infrastructureScore 85/100Watch
Vertically integrated manufacturing (Figure, Tesla, Apptronik) now critical advantage to collect embodiment-specific training data at scale
Andrew Kang· Mechanism Capital· Robotics· —· pub 2026-07-29· about Figure AI, Tesla Optimus, Apptronik (TSLA)
“One of the bottlenecks that the industry is currently working through right now is if you're trying to buy 100 robots or 1,000 robots, it's going to be pretty tough... If I have my own manufacturing facility, I can earmark all of those robots just for the sole purpose of collecting data myself. And that's what companies like Figure are doing, what companies like Tesla Optimus are doing, Apptronik as well... I'm not going to have a bottleneck because I don't have to worry about a robot company supplier in China where I'm getting my robots from just not having enough available.”
Why it matters
Owning manufacturing capacity unlocks exclusive access to embodiment-specific training data needed for competitive physical AI models. This creates a structural moat for integrated players and eliminates supply dependency risk.
Investment implication
Non-integrated robotics companies relying on external hardware suppliers face a competitive disadvantage. Watch for acquisition activity or partnerships where AI-focused startups seek to secure dedicated manufacturing capacity.