Ex-Nvidia insider explains why robotics lacks a ChatGPT moment
Amulya Vishwanath, ex-Nvidia robotics product marketing lead, says robotics is in its Lego era, differing from beliefs about a ChatGPT-style breakthrough.

Stock photo for illustration only, not from the actual event
- Ex-Nvidia robotics marketing lead says robotics is currently in its Lego era
- The viewpoint challenges beliefs that robotics is on the verge of a ChatGPT moment
- Vishwanath founded Techable VC to invest in physical AI across robotics and life sciences
- The discussion was featured on TechCrunch's Equity podcast hosted by Dominic-Madori Davis
Amulya Vishwanath, who spent seven years leading product marketing for NVIDIA’s robotics platforms, stated that the robotics industry is currently navigating its Lego era, noting that foundational building blocks such as actuators, robotic hands, software, and safety standards are still undergoing reconstruction.
This perspective contrasts directly with those who argue that robotics, powered by general foundation models, is on the brink of experiencing its own ChatGPT moment, reminiscent of the shockingly capable chatbot's launch in late 2022. Earlier this year, General Intuition CEO Pim de Witte mentioned on Equity that a single general foundation model would render much of today's specialized robotics work redundant.

Stock photo for illustration only, not from the actual event
The phrase Lego era highlights a developmental phase where foundational hardware and software components must still be assembled modularly piece by piece, unlike mature software ecosystems that can scale instantly through unified platforms.
On this episode of TechCrunch’s Equity podcast, Dominic-Madori Davis caught up with Vishwanath to discuss where she is deploying her initial checks as the founder and managing partner of Techable VC. They also explored her insights as one of the earliest female executives to spin out of Nvidia and launch an early-stage firm.
Techable VC's investment thesis centers primarily on physical AI, targeting sectors spanning robotics, materials science, and life sciences.
Source: TechCrunch
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