NVIDIA (NASDAQ: NVDA) CEO Jensen Huang has identified humanoid robots and labor automation as a $40 trillion total addressable market, drawing significant investor attention to the physical AI sector.

On the Animal Spirits podcast, analyst Derek Yan argued physical AI is “potentially bigger” than EVs or smartphones, with Waymo cited as live proof that the underlying autonomy stack already functions in real-world conditions.

Capital is rotating into the physical AI trade now, before the broader market has fully priced in the opportunity across the robotics and automation supply chain.

Cognex (NASDAQ: CGNX) is the machine-vision standard for factory floors and warehouses, shipping its In-Sight 6900 AI vision platform powered by NVIDIA and the In-Sight 3900 powered by Qualcomm in Q1.

Cognex reported Q1 FY26 revenue of $268.44 million, up 24.3% year over year, with adjusted EPS of $0.34 beating the $0.25 estimate, and Q2 guidance pointing to adjusted EPS of $0.40 to $0.44.

CEO Matt Moschner stated: “Our latest AI vision products reinforce our technology leadership and objective of becoming the #1 provider of AI-powered machine vision.”

NVIDIA operates as the central platform of physical AI through its DRIVE Hyperion partnerships across Hyundai, Kia, Uber, BYD, Geely, Isuzu, and Nissan, alongside the Isaac GR00T humanoid foundation model and Cosmos world models for synthetic training data.

Huang told investors NVIDIA has “line of sight to projects requiring tens of gigawatts of NVIDIA Corporation AI infrastructure in the not-too-distant future,” with Data Center revenue reaching $39 billion, up 73% year over year.

Tesla (NASDAQ: TSLA) represents the most vertically integrated physical AI bet in public markets, combining Optimus humanoids, FSD, Robotaxi, Cybercab, and a real-world fleet generating training data at scale across its production operations.

Tesla’s Q1 FY26 revenue came in at $22.39 billion, up 15.8% year over year, with FSD active subscriptions hitting 1.28 million, a 51% year-over-year increase representing a software annuity layered on top of its hardware business.

Symbotic (NASDAQ: SYM) already operates end-to-end robotic warehouse systems for Walmart and a growing roster of retailers, supported by the SoftBank-backed Exol joint venture targeting the warehouse-as-a-service market.

Symbotic posted Q2 FY26 revenue of $676.48 million, up 23.1% year over year, with 70 active systems deployed, adjusted EBITDA of $77.75 million more than doubling year over year, and a contracted backlog of approximately $22.70 billion.

CEO Rick Cohen said “customers across several verticals are now realizing tangible value from our end-to-end automation systems,” with that backlog representing multiple years of locked-in revenue regardless of broader macroeconomic conditions.

Serve Robotics (NASDAQ: SERV) is a pure-play physical AI small cap whose Gen3 sidewalk robot runs on NVIDIA Jetson Orin compute, operating across 44 cities in 14 states following its Diligent Robotics acquisition.

Serve Robotics reported Q1 FY26 revenue of $2.98 million, up approximately 578% year over year, with daily active robots jumping to 812 from 73 a year ago and management reaffirming roughly $26 million in 2026 revenue guidance.

CEO Ali Kashani stated: “We are leading the development of Physical AI in the real world, operating across multiple physical domains while building towards a unified autonomy platform.”

Management frames the target as a sub-$1 per delivery cost versus $8 to $10 with human couriers, within what it describes as a $450 billion robotic and drone delivery opportunity by 2030.

The stock sits at an $8.84 market price against an $18.45 analyst target with 8 Buy ratings and zero Holds or Sells, while carrying a market cap of approximately $750 million despite deploying autonomous fleets across dozens of cities.

Together, Cognex, NVIDIA, Tesla, Symbotic, and Serve Robotics represent the full physical AI stack spanning vision, compute, vehicles, warehouses, and last-mile autonomy in direct alignment with Huang’s $40 trillion thesis.