苏36
09-23 12:01
I’d choose A, but I wouldn’t reduce the thesis to “buy more GPUs.”

The bigger shift is that AI agents could turn computing from a tool people actively use into infrastructure that works continuously in the background. Every search, booking, purchase, financial decision, or automated task potentially creates additional inference, memory, networking, and storage demand.

That makes the AI infrastructure trade broader: GPUs matter, but CPUs, HBM, DRAM, SSDs and networking could all benefit as agent workloads scale.

Meanwhile, companies like Airbnb, Uber and Schwab aren’t necessarily becoming obsolete. Their real risk is losing the customer interface. If users increasingly ask an AI agent to “book me a hotel” instead of opening an app, the platform owning the transaction may change.

So I’d rather own the infrastructure layer first—and watch whether consumer platforms can successfully adapt.

@TigerEvents [暗中观察]

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Comments

  • twizzy
    09-23 21:03
    twizzy
    HBM on the inference side still feels underpriced to me. Once multimodal agents stay on all day, memory and networking probably scale harder than people expect
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