AI Chips Are Hard. Memory Is Harder. - SEMIVISION - Substack

The AI tools aren't failing because you picked wrong. They're failing because the entire AI supply chain — from the chips to the memory to the software — is genuinely harder to build than anyone admi

The AI tools aren't failing because you picked wrong.

They're failing because the entire AI supply chain — from the chips to the memory to the software — is genuinely harder to build than anyone admits publicly.

I know you've probably already spent money on a tool your team quietly stopped opening. That $200/month sitting there unused isn't a reflection of your judgment. It reflects an industry that oversells finished products built on unfinished foundations.

Here's what that means for you practically: AI tools built on unstable infrastructure get patched, repriced, and pivoted constantly. That's why half the "game-changing" tools from 18 months ago have already changed their pricing, their features, or their focus. You weren't wrong to hesitate.

The insight that actually helps you right now — stop evaluating AI tools by their demo. Evaluate them by how long they've been solving your specific problem, and whether their customers look like your business.

One question before you buy anything: Can the vendor show you a case study from a company your size in your industry with measurable results from the last 12 months?

If they can't, keep walking.

What's the one AI tool you bought that your team never actually adopted — and what reason did they give you?

#AIStrategy #SmallBusiness #AIImplementation #BusinessGrowth

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It Is a Manufacturing System. Unlike logic semiconductors, advanced DRAM production is almost entirely based on the integrated ...