Robotics is in its ‘Lego Era,’ Says Former Nvidia Exec and Techable VC Founder Amulya Vishwanath

The promise of artificial intelligence in the physical world has long been heralded as the next great frontier of technological evolution. From self-driving delivery bots to autonomous warehouse arms, the dream of a machine that can navigate and manipulate the real world with the grace of a human is a central pillar of modern venture capital. Yet, while much of the tech industry is currently caught up in the fervor of "foundation models"—the same underlying technology that powers tools like ChatGPT—some industry veterans believe the reality of robotics is far more grounded, and perhaps more tedious, than the hype suggests.

Amulya Vishwanath, a former leader of product marketing for Nvidia’s expansive robotics platforms, offers a sobering perspective on the current state of the field. After spending seven years at the heart of Nvidia’s robotics division, Vishwanath has arrived at a defining conclusion: we are currently in the "Lego era" of robotics. Far from being on the precipice of a singular "ChatGPT moment" that will solve all mechanical and sensory challenges at once, the industry is still in the process of rebuilding the basic, fundamental building blocks of the discipline.

According to Vishwanath, the components that define a robot—actuators, robotic hands, advanced software interfaces, and even the basic safety standards required for human-robot interaction—are currently being reconstructed from the ground up. This view acts as a deliberate counter-narrative to the prevailing optimism seen in Silicon Valley. Many proponents of general-purpose AI, such as General Intuition CEO Pim de Witte, have argued that the advent of a single, powerful foundation model would render current, highly specialized robotics research largely redundant. The theory is that if an AI is smart enough to understand the world, it should be able to control any physical machine, effectively bypassing the need for decades of slow, iterative hardware development.

Vishwanath’s experience, however, suggests that the physical world is far less forgiving than the digital one. While a large language model can hallucinate a paragraph of text without causing physical harm, a robotic arm that miscalculates its own trajectory or fails to properly calibrate its grip on an object can result in significant real-world damage. This fundamental disconnect between digital intelligence and physical execution is why Vishwanath believes the industry is still in a foundational phase. The hardware must be perfected, the safety protocols must be solidified, and the basic software architecture must be standardized before a "general foundation model" can truly provide the revolutionary shift that many are expecting.

This perspective has heavily influenced her transition from a high-level executive at one of the world’s most influential hardware companies to the role of an early-stage investor. As the founder and managing partner of Techable VC, Vishwanath is now putting her theory into practice by writing first checks for startups that are focused on solving these deep-tech, foundational problems.

In a recent episode of TechCrunch’s Equity podcast, Vishwanath joined host Dominic-Madori Davis to discuss her shift from the corporate boardroom of Nvidia to the high-stakes world of venture capital. The conversation provided a rare look into the mind of an investor who spent nearly a decade at the center of the AI-robotics nexus. Vishwanath stands out as one of the first women executives to spin out of Nvidia to launch her own early-stage investment firm, and her portfolio focus is as precise as it is ambitious. Techable VC is positioning itself as a primary backer for startups operating at the intersection of physical AI, robotics, materials science, and the life sciences.

The transition from product marketing to venture capital is a notable shift, but one that is increasingly common for executives who have spent years watching the trajectory of specific technologies. For Vishwanath, the move was motivated by a desire to support the "unsexy" but essential work that is required to move robotics forward. While many investors are chasing the next "intelligent" software layer, Techable VC is interested in the companies that are building better actuators, more reliable sensors, and the materials that will allow robots to survive in unpredictable environments.

During the discussion with Davis, Vishwanath reflected on her time at Nvidia and the lessons learned while working for a company that effectively powers the AI revolution. She noted that her time there was not just about understanding the hardware, but about understanding the market’s readiness to adopt it. The robotics industry has a long history of over-promising and under-delivering; many companies have struggled because they tried to build the "brain" of the robot before they had a reliable "body" for it to inhabit. By focusing on the "Lego" components of the industry, Vishwanath is betting that the companies which provide the infrastructure for the next generation of robots will be the ones that achieve long-term success.

This focus on the physical sciences is a departure from the "software-first" mentality that has dominated venture capital for the last two decades. While software can be iterated upon with near-infinite speed, physical hardware requires time, testing, and rigorous safety vetting. This is the "Lego era" that Vishwanath describes: a time of assembly, testing, and refinement. She argues that the industry cannot simply jump to the stage of autonomous, human-level intelligence without first ensuring that the physical systems themselves are robust enough to support such capabilities.

The Equity conversation also touched upon the broader challenges faced by women in the tech industry, particularly those moving from technical executive roles into the male-dominated sphere of venture capital. As a trailblazer in this regard, Vishwanath’s journey offers a roadmap for how specialized technical expertise can be translated into investment theses that are both scientifically sound and commercially viable. Her firm is not looking for the quick, superficial wins that often define the current AI cycle; rather, it is looking for the foundational innovations that will define the hardware ecosystem for the next decade.

As the industry continues to debate whether we are months or years away from a major breakthrough in embodied AI, figures like Vishwanath provide a necessary reality check. The "ChatGPT moment" for robotics, if it arrives, will not be a software-only event. It will be the culmination of thousands of small, incremental improvements in actuators, materials, and safety protocols—the very building blocks that Vishwanath and her firm are currently investing in.

Listeners interested in the full scope of Vishwanath’s investment philosophy and her insights on the future of the physical AI landscape can hear the full conversation on the Equity podcast. The episode, hosted by Dominic-Madori Davis and produced by Theresa Loconsolo, is available on all major podcast platforms, including YouTube, Apple Podcasts, Overcast, and Spotify. For those following the developments at Techable VC and the broader trends in robotics, staying connected with Equity via their social channels on X and Threads at @EquityPod remains the most direct way to track these shifts in the venture capital landscape.

The evolution of robotics remains one of the most compelling stories in technology, and as the industry moves deeper into its "Lego era," the importance of fundamental innovation—rather than just algorithmic hype—becomes increasingly clear. Through her work at Techable VC, Amulya Vishwanath is helping to ensure that the foundation is laid properly, brick by brick, preparing the way for the robots of the future to actually perform in the world we live in.