment and waste treatment plants, erosion control and seawalls, and most production facilities for all of our day to day goods and essentials.

The industry is making steps to reduce its up front carbon cost and inrease captured carbon in the concrete, but it is slow moving as big changes can cause major problems with infrastructure. Noone wants their hospital falling down because they used a new mix design that hasn’t been thoroughly tested and tried.

We dont work without concrete, but i’m pretty sure we do work without bitcoin.

If your just looking at fun carbon emitting facts though, then aluminum smelting is another huge number like 4% globally. Concrete is like 7% globally, and HVAC is like 12%.

https://sustainability.mit.edu/article/cleaning-one-worlds-most-commonly-used-substances#:~:text=Concrete is the second most,it’s used to make concrete.

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1 point
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AI consumes power, yes, it’s projected to triple its environmental impact, yes, but its environmental impact is much less than most other things. If anything, the AI hate train draws angry peoples’ focus off the big polluters that matter.

“Arrghle AI is in everything and modern cars track you, I’ll just drive a 30+ year old pickup truck because they don’t has no AI tracking nonsense”

Oil and gas companies: money

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-7 points

AI and crypto would be fine if we didn’t have to put up with capitalism.

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6 points
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2 points

I dont think much will remain after this extinction event. Do you know how long it takes niches to refill in an ecosystem? We’re going to get to a point where industry collapses and we are reset if we survive at all.

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11 points

We wouldn’t even be able to restart. All the easily available resources have been delved. Three thousand years ago people could scoop pure gold from rivers by the kilos. Today, all decent deposits lie kilometers below the surface.

But it’ll be for the best. We had our shot and blew it.

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1 point

Maybe resources will be scarce enough that we are forced to try something other than capitalism, as we have to share to make it anywhere. Or maybe it will just make all resources needed for advanced technologies unavaible. Then we can fight over whose hut is closest to the last river.

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12 points

Resources like gold would be more accessible, y’know because it already been mined and made into things. If society collapses what few survivors there are could recycle shit like metals. The actual issue is fossil fuels. Getting to a point where you can use renewable power would be difficult with using fossil fuels for power first.

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-7 points
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Between AI and shitcoin mining

The difference is that the better shitcoins have been upgraded to be 99% more energy efficient.

But there’s no foreseeable limit or escape from the waste of “AI”.

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8 points

Proof of Stake (PoS) is just dollar bonds without regulations. There’s no "difficulty adjustment" to minimize profits, so inequality will just get worse and worse.

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44 points

Between AI and shitcoin mining, these two “technology branches” already consume more power than all the green power added to the grid combined.

And your sources? I only did a cursory search, and according to the IEA data centers are responsible for somewhere in the range of 2-6% of electricity demand. Renewables are currently around 30% globally.

Source: https://www.iea.org/reports/electricity-2024

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24 points

I feel like some people are just emotional reactionaries. They see a certain story, and in their own mind they make the story worse than it is, and treat their feelings as fact.

I have no sources on this, or proof that this guy in particular is doing that.

…wait, am I doing it right now???

Hmmmmm…

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3 points

Maybe they got confused about total power usage (maybe) being more than the green power added?

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10 points

Look, i’m not saying that this isn’t a problem. My only question is, is this one of those “global warming is because people don’t recycle their soda bottles” things? In other words, How concerned should I be about this vs, taking attention away from the energy, beef, and transportation industry?

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25 points

Very concerned. It’s currently a race who can speed run us to extinction first.

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4 points

So you’re saying that we should be concerned with datacenters more than things like factory farming and oil & gas?

I don’t follow. I need a lot more evidence of harm before I become “very concerned” about datacenters specifically.

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1 point

Don’t you dare say that eating meat is bad bro, someone will get very upset and point their finger at AI

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7 points

I don’t think this is something to focus on. Tech being 40% of all emissions in the US is suspicious, given that in 2021, all industry was 30.1%, and all transportation was 28.5%. And the total emissions in the US was 6.3 billion tons. https://www.ers.usda.gov/data-products/chart-gallery/gallery/chart-detail/?chartId=108623

I don’t have more recent data (if it’s in the article, I didn’t see it at a skim) but I feel like oil, gas, and agriculture are the bigger long-term targets.

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11 points

Looks like Techradar misunderstood parts of the source story. The projected emissions over the next 10 years is equal to 40% of all US emissions. The Register

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6 points
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1 point
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It’s a percent against the world’s emissions. Be concerned less with this. AI is the current hate train whipping boy, and takes the pressure of public focus off the biggest polluters.

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-11 points

This is posted every week with different numbers. I don’t care if data centers use a lot of electricity. They run very efficiently and are a necessity for our modern lives. You have no idea what is being run inside those data centers ai is so much more than chatgpt.

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6 points
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-4 points

Ah yes, it’s tech bros that are killing the earth, nothing else, nuh uh couldn’t be anything else 😂 I don’t even like AI in it’s current form but you guys make me chuckle

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1 point
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4 points

“The only way to interpret statistics is with a healthy dose of skepticism and a thorough understanding of their context.”

While people in this thread jump at the opportunity for this slice of statistics to affirm their confirmation biases, intelligent people will ask what the total carbon dioxide output looks like by comparison.

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0 points

Can’t be logical here. This is a topic that’s like discussing immigration with Republicans.

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5 points

You’re quick to imply that this study is bullshit, yet offer no counter argument except “believing statistics is for losers lul”

So where are your sources to refute the article?

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6 points

Ita also trivial to come to the same conclusion at a smaller scale.

You can run a LLM at home and see the amount of GPU & power resources it takes to compute the larger models. If I ran that full time, your household bill will most likely be 3x alone.

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3 points

Never said the study was bullshit. I just said to look at the bigger picture.

I would show you how Google works and provide an article, but your reading comprehension leads me to believe you’d come up with another straw man fallacy to support your confirmation bias.

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-1 points
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Oh fuck off already, nobody cares.

Do we have an iamverysmart community? We could use one.

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-1 points

If I run some AI model on my GPU and power my computer via solar power and some batteries, am I actually contributing significantly to GHG emissions?

Like what is the embodied energy of an AI model?

As usual, pundits and scientists confuse what is and what could be with the truth. For example plastic recycling isn’t possible because “right now economics don’t make it profitable”. Meaning capitalism is killing us, not plastics. I suspect the same is true for AI.

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6 points

The model has to be trained, refined, etc. You running it off grid isn’t the entire process, but I agree with you in a different sense.

If not AI, then there would be some other kind of compute taking up server capacity. It’s on the data centers to solve this one, not AI.

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1 point

yea but the models are already trained and noone pays to use the open source ones, so you’re not really contributing to the training greenhouse gas emissions if you use an open source gen ai model locally.

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2 points

Training a model isn’t free. It takes money and compute. That’s also the greenhouse emissions. Even if you don’t pay for any model and run it locally using solar, you’ve still got to consider what came before.

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