to truly appreciate physical ai, one must absolutely work in the trenches..
It's still too hard to deploy a robot
They argue physical AI requires real-world testing over simulation
to truly appreciate physical ai, one must absolutely work in the trenches..
It's still too hard to deploy a robot
Users showed respect toward robotics startups targeting the 88% of US factories lacking automation by offering a salute acknowledging the initiative.
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The difference between automation and autonomy!
Long tail of high-mix low volume jobs combined with low overhead of systems integration is the biggest unlock for American Dynamism.
However a lot of focus still remains on large enterprise, rather than MSMEs where over 40% of the OECD GDP sits and majority of physical work happens!
I spent the last week in over a dozen pitches with robotics companies across Silicon Valley, NY and Europe...then I looked at the US Census Bureau Data
Turns out 88% of US manufacturing plants don't own a single robot...and that's the opportunity Founders are seeing.
Despite the endless deluge of humanoid robot demos and "AI factory" hype in our feeds, nearly 9 out of 10 American factories look exactly the same as they did 20 years ago.
Manual labor, mechanical machinery, a retiring workforce and challenges in filling roles.
The reasons why they haven't been "updated" historically breaks down into two clear buckets that I call:
1. The Integration Iceberg: A robot arm might cost $25,000 and has come down in price, but the custom tooling, safety cases and software integrations to make it work cost $125,000.
2. The Agility Tax: A traditional robot does one thing a million times. But the average US shop does "high-mix, low-volume" work. To reprogram a robot for a new part has required an expensive software engineer and could take days depending on engineer availability.
The next generation of massive robotics outcomes won't come from building shinier hardware for the 12% of factories that are already automated.
It will come from the Founders solving the integration and business model friction for the 88% that aren't.
If your GTM strategy doesn't solve the 18-month ROI math of a shop owner in Ohio who needs financing, fast onboarding and the ability for the robot to handle a variety of tasks, then you're likely going to struggle.
If you're working on a robotics business solving our countries biggest talent bottlenecks, I want to chat.

@animesh_garg 🫡