The Rise of Physical AI & the Next Phase of Automation

Speaking during the Q2 Market Outlook, VettaFi Research Analyst Rafael Silva defined physical AI as “artificial intelligence that steps off the screen and into hardware.” This transition, he explained, gives robots, vehicles, and smart machines the ability to “sense, navigate, and physically interact with the real world.” 

After years of building the AI brain through large language models, software, and data centers, “we are now entering an era where we are uploading that brain into the physical body,” Silva added.

• Physical AI represents the integration of advanced neural networks into hardware. It is enabling machines to sense, navigate, and interact with the physical environment in real time.
• This technological shift is increasingly driven by structural macro trends, including chronic global labor shortages, aging demographics, and the push for manufacturing reshoring.
• Capturing this trend requires a granular approach to indexing that prioritizes revenue purity and technological leadership over simple market-cap weighting.

Robotics is the primary beneficiary of this transition. Physical AI allows the industry to progress from pre-programmed robotics and isolated machines, to highly adaptable intelligent systems. This also means that they can operate in dynamic shared spaces with humans and other robots. These systems are not tech novelties, Silva said. Instead, he described them as an economic necessity driven by chronic labor shortages, aging populations, and reshoring efforts worldwide.

Importantly, this wasn’t possible just a few years ago. Earlier robots were “blind and laggy,” but advances like edge computing now let machines process data instantaneously, while world models allow them “to see, to feel, to basically understand the physics of the world around us,” Silva explained. 

Shared autonomy enables humans and robots to collaborate. Surgical robotics offers a prime example of this human-machine collaboration. While the machine understands tissue and bone properties, and the limits of where it shouldn’t cut, the surgeon still performs the actual procedure. “We don’t want robots to replace humans,” Silva emphasized. “What we want is people to be able to do jobs where the human qualities are needed.”

For investors, this is not a space where a broad megacap tech benchmark will provide suitable exposure. The indexes underpinning the ROBO Global Robotics and Automation Index ETF (ROBO B) as well as the ROBO Global Artificial Intelligence ETF (THNQ B-) use an in-house scoring system that evaluates revenue purity, market and technological leadership, and capital investment.

Importantly, a world-class team of industry experts drive inclusion and weighting of the indexes. These specialists include winners of the Engelberger Award and directors from leading robotics and AI labs at MIT, UC San Diego, and Carnegie Mellon

Capturing this wave is about identifying “leading players, whether they’re developing the tech or implementing it,” Silva said. Furthermore, he noted that “expert-led research is the only way to make a portfolio forward-looking.”

See more: Wrap-Up From VettaFi’s Q2 Market Outlook Symposium

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