i’m seeing some estimates stating ram prices are going to jump 400% by the end of june 2026. major price increases are inbound.

here is some of the information i’m seeing:

  1. Memory shortage deepens, extending boom for Korean chipmakers
  2. Samsung expects memory shortage to worsen through 2027 and last until 2028
  3. SK Hynix CEO sees worst memory shortage in 2027, demand to outstrip supply beyond 2030
  4. SSD and memory price to remain high at least until 2029?
  5. Micron: Memory Crunch Outpaces 20% Supply Growth
  6. Price of SSDs in 2026: why it’s a panic (and when it will calm down)
  7. The Rising Cost of RAM & SSDs: What’s Happening, Why It’s Happening AGAIN and What Comes Next
  8. Riding the AI Supercycle: Navigating the 2026 Memory & Storage Market
  9. Electronic Pricing Pressures Will Last Beyond 2026
  10. Memory’s $200B Inflection
  11. Micron Is Up 900%. Here’s Why the AI Memory Trade May Still Have Room to Run
  12. Memory & HBM
  13. Prediction: Micron Could Be the Most Important AI Stock After Nvidia
  14. Memory Will Cost Cloud Giants More Than GPUs by 2027: NVIDIA Uses That to Justify 15% Server Hike
  15. Gartner Says Surging Memory Costs Will Reduce Global PC and Smartphone Shipments in 2026

prices may never come down again.

“post consumer computing”

  • LilB0kChoy@reddthat.comEnglish
    12·
    2 days ago

    My thought is the AI market won’t crash because especially in data engineering and devops there is an inherent worth.

    Did you see Anthropic’s IPO filing? The company is upside down and there’s so much commingling between 3 or 4 companies that when one goes the rest will topple like dominoes.

    What won’t crash are the billionaires at the top. See, they’re going to cash out with piles of money and leave the index fund investors (e.g. the every day person) holding the bag.

    • Mordikan@kbin.earth
      1·
      1 day ago

      AI isn’t anywhere close to being a pump and dump scheme as you speculate.

      The reality is it would be closer to the dot com bubble (if anything at all). Most of the damage would be in physical infrastructure like datacenters which would be an asset write-off. However, there is tangible profitability in AI which we didn’t see in dot com. That would imply if the demand does not exist (which we know it does looking at DevOps, BI, etc) that should things go south, it would be a market correction and not a market collapse.

      Again, the weak point and therefore the most hurt would be overvalued segments which is basically the datacenter infrastructure, but that doesn’t imply a collapse/pop only a downturn and correction.

      • zebidiah@lemmy.caEnglish
        2·
        18 hours ago

        The difference with the dot Com bubble is that we built the modern internet on it’s ruins, all that fibre that went into the ground and stayed dark is now lit up and we are all benefiting from it. The gpus and ram going into datacenters is a consumable resource that will be burned out and useless for hobbyists, these aren’t going to be the next gen of xeon chips hitting the market as soon as someone brings a cheap motherboard to market that sockets them…

        I think nothing under the sun is new and we’ve all seen all this before. Specifically where I see a lot of parallels is with GPS hardware manufacturers and also Dropbox.

        Back in the day Tom Tom and Magellan and Garmin ruled the world, then iPhone came out with maps and they evaporated. Dropbox was hugely successful and a revolutionary offering, until email providers offered the same thing for free and with more convenience.

        The tech is super cool, and it’s only going to get better but don’t pay attention to the fools who run AI companies, they will go down and they will crash the economy. I would rather trust Chinese AI than anything clammy Sam Altman and Wario try to sell me on…

    • hyperion626@lemmy.worldEnglish
      1·
      1 day ago

      There is no way it doesn’t get propped up by the government at this rate. AI is the next big weapon in, well, everything digital. And they won’t want other countries having the biggest stick.

      • LilB0kChoy@reddthat.comEnglish
        11·
        1 day ago

        There is no way it doesn’t get propped up by the government at this rate.

        There absolutely is a way. It starts with people hold their governments and representatives accountable.

        The AI companies can and absolutely should fail. AI itself isn’t going anywhere. That Genie is out of the box.

        • Mordikan@kbin.earth
          3·
          1 day ago

          “It starts with people hold their governments and representatives accountable”.

          That is basically a non-answer and doesn’t mean anything. The reality is AI is classified a national security priority and therefore has the US govt to prevent it from running out of money.

          You could argue that the US has already lost the AI race to China, though. The race isn’t won by building the gigantic LLMs. It isn’t about 1 million token context windows or 1 trillion parameter models. It’s about sentiment. Deepseek and the other distilled models take a novel approach with MoE and strict use case training, but ultimately its the willingness of people/companies to use the AI that results in the win.

          US adoption is still the highest world-wide, but China is starting to take the lead on that and have they have stronger willingness to use it.

          • LilB0kChoy@reddthat.comEnglish
            12·
            1 day ago

            That is basically a non-answer and doesn’t mean anything.

            You struggling to understand a statement doesn’t make it a non-answer.

            The reality is AI is classified a national security priority and therefore has the US govt to prevent it from running out of money.

            Your conflating the current technology AI and AI companies.

            but ultimately its the willingness of people/companies to use the AI that results in the win.

            Ah, you’re one of those people.