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This will have general inflationary consequences for consumer products (phones, consoles, laptops, etc.). On top of current uncertainties regarding oil and fertilizers, I think 2% inflation in the US and Europe would be a very optimistic target.
The fact that consumer-level DDR4 is getting more expensive makes absolutely no market sense to me.
I am guessing there is some fluidity between these markets. If consumers get priced out of the DDR5 market, the consumer DDR4 price increases as well. It is the same with cars, if the price goes up for new cars, it usually increases for used car market as well. Same with energy, price goes up for oil, all things beeing equal, other energy carries will increase to some degree. Not sure if that's what you've meant...
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That's tech... Moore Law was steadily going until raw CPU got stuck for a few years, switching from single core to multicore then heterogeneous cpus, all those requiring to rewrite software in a scalable manner and then consider newer schedulers switching between performance/efficiency cores and changing CPU freqs. Also, you have Meta and Google investing in simplified performant versions of their stack for developin…
You know that Moore's law is about transistor count? What worked really well for CPU in eg the 1990s was Dennard scaling. That drove the Hz higher. And Dennard scaling is what stopped working. Moore's law is alive and well.
How am I going to buy a computer that connects to AI datacenters now?
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I don't see the AI bubble popping any time soon (as in, not in terms of physical datacenter buildout - stock prices could fall). Even if progress hits a brick wall, we still have multiple years of just expanding out the models we have to more people in more industries.
And if anything, I believe progress has been accelerating. A year ago the SOTA was GPT-5/Opus 4.1/Gemini 2.5 Pro, two years ago Sonnet 3.5. Looking at Opus 5 for SOTA performance and GPT 5.6 Luna for a viable cheap alternative, AI is much more capable now. Honorable mention: GPT 5.6 Sol on Cerebras, capacity limited to a few customers, is supposedly serving 750 tok/s. Compared to 90 tok/s for non fast mode 5.6 Sol, 5…
I don’t think most people are saying it is purely a scam (well, some do but I don’t think they are to be taken seriously). What all these talks about circular financing and VC money are saying is that demand cannot sustain the sector long-term, not that there is no demand. People are certainly happy to pay say $20/month for whatever AI chatbot, but would they still pay if it were $200/month, which is closer to the actual costs.
There are several other details that point towards a unsustainable projections:
- measurable benefits from AI-ifying companies are nowhere near what is commonly believed. AI providers are hoping that they can keep the show going until the models are good enough, essentially faking it until they’ve made it, but that is not a given. It is also unstable because it is susceptible to change in public opinion.
- permits for new datacenters are not going to become easier to get as public opinion keeps turning against them. They will have to concentrate in friendly regions, which will add cost (more demand for the same location, plus interconnection for network and electricity, both of which can easily become bottlenecks).
- the electric grids are not ready for all those planned datacenters, so something will have to give. Building more and more on-site diesel generator in times where oil supply is so constrained and random is not very sustainable either.
- eventually the loans will come due and if earnings do not match there will be a, possibly severe, correction.
If we look at the historical example of the dot-com bubble, the crash was not caused by no demand. It was just caused by over-estimated demand and too much money going to a single sector of the economy. We still use the Internet, and it is still hugely important, but the correction was still severe and real people lost real money.
How am I going to buy a computer that connects to AI datacenters now?
For the skeptical ones: Somewhere people are already being cut off from state and financial institutions without proprietary software with bundled security certificates, applications are bound to collect data on the environment they are used in (other apps) and organizations deliberately limit access to their services or cripple them without their applications (can't do things from a generic web-browser).
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What kind of default risk? What we got in 2008 was central banks (eg Fed and ECB) willfully collapsing nominal GDP in their economies. Have a look at the dot-com bust or Black Monday for comparison.
> willfully collapsing nominal GDP What on earth are you talking about? The credit risk was a very real problem; Kaupthing, Anglo Irish, RBS, Lehman etc.
In 2008 they didn't. Instead they actively tightened monetary policy by eg introducing interest on excess reserves. The ECB even hiked interest rates.
Companies defaulting on debt doesn't need to bring down the economy.
For the US, you can also see how the construction sector had been winding down for years (eg as measured in construction employment) without an impact on overall unemployment. The crisis was entirely avoidable.
See https://www.cato-unbound.org/2009/09/14/scott-sumner/real-pr... for a bit more background.
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Its a way to make sure the delivery takes place. A code is sent to recipient and recipient only gives it to the delivery person once item is handed over. Delivery person cant mark item as 'done' without the code. I've seen Uber Eats do the same thing sometimes.
What’s wrong with a signature?
Take what's currently happening to Flock cameras as an object lesson. People are so fed up with Flock that they're cutting their cameras down en masse, sometimes wiping them clean from entire jurisdictions. Tens of thousands of other people in those jurisdictions are cheering them on, even offering alibis for them before they've been caught. Law enforcement doesn't seem too keen to catch them either. You absolutely can be so hated that the law will not be enforced to protect your property.
If AI companies don't slow down and build some good will, AI data centres are probably at risk. They'd probably have been targeted before Flock were they not harder targets. A higher degree of cooperation and organization will be required to sabotage them, but it would be foolish to believe it won't eventually happen.
Monopolizing memory production for another year suggests that lessons have not been learned, the mad build-out will continue, and we're headed for some truly crazy stuff.