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Amulya Vishwanath on the Delayed Robotics ChatGPT Moment

Former Nvidia executive Amulya Vishwanath says robotics remains in its Lego era as the sector works to solidify its fundamental building blocks.

Daniel Okafor · Oct 17, 2026 · 3 min read

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Key highlights · 3 min read

  • Amulya Vishwanath, founder and managing partner of Techable VC, argues that the robotics…
  • The Scale Report notes that this perspective serves as a direct rebuttal to industry figures like [Pim de Witte](https://techcrunch.com/video/a-nvidia-insider-turned-vc-on-why-robotics-hasnt-hit-it…
  • Vishwanath, who spent seven years at the chipmaker before pivoting to venture capital, is now positioning her firm to focus on physical AI.
Amulya Vishwanath on the Delayed Robotics ChatGPT MomentThe Scale Report
Image: AI News & Artificial Intelligence | TechCrunch

Amulya Vishwanath, founder and managing partner of Techable VC, argues that the robotics industry is not currently on the verge of a breakthrough comparable to the launch of ChatGPT. During a recent appearance on the Equity podcast hosted by Dominic-Madori Davis, the former Nvidia product marketing lead described the current state of the field as a Lego era where essential components like actuators, software interfaces, and safety protocols are still being redefined.

Challenging The Foundation Model Hype

The Scale Report notes that this perspective serves as a direct rebuttal to industry figures like Pim de Witte, the CEO of General Intuition. De Witte has previously suggested that a single general foundation model would soon render existing specialized robotics implementations obsolete. Vishwanath maintains that the physical limitations of hardware create a higher barrier to entry than what was experienced by text-based generative AI.

Focus On Physical AI Investment

Vishwanath, who spent seven years at the chipmaker before pivoting to venture capital, is now positioning her firm to focus on physical AI. Her investment strategy targets robotics, materials science, and life sciences. By prioritizing these sectors, she aims to back startups that are moving past theoretical models to address the practical, modular constraints that currently slow down physical automation.

Why It Matters

This debate underscores a growing tension in the venture ecosystem between investors betting on software-defined intelligence and those prioritizing the messy reality of hardware integration. If Vishwanath is correct, the path toward autonomous robots will be incremental rather than transformative, favoring companies that solve for physical reliability before attempting to layer on broad foundation models.

Amulya VishwanathNvidiaTechable VCRoboticsChatGPTEquity Podcast

Reporting based on coverage from AI News & Artificial Intelligence | TechCrunch.

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