I’ve spent the last two weeks playing with Google Antigravity and Gemini, and honestly? My brain is still processing how fast things are moving.
I got tired of our “powerful but clunky” CRM—too many fields I never use, too much friction. So, I decided to “chat” my way into building a custom one. Lead management, quote tracking, project categorization—all done through “Vibe Coding.” I tell the AI what I want; it builds, it debugs, it even suggests better logic.
Now, I have a background in coding, so I know exactly how painful and tedious it is to build a system from scratch. The environment setup, the dependency hell, the database architecture… it’s usually a grind. But doing it this way? It felt like I was cheating. It feels like having a senior developer sitting right next to me 24/7.
But here’s the kicker for my industry partners: When the barrier to software development drops to zero, the value doesn’t disappear—it shifts. It moves from the “Cloud” back to the “Edge.”
Everyone is talking about GPU clusters and HBM for training. But the real, long-term disruption is in Inference.
Industrial controllers, autonomous vehicles, robotics—they can’t wait for a round-trip to the cloud. They need to think locally. And that’s where the “physical foundation” (what we do in Industrial Memory) becomes the ultimate bottleneck.
A few things I realized while “hand-cranking” my CRM:

Endurance is everything: AI updates local models constantly. If you’re using consumer-grade storage in an industrial robot, it’s going to burn out fast.

Latency = AI Speed: If your storage is slow, your AI’s reaction is slow. Simple as that.

The 10-Year Gap: AI models change every month, but industrial gear lasts a decade. Bridging that gap is where the real engineering happens.

My takeaway? The “Software Era” of bloated, expensive SaaS is being rewritten. But the “Hardware Era” is just getting started. AI is pushing value back to the infrastructure. We aren’t just selling components anymore; we’re building the “body” that allows these AI “souls” to actually function in the real world.

P.S. Yes, I used AI to help refine my thoughts for this post—because if you aren’t using it yet, you’re working too hard.

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