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

Introduction

Amid the hype around a "ChatGPT moment" for robotics, Amulya Vishwanath—founder and managing partner of Techable Ventures and former Nvidia product marketer—offers a grounded perspective. She likens the current state of physical AI to a LEGO set: engineers are assembling the basic blocks—actuators, sensors, and control software—that will eventually snap together into sophisticated, market‑ready robots.

The LEGO Era of Physical AI

Vishwanath emphasizes that the industry is still building its foundational components. Today’s efforts focus on:

• Modular hardware such as versatile robotic hands and low‑cost actuators that can be mixed and matched.
• Open‑source software stacks that standardize perception, planning, and control across different platforms.
• General‑purpose and specialized robots that serve as testbeds for these building blocks.

She draws parallels to past technology waves—the early internet and the Industrial Revolution—where a proliferation of interchangeable parts eventually enabled large‑scale innovation. In the same way, once the LEGO pieces of physical AI are widely available and interoperable, developers can concentrate on higher‑level applications rather than reinventing the wheel.

Talent as a Competitive Moat

According to Vishwanath, talent remains the most decisive factor in the U.S. robotics ecosystem. Large AI labs such as Anthropic and Nvidia are pulling top engineers, creating a talent drain for early‑stage startups. Techable Ventures positions its network as a moat, helping founders access the expertise they need to stay competitive. By leveraging her own industry connections, Vishwanath aims to be the first point of contact for founders seeking both capital and human capital.

Looking Ahead: From Bricks to Buildings

The path forward involves three key trends:

1. Standardization – As hardware interfaces and software APIs converge, developers will spend less time on integration and more on application logic.
2. Scale‑up Platforms – Cloud‑based simulation and digital twins will accelerate testing, reducing the cost of moving from prototype to production.
3. Cross‑Domain Collaboration – Partnerships between AI researchers, mechanical engineers, and product designers will blur the lines between software and hardware, fostering more holistic solutions.

When these trends mature, the industry is likely to see a surge of commercially viable robots—much like the explosion of apps after the smartphone SDKs became standardized.

Practical Takeaways for Founders and Investors

• Focus on modularity: Build components that can be reused across multiple robot platforms.
• Invest in talent pipelines: Cultivate relationships with universities and research labs to secure the next generation of robotics engineers.
• Leverage venture networks: Firms like Techable Ventures can provide not just funding but also critical introductions to talent and partners.
• Stay patient: The LEGO era is a necessary prelude to the era of fully integrated, high‑impact physical AI solutions.

By recognizing that the industry is still assembling its basic pieces, stakeholders can align expectations, allocate resources wisely, and prepare for the inevitable transition from scattered bricks to towering robotic innovations.