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Former Nvidia executive turned venture capitalist Amulya Vishwanath: “Physical AI Is Still in Its LEGO Era.” Posted on : Oct 20 - 2026
Physical AI Is in Its “LEGO Era,” Says Former Nvidia Executive Turned VC
 
The robotics industry is approaching a major turning point, with many experts anticipating a “ChatGPT moment” that could accelerate the adoption of physical AI.
 
Amulya Vishwanath, founder and managing partner of Techable Ventures, a venture capital firm focused on physical AI, believes the industry is still in its early building phase. After nearly seven years in product marketing at Nvidia, along with earlier experience in engineering and technology, she is now investing in the next generation of robotics innovation.
 
Vishwanath describes today’s physical AI landscape as being in its “LEGO era,” where companies are developing the foundational technologies needed to make advanced robotics possible.
 
These building blocks include robotic hands, actuators, foundational software, and other essential components. As these technologies improve and become easier to integrate, they could enable more sophisticated robots designed for both general-purpose and specialized tasks.
 
The process resembles earlier technological revolutions, including the rise of the internet and the Industrial Revolution. Individual innovations gradually come together to create transformative systems, and physical AI could follow a similar path.
 
However, technology alone will not determine which companies succeed. Vishwanath emphasizes that access to exceptional talent is another critical competitive advantage.
 
With leading AI companies such as Nvidia and Anthropic attracting top professionals, helping startups connect with skilled talent is becoming increasingly important. Through her experience and industry network, Vishwanath aims to help founders build stronger teams and compete in this rapidly evolving market.
 
As foundational robotics technologies continue to mature, the industry could move closer to the long-anticipated breakthrough that brings physical AI into wider use.
 
The key takeaway: The next major robotics breakthrough may not come from a single invention, but from combining the right technologies, talent, and innovations into systems that can operate in the real world.