Former NVIDIA robotics executive says the sector is still in its Lego era

No single breakthrough yet

Amulya Vishwanath says robotics has not reached a ChatGPT-like turning point because many of its basic components are still being rebuilt. The former NVIDIA executive, who spent seven years leading product marketing for the company’s robotics platforms, describes the field as being in a “Lego era.” Her list includes actuators, robotic hands, software and safety standards, all of which must work together in physical environments.

That assessment challenges the idea that one general foundation model will soon make much of today’s specialized robotics development unnecessary. In TechCrunch’s Equity interview, Vishwanath does not reject progress in AI models. Instead, she argues that embodiment adds constraints that a software-only breakthrough cannot resolve by itself. The published interview summary presents this as her industry and investment view, not as a measured consensus or a technical benchmark.

Physical AI beyond humanoid robots

Vishwanath now runs Techable VC, an early-stage firm investing in physical AI across robotics, materials science and life sciences. She defines the category broadly enough to include molecules, materials, medicines and machines on factory floors. That framing shifts attention away from humanoid demonstrations alone and toward systems that interact with the physical world in different ways.

Her concept of purposeful or “conscious” automation centers on large, specific problems. TechCrunch highlights family-owned factories that cannot recruit enough workers and surgeons facing burnout as examples discussed in the interview. The investment case is therefore tied to a demonstrable operational need rather than automation for its own sake.

Vishwanath also says a venture investor’s network can become part of a startup’s competitive advantage. She points to relationships built during her NVIDIA career as useful for technical due diligence and introductions to potential customers. The interview additionally covers differences between American and Chinese strengths, although the available article does not provide enough detail to turn those remarks into a country-by-country comparison.

What the interview does and does not establish

The story is a founder-investor perspective based on a TechCrunch interview. It identifies unresolved dependencies and a broad investment thesis, but it does not quantify how far individual robotics segments are from commercial scale. Nor does it prove that a unified robotics foundation model cannot emerge. Its strongest conclusion is narrower: progress in models does not remove the need for reliable hardware, integration, safety and practical deployment, so the sector’s next major advance may come from coordinated improvement across several building blocks rather than one model release.