It is!
. . . and yet it is not! Ker-ching!
Goldman Sachs warns that datacenter investments may fail to pay off if the industry is unable to monetize AI models, but hedges its bets by saying that demand could also overwhelm available capacity by 2030. Investors have been pouring cash into datacenters, buoyed by the AI-driven demand for compute resources that has led to …
Yeah, that and microchipped quantum cats, contained in a blue carrier, that seemingly both exist, and don't, simultaneously, for hours on end ... ;)
GAFA are betting on an exponential rise in income from AI. Businesses don't have that cash.
As for users, well. I wouldn't use copilot if MS paid me to.
Investors don't seem to realise that the very pricey chips that they are investing in depreciate rapidly from before they are turned on and will be obsolete real soon, requiring replacement. GAFA bilk customers with subscriptions. It will be novel for investors to be treated the same way.
Goldman Sachs are amusingly offering a pick-your-own future for investors to choose from.
They might want to consider how lucrative a product might be if it has to be forced on people who don't want it and wont pay for it.
Goldman Sachs will have packaged them up in ETF’s, derivatives of ETF’s and exited long before this.
The ‘10%+ easy return/no effort suckers’ suckers on eToro, Revolut, Monzo and other buy, sell, make a return doing nothing leeches …: will eat the shit when it bursts.
(Looking for the sarcasm thingee.)
I see dystopian pictures of tumbleweeds rolling by huge rusting/decaying building in the middle of nowhere. I also see a lot of governments (small and large) being left with huge holes in their budgets and nobody can find the original investors or their attorneys.
I see dystopian pictures of tumbleweeds rolling by huge rusting/decaying building in the middle of nowhere. I also see a lot of governments (small and large) being left with huge holes in their budgets and nobody can find the original investors or their attorneys.
I am almost 100% sure that that's what will happen. And there will be lots of holes in lots of budgets. I talked to my "finance guy" the other week and told him I don't want my money going to anything involving crypto or AI. He said that avoiding AI is difficult, since almost all companies are doing something with it. With only 5% of users actually paying for it (per Ed at www.wheresyoured.at), where are the AI companies expecting all this growth to come from? Will they be able to get everyone so addicted to it that they'll be willing to pay the stupendous amounts it actually costs to run?
All the municipalities that are turning against data centers in their back yards will be so glad they did, to avoid your dystopian future.
>Goldman Sachs warns that datacenter investments may fail to pay off if the industry is unable to monetize AI models, but hedges its bets by saying that demand could also overwhelm available capacity by 2030.
"It might go very bad, or it might go very well. Or it might go just bad, or just well. Unless it goes so-so."
And someone got paid, probably a lot of money, to write this?
>Goldman Sachs warns that datacenter investments may fail to pay off if the industry is unable to monetize AI models
Sounds rational, given the increasing lack of evidence of service improvements.
> but hedges its bets by saying that demand could also overwhelm available capacity by 2030.
Also sounds reasonable; the hype is driving up “demand”: you mustn’t miss this bandwagon…
As we know there is a lengthening lead time on both building datacentres (construction lead-times) and filling them with “AI” ready servers (chip production lead times and shortages).
So both statements look like being true.
Bottom line 1: if you haven’t already got your AI datacentre up and running, you’ve largely missed the bandwagon and being able to cash-in on it.
Bottom line 2: unless you have a clearly identified opportunity for AI, best place a watching brief on it and just focus on improving your customer focus and experience, which will probably deliver greater margin improvement and retention than upsetting everything in the rush to implement AI everywhere.
Many LLMs are actually BETTER on a local machine. They're slightly slower than when the 'free' AI isn't under peak load, but faster than when it is under load from millions of queries.
Also Local LLMS are as censored as you want them to be......no US company deciding that today pictures of cucumbers are too racy to be generated.
Well given, the sorts of technology being discussed such as satellites beaming sunlight to earth. Could explore using the lower temperatures of the atmosphere (mesosphere and below) as a source of cold air for cooling…
This would require some very tall structures which could have lifts attached, I think these might provide a suitable jumping point…