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12 thoughts on “Remember Nvidia?

  1. It would be an interesting exercise to calculate the depreciation schedule of the Mags for all this past capex plus the trillions estimated for the next couple of years. Given the lightning fast product cycles, even a one year writeoff seems too long. If the excessive growth cycles aren’t met, positive cash flows might be another AI hallucination.

  2. Every software developer in the know is spending $100 a month on AI coding assistants. I will keep spending, my spending will increase, I got my intern a subscription, etc etc

    1. ‘From what I can see, software as a whole accounts for 5% of GDP. Not sure what perecentage of that is writing software. So even if it is makes coding remarkable faster, the TAM is pretty low, no?

      Is it another example of “where’s the beef?” As in ROI to the LLM providers?

      1. Fair point. I am just giving my example. In my world, we are also using it to draft basic consulting agreements with third parties.

        Further, there will be a whole new class of applications that use AI to provide a superior product. For example, ingesting your emails to help you run your small business by suggesting next steps, reuters is injecting ai into their lawyer tools to generate the first pass at a legal document.

        I’m generally not one to jump on the bandwagon. Never bought into crypto, ask h, never the metaverse or ar gaming, but I think llms are a pre big deal and will just become a thing we use everywhere provided the climate and political situation holds, which…

        1. For sure it will be useful, just as its forebearers have been. But the payback load simply seems to enourmous.

          A recent study indicating that AI is giving a boost to the accuracy and throughput of radiology readings has not led to a dop in demand for radiologists. That astonished me.

          1. But perhaps that did not include demand for radiology image readers in India? And the same for junior coders?

            It strikes me that AI may be a poisoning India’s future.

          2. Add drafting of preliminary legal documents and preparing tax returns as well as, ohmygod, stock analysis.

            So AI may be replacing lower cost Indian labor rather than (fat, lazy & overpaid) US professionals. If that’s the case, how much will US payroll costs be reduced?

  3. Interesting WSJ article last week about AI investment. Author thought AI spending would need to get to about 5X current total software spend to cover the costs… A lot of the expense is debt he/she said.
    Another interesting aspect to this is that tech is now capital intensive. Old investment selling point was that it was not capital intensive.
    Time will tell.

  4. Human nature, people get fired for being an “outlier” whether it is in the “next big thing” in a business (AI investment, etc) or in the investment world where “everyone has to own” XYZ (so safer to closet index and if you go down with the ship you are with everyone else so everyone can’t lose their jobs – the old saying “No one gets fired for owning IBM” – ofc that was 50 years ago lol). Herd mentality will always be alive and well.

10th Anniversary Boutique

01/01/26