Don't Outsource Your Intelligence

"Your company's intelligence is who you are. You can't possibly not continue to control it… outsourcing that intelligence makes no sense to me." Jensen Huang, NVIDIA

Every company is built on a foundation of specialized intelligence — the know-how, the judgment, the accumulated context that makes it different from its competitors. As you pour that intelligence into AI systems, one question decides whether you're building an asset or a liability: who owns the result? When your crown-jewel workflows run entirely inside someone else's closed model, on someone else's infrastructure, you've quietly handed your most defensible asset to a vendor. Your intelligence now lives on rented land. That's the control problem, and it's strategic, not paranoid. Draw the line: general vs. specialized This doesn't mean build everything yourself — that's as foolish as running your own power plant. The move is to draw a clear line between what's a commodity and what's you. - Rent it (general skills) — Writing, summarizing, coding — skills every company needs and nobody differentiates on

• Best served by frontier APIs; let the vendor carry the R&D cost

• Swap providers freely — no lock-in on a commodity

• Your proprietary workflows, data, and hard-won methods

• The intelligence competitors can't buy or copy

• Run it on models and infrastructure you control

• Open-weight model — one whose parameters you can download, run, customize, and own.

• Closed API — a model you can only rent through a vendor's endpoint; you never hold the weights.

• On-prem — running software on hardware you control, inside your own walls.

• DGX Spark — a desktop-class AI computer that can run capable models right next to your laptop.

Sovereignty is data and compute

Owning your intelligence has two halves. The first is the data — obvious. The second is quieter but just as important: where the compute lives. Open-weight models changed the math here, because for the first time you can run frontier-class intelligence on hardware you own.

"A friend built one for DGX Spark — now you have agents running right next to your laptop. Or on a DGX Station, or your own supercomputer, or the cloud."

That portability is the sovereignty play. When your crown-jewel agents run on an open-weight model you can host anywhere — a desktop machine, an on-prem cluster, or the cloud — your intelligence isn't hostage to any one vendor's pricing, policies, or uptime. You can run it inside your own walls where regulators or security demand it, and move it when it makes sense.

The exercise

Take your AI roadmap and sort every use case into two columns: general (rent) and specialized (own). The general column should be most of the list — and that's fine. But guard the specialized column jealously. That's the intelligence that makes you you, and it's the raw material for the crown-jewel agents we build next.