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Amulya Vishwanath: robotics remains in a 'Lego era', not yet at a 'ChatGPT moment'

Amulya Vishwanath, who led product marketing for NVIDIA’s robotics platforms for seven years and is now founder and managing partner of Techable VC, says the robotics industry is still rebuilding fundamental components — actuators, robotic hands, software and safety standards.

Amulya Vishwanath: robotics remains in a 'Lego era', not yet at a 'ChatGPT moment'

Amulya Vishwanath, who spent seven years leading product marketing for NVIDIA’s robotics platforms, says the robotics sector is currently in a “Lego era.” She argues that many of the foundational pieces — actuators, robotic hands, software and safety standards — are still being rebuilt.

Why that perspective matters

Vishwanath’s assessment contrasts with predictions that robotics is on the verge of a “ChatGPT moment,” a sudden, broad transformation similar to the impact ChatGPT had after its late 2022 launch. Proponents of that view believe a general foundation model could rapidly reduce the need for many of today’s specialized robotics solutions.

The counterargument from General Intuition

Earlier this year, Pim de Witte, CEO of General Intuition, told TechCrunch’s Equity podcast that a single general foundation model could make much of today’s specialized robotics work redundant and serve as that disruptive moment. Vishwanath disagrees in practice, emphasizing that physical and safety-related infrastructure must be addressed before a foundation model can deliver comparable, wide-reaching change in robotics.

The interview and her current role

Dominic‑Madori Davis spoke with Vishwanath on an episode of TechCrunch’s Equity podcast, where they discussed where she is writing her first checks as founder and managing partner of Techable VC. Her early-stage firm focuses on investing in physical AI, including robotics, materials science and life sciences.

Background and implications

Vishwanath was among the first women executives to spin out of NVIDIA and later founded her own early-stage investment firm. Her seven years at NVIDIA inform her infrastructure-focused view: in a field that combines hardware and software, solving physical component and safety challenges may be a prerequisite for a truly transformative, foundation-model-driven shift.

Conclusion

Vishwanath’s take underscores a cautious, engineering-centered view of progress in robotics: before expecting a rapid, model-driven breakthrough, the industry still needs to assemble and standardize its core hardware and safety building blocks.