The Highest Conviction Physical AI Play

The Physical AI Trade Is Heating Up. Most People Are Still Asleep At The Wheel.

The Physical AI Trade Is Heating Up.

The McKinsey humanoid supply chain mapping report is making the rounds. Edge AI & robotics are trending on every FinX account. Thematic investors are scrambling to figure out where the real money is in Physical AI, the part of the AI revolution moving through the physical world in robots, autonomous vehicles, and intelligent machinery, not running on a GPU rack in a data center.

I have worked tirelessly to find where the durable, defensible, asymmetric upside actually lives inside the Physical AI supply chain. Everyone can find the robot manufacturers and the autonomous leaders. The harder question is: who do those leaders depend on that the market hasn’t figured out yet?

I’ve spent the last 12 months studying this trade with the kind of obsessive depth that most people won’t. That means breaking down individual company earnings reports line by line. Pulling and reading full earnings call transcripts, not summaries, the actual transcripts. Listening to live earnings calls. Mapping the humanoid bill of materials component by component to understand where the bottlenecks and the margin pools actually sit. Studying Physical AI applications beyond humanoids: autonomous logistics, precision agriculture, robotic surgery, industrial automation. Reading every industry market report I could find. Building financial models from the ground up and pressure-testing every key assumption.

The conclusion I keep arriving at is the same one. There is one company that sits at the intersection of every meaningful Physical AI application.

In this report, available to paid subscribers, I lay out the full thesis for why this is my highest conviction Physical AI play. That includes a complete valuation analysis of the core business, a revenue model with base and bull case scenarios, a breakdown of the strategic moat and why switching costs are essentially prohibitive, and a critical analysis of the key inputs, catalysts, and risks that every serious investor in this name needs to understand.

If you’ve been looking for the Physical AI play that isn’t already on everyone’s radar, this is the one.

The company is named below the paywall.

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If you want the full thesis on this name, and every Physical AI leader I identify before the market figures it out, subscribe to 9 Ventures.

I’m building out a concentrated Physical AI research portfolio, and this is the first deep-dive of several. Each one gets the same treatment: months of prep, institutional-quality modeling, IR-level diligence, and a clear-eyed view of where the real money sits in the supply chain. No hype. Just high-conviction original research on names the crowd hasn’t found yet.

The Physical AI Supercycle is just getting started. The window to get positioned ahead of the consensus is still open. It won’t be for long.