Amulya Vishwanath on the LEGO Era of Physical AI

Vishwanath, who spent seven years at Nvidia before launching her own firm, views the current landscape as a period of assembling building blocks. Engineers are focusing on fundamental robotic elements like actuators and specialized hands, treating them as modular pieces that will eventually coalesce into advanced, high-utility machines. She draws parallels to the Industrial Revolution and the early internet, suggesting that the maturation of physical AI is a matter of sequence rather than immediate, overnight disruption.

Beyond hardware assembly, Vishwanath identifies human capital as the primary bottleneck for the U.S. market. With top-tier talent gravitating toward industry giants like Anthropic and Nvidia, her firm positions itself as a connector for early-stage founders. By leveraging the professional network she built during her time at Nvidia and Interconnect Systems, she aims to provide startups with the specialized personnel necessary to remain competitive against better-resourced incumbents.