Jensen Huang Just Described My Exact Setup on the All-In Podcast

Jensen Huang just described my exact setup on the All-In Podcast. I don’t think most people caught what he actually said.

He wasn’t talking about chatbots. He was describing a computer.

Memory. Skills. Resource management. Scheduling. I/O. An API that runs applications. Those four elements, Jensen said, “fundamentally define a computer.”

I rewound that part. Twice.

Because he’s not being philosophical. He’s being literal. We now have, for the first time, a personal AI computer. Open source. Runs everywhere.

Jensen laid out three inflection points over the last two years. ChatGPT made generative AI accessible to everyone. Grounded models and reasoning (o1, o3) made it useful enough to drive real revenue. Then agentic systems, Claude Code first, OpenClaw second, made the culture realize what an AI agent actually is.

But the third one is different from the first two. ChatGPT and grounded models were improvements to the same thing. Agentic systems are a new category entirely.

When your AI manages its own memory, runs cron jobs, spawns sub-agents, decomposes tasks, connects to external services, and exposes an API for running what Jensen calls “skills,” that’s not a tool anymore.

That’s a computer.

It is the same shift I meant when I wrote that a coding agent is not a coding tool.

I’ve been building exactly this. A personal AI system with long-term memory, a skills library, scheduled jobs, I/O to Slack and Discord and Gmail, task decomposition, agent spawning. It runs my morning operations, triages my inbox, preps my calls, drafts my content, iterates my decks. All autonomously.

Hearing Jensen describe the same architecture on All-In to Chamath, Sacks, and Friedberg validated the whole thesis.

The part that should make every founder pay attention: Jensen also said agentic software has access to sensitive information, can execute code, and can communicate externally. All three at once is dangerous. Governance is the real product problem now. Not building the AI computer. Building the controls so you can actually trust it.

One more thing from the episode. Jensen said if a $500K engineer isn’t consuming at least $250K worth of tokens, he’d be “deeply alarmed.” If it was only $5K: “I will go ape.”

That’s NVIDIA’s CEO telling you tokens are not a cost. They’re leverage.

We’re not in the “AI tool” era anymore. The shift already happened. Most companies just haven’t noticed yet.

What are you building with agentic systems? Not the chatbot wrapper. The actual computer.