→ AquaBeam robotic systems for minimally invasive procedures
The playbook:
→ Semiconductors enabled the software AI wave
→ Physical AI needs sensors, actuators, and edge compute at scale
→ This is the next infrastructure supercycle — just moving atoms, not bits
Not financial advice.
The clearest sign you can get 😳
“Physical AI is the next wave.”
— Jensen Huang.
Here’s the complete Physical AI list - save it:
$NVDA: GPUs, Jetson processors, Omniverse digital twins and Isaac stack for physical AI robots.
$OUST: digital LiDAR sensors for robot 3D mapping and navigation.
$TSLA: Optimus humanoid robots for general-purpose physical tasks.
$SYM: AI mobile robot fleets for warehouse automation.
$SERV: AI sidewalk robots for last-mile urban logistics.
$TER: collaborative robot arms for AI manufacturing automation.
$CGNX: machine vision cameras for industrial robot perception.
$AMBA: low-power AI chips for robotic computer vision.
$AEVA: 4D LiDAR sensors for robot distance, velocity and mapping.
$HSAI: solid-state LiDAR sensors for autonomous robot perception.
$ISRG: AI-assisted da Vinci surgical robots for precision physical procedures.
$ZBRA: AI autonomous mobile robots for warehouse logistics automation.
$ROK: industrial automation platforms integrating AI robotics control.
$ADI: sensors and power chips for robot perception and actuation.
$ONDS: unmanned robotic systems for aerial and ground physical AI.
$SYK: Mako AI robotic-arm systems for surgical navigation.
$PRCT: AquaBeam robotic systems for minimally invasive prostate procedures.
$LAZR: Luminar LiDAR sensors for 3D robot and autonomy perception.
$MBLY: Mobileye AI vision systems for robotic navigation.
$TDY: machine vision cameras and imaging for industrial robot guidance.
-BP
Please note: this is not financial advice.