AI compute is not the new oil. Demand for oil is very inelastic: it's very difficult to increase the thermodynamic efficiency of the physical processes that convert oil into energy. AI compute efficiency, on the other hand, is improving exponentially. AI will end up being just slightly more expensive than the raw electricity required to produce it.

Data center demand right now has much more to do with private credit's demand for new deals, since the binge they went on around the pandemic led to the accumulation of a lot of bad debt and depreciating assets. Data centers are a tool for extracting money from insurance trusts and pension funds to prop up private credit and create debt-driven artificial "revenue" for the hyperscalers and Nvidia.

Yeah AI is electricity, not oil. It's boring but it's already true.

I'm building a side business and decided to go with open router because that's what AI is going to look like in the future. Just intelligence/$ everything else kind of not important.

Unless, they solve the issue of model output diversity and Claude becomes very different from ChatGPT

you're getting robbed on the fee's

> AI will end up being just slightly more expensive than the raw electricity required to produce it.

AFAICT, this hasn't happened for any "cloud" compute company that has been in business for -say- at least five years. Unless your prediction is that roughly no one will use "cloud" "AI", I'm rating this prediction as "totally bogus". And if that is your prediction, then what you're saying is

  Assuming that you're not doing anything that needs exotic system administrators, nearly all of the cost of computing when you own your own hardware is the power for that hardware.

which... unless you're buying used hardware, I don't think that's true, either. Hetzner quotes a max of 167.23 EUR/month for a full rack and what I think is 2400W of power, and lists the rate for Finnish power as 0.22 EUR per kWh. [0] If we assume that Hetzner's spending cap doesn't apply and we are forced to pay the full quoted rate for power in Finland, I think that works out to a bit under 4.6K EUR per year:

  240V * 10A = 2.4kW
  2.4kW * 24H * 30 * 12 = 20,736 kWh
  20,736kWh * 0.22 EUR/kWh  = 4562 EUR/year

The last time I got quotes for most of a rack of server hardware was like a decade ago, and that pretty-bog-standard server hardware ran around 200K USD. If we assume a ten-year expected life [1], that hardware cost about 17K EUR per year. Assuming I haven't fucked up my math, [2][3] the cost of the hardware here is more than three times the cost of power.

Note that I'm using roughly decade-old hardware prices and allegedly-current electricity prices. If we used hardware prices from two years ago -or worse, from today- the hardware would cost far more per year.

[0] <https://www.hetzner.com/colocation/>

[1] ...which I think is between two and three times longer than is standard to expect in the business world...

[2] ...it's very likely that I have! Corrections are definitely welcome.

[3] ...it's also possible that USians get gouged for server hardware and that it's like a quarter of the cost if you buy it in Finland. I expect that there's definitely a price difference, but I doubt that it's very large.

>AFAICT, this hasn't happened for any "cloud" compute company that has been in business for -say- at least five years.

Most cloud software has had moats. AI does not. And AI is eating software, which means those historical margins are going away for a lot of cloud software,too. That's what the SAAS-pocalypse is about.

>Assuming that you're not doing anything that needs exotic system administrators

Remember, these are also going to be AI.

>Assuming I haven't fucked up my math, [2][3] the cost of the hardware here is more than three times the cost of power.

This is a fair point, but it just means the COGS is higher, not that the margin is any better. I stand by the prediction that AI margins will be very slim.

Even if that scenario did happen (I agree I don't think most of the major providers would survive on a commodity utility model). Most of the advances in AI are driven by huge amounts of funding for research. If everyone goes to open source models/utility based pricing etc then it'll be cheaper but the current rate of improvements are being overwhelmingly driven by the frontier labs (for better or worse) and they're being driven by vast amounts of VC funding predicated on making vast amounts of money.

I'm very dubious we can have our cake and eat it of constant magnitude order improvements and also commodified utility pricing.

What? You're saying that Hetzner is losing money?

168 * 12 < 4562

  168 * 12 < 4562

That is correct. It's a little under half that. It's why I said

  If we assume that Hetzner's spending cap *doesn't* apply...

> You're saying that Hetzner is losing money?

If I were saying that, I would have said it. Unless "XXX max/mo." doesn't mean what it means in plain English, I _very_ strongly expect that it's very rare for colo customers to suck down all available power 24/7 and that Hetzner has a Stern Talk with customers who do but didn't disclose their intent to do so up front. I mean, you tell me... if you've ever lived in an apartment where your power and water was included in the rent and was metered with a whole-building meter (rather than per-unit meters), did you consume every amp and gallon that could be delivered to you, or did you use just a bit more than what was useful to you in the course of everyday life? [0]

I worked the math the way I did (even doubling or tripling the expected lifetime of the server hardware) to make the numbers as favorable for the "electricity is almost 100% of the cost of computing" side of the argument as they could reasonably be.

Are you saying that I fucked up my math?

[0] And if you're never lived in such an arrangement, ponder instead how you would behave if you did find yourself in one.

Fair. Your argument is that the price of the hardware dominates the price of electricity in cloud computing

They probably meant that AI = fossil fuels, because gas is the energy source from where majority of electricity for AI datacenters will (proportionally) come from.

History has proven that businesses will relentlessly and needlessly raise prices to increase revenue quarter over quarter.

More reasons for regulation.

AI companies, LLM makers, AI solution providers, and AI users should be inexcusably responsible for any and all harms caused by their misaligned automations across the chain. This alone will encourage self regulation and fix a broken industry that has too long prospered on fail fast and break things to be more considerate of their actions.

The second form of regulation should be on excessive energy consumption. The US Department of Energy needs to declare energy to be a vital human resource, and exorbitant uses for computing to be curtailed. Bidding on energy prices should be restricted to the excess markets where free market dictates price. And supply will reduce availability.

Long term, this will put the right kind of pressures and halting of demand. It will slow down investment in infrastructure and increase investment in research and development. It will prioritize efficient AI uses over low quality trial and error.

Fair point. I guess very few have the incentive to do this voluntarily.

oil can be stored and used later. ai compute can't.

the new oil as in we’re going to make a bunch of products that are needlessly packaged with derivatives of it, leaving behind a toxic mess that will take generations to clean up?

It's already happening with development smartwatches.

This caught my eye:

> Architect Financial Technologies, founded in 2023, offers futures in compute linked to the value of chips in America. The firm has also recently launched a platform where model-makers bid to provide “inference”—the useful output produced by an AI model in response to a prompt—rather than the underlying compute capacity.

I think the idea of selling inference is solid, but I’m not convinced Wall Street is going to be doing that. Superscalers are better positioned.

Inference will likely be priced by evals, specific for each workload.

the concern is real because the current market is treating AI as "hand off and controlling all" agent, which is not efficient and not desirable because AI is still not smart enough to take on this initiative yet, and most of the work (especially repeatable ones don't need full AI. I would guess 5-10% of our current spending is actually usefully achieving some positive outcomes, the rest are just wasted. But the global resources pouring into AI field is the real trend.

I remember in the 2010s when people were saying Big Data is the new oil

Oils probably a poor metaphor but between the ubiquity of companies deriving significant value from data + analytics on larger than memory datasets and the recent mad rush for training data I don't think that is the wildest tech prediction ever.

I think LLMs are more likely to end up as something boring we don't think about like cloud computing but I don't think comparisons with crypto etc are fair as it's a much more generalisable technology.

Remember when people thought crypto and NFTs were the new oil... lol. LLMs will have staying power, there's just a day where this seems like it's all going to run on our laptops. OpenAI's fear of that and tanking the RAM market was just a temporary setback.

AI has to take us where We want to go before its compute can be considered on par with oil.

I think that's starting to happen. There's a new vibecoded project shown off here almost every day. YouTube has gotten a lot more entertainment rising above the slop. People are beginning to realise what AI can do for them.

i would argue that youtube has gotten alot worse this year, and every vibecoded project shown off here has been pretty soulless and pointless.

It's hard to say that all the (to varying degrees) vibecoded security vulnerabilities posted to the frontpage are pointless.

infrastructure project big enough to affect qol in neighborhood: checked

corruption: checked

regulatory capture: in progress

Ya, the new oil.

This seems silly. It's analogous to an electricity market where every megawatt is a different voltage, in a different city with no transmission lines... might stop working halfway through the job, and only works properly if you buy another 500 megawatts from the same supplier... good luck getting this market off the ground.

We’re trying to get rid of fossil fuels…

AI news is the new IDGAF and needs a new website.

> created: 54 days ago

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