Ex-Nvidia-turned-VC Amulya Vishwanath: ‘Physical AI is in it’s LEGO era’

Foundational robotics components will become more modular and interoperable, similar to LEGOs, enabling faster innovation.

Amulya Vishwanath, a former Nvidia product marketer and founder of VC firm Techable Ventures, believes the physical AI and robotics industry is currently in its "LEGO era." Speaking on the TechCrunch Equity podcast, Vishwanath explained that while many anticipate a "ChatGPT moment" for robotics, the sector is still focused on developing foundational software and building blocks. Similar to how individual LEGO bricks assemble into larger structures, current efforts are concentrating on creating essential components like robotic hands and actuators. Vishwanath, whose firm focuses on physical AI, noted that this foundational development is crucial for future innovation to scale. She also highlighted the importance of talent acquisition, stating that her firm leverages its network to connect robotics founders with top engineers, particularly as talent is drawn to major tech companies.

The "LEGO era" analogy suggests that the current stage of physical AI development is characterized by the creation and refinement of discrete, modular components. This phase is essential for enabling future scalability and complex integrations, drawing parallels to historical technological revolutions like the internet and the Industrial Revolution where foundational elements paved the way for broader advancements. The focus is on building the basic building blocks rather than a singular, revolutionary application.

Vishwanath's emphasis on talent as a key differentiator for her firm, Techable Ventures, highlights a significant challenge and opportunity in the physical AI space. As major tech companies increasingly attract top AI and robotics engineers, early-stage startups face intense competition for skilled personnel. This dynamic underscores the importance of strategic talent acquisition and network-driven support for founders in developing and scaling their robotic innovations.