But when you actually walk into enterprise environments, a pattern is emerging:

Massive, centralized “AI factories.”
Big iron. Dense GPU clusters. Built as if every workload looks like model training at scale.

That’s usually when I get suspicious.

Because most enterprise AI doesn’t look like that at all.

Enterprise AI workloads are:...

I pulled fifteen years of my own data—emails, tweets, conversations. Over 100,000 messages. Tens of thousands of public posts. The raw material of how I think, how I communicate, and how I’ve built a business.

The goal was simple.

I wanted to understand what actually works. What leads to a deal closing? What causes something to stall? What patterns exist that I’ve...

Not because they don’t work. Because they aren’t built to operate under constraint.

That series lives on thectoadvisor.com. This post is a pressure test of that thinking against a specific system.

I’ve been spending time with OpenClaw — one of the more compelling examples of where agentic AI is heading. Autonomous workflows, dynamic tool use, reasoning loops that ...

I recorded a conversation at GTC with Glenn Dekheyser from Equinix and Luke Norris from Kamiwaza.

The audio didn’t make the cut. Too much background noise, too much chaos on th...

It’s not that the technology wasn’t impressive. It’s not that NVIDIA doesn’t understand AI.

It’s that GTC wasn’t about the enterprise at all.

Take the GB300 “workstation” at ~$170K list.

If you evaluate it as a workstation, a developer system, or an enterprise building block—the pricing and form factor don’t make sense. Limited local...