Kentzw
09-17 13:53

#AI Slowdown — Or Just a Reset? 🤖

The interesting part of the AI story isn’t that some projects are being paused.

It’s where the engineers are being redirected.

If roughly 25% of production engineering shifts toward safety audits, that could temporarily slow the pace of frontier-model development. But it doesn’t necessarily mean AI spending is stopping.

And the chip market seems to be betting on exactly that distinction.

🟢 AMD +1.65%

🟢 Nvidia +0.82%

🟢 Broadcom +0.07%

The question I’m asking is:

Are companies slowing AI development — or becoming more selective about where they spend billions?

If budgets remain intact, chip demand could continue even with fewer experimental projects.

But if safety, regulation and efficiency start becoming bigger priorities, the next phase of AI could look very different from the last one.

My take: the AI boom may not be ending. It may be entering its efficiency phase.

Would you rather own the companies building the models — or the companies supplying the infrastructure they all need? 👀

Jensen Huang Drops a Number — Why Did AI Hardware Stage a Full Comeback?
Jensen Huang said Nvidia will ship twice as many chips next year as this year, and that AI safety matters but cannot be regulated the way social media was. AI hardware ran: AMD +6.36% to $545.09, Marvell +4.81% to $240.76, Nvidia +2.54% to $219.34, Broadcom +2.29% to $347.30, with the Philadelphia Semiconductor Index up over 3%. That is a third straight up session for chips, a rebound that started in the same week the slowdown argument was loudest. A week of talk finally has a number attached. But the number is the company's own forecast, not signed orders. Is one line enough to hold a rally?
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Comments

  • wavyix
    09-17 14:43
    wavyix
    If a quarter of engineering gets diverted, that is already budget drag. Chips can still hold up near term, but the market feels too casual about the productivity hit
  • peppywoo
    09-17 14:43
    peppywoo
    If AI is shifting into efficiency mode, MI300X style perf-per-watt matters more than raw scaling. I’d lean infrastructure here — budgets usually get trimmed at the model layer first
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