An Nvidia insider-turned-VC on why robotics hasn’t hit its ChatGPT moment, yet
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An Nvidia insider-turned-VC on why robotics hasn’t hit its ChatGPT moment, yet

October 18, 202618 views2 min read

Former NVIDIA executive Amulya Vishwanath argues that robotics is still in its 'Lego era,' with fundamental components like actuators and safety standards still being built out, delaying a ChatGPT-like breakthrough.

Despite the rapid advancements in artificial intelligence and the widespread excitement surrounding breakthroughs like ChatGPT, the robotics industry remains in a foundational phase, according to Amulya Vishwanath, a former NVIDIA executive turned venture capitalist. Vishwanath, who spent seven years leading product marketing for NVIDIA’s robotics platforms, argues that robotics is currently in what he calls its “Lego era” — a period marked by the gradual assembly of basic components rather than the emergence of transformative, consumer-facing innovations.

The Building Blocks of Robotics

Vishwanath emphasizes that while AI has enabled leaps in natural language processing and image recognition, robotics still lacks the fundamental infrastructure needed to scale. Key components such as actuators, robotic hands, software frameworks, and safety standards are still being developed and refined. "We're still in the phase where we're putting together the pieces," he noted, suggesting that the industry is far from the kind of breakthrough moment that would make robotics as ubiquitous as smartphones or AI chatbots.

Why the Delay?

The delay, Vishwanath believes, is not due to a lack of interest or investment, but rather the complexity and inherent challenges of robotics. Unlike software, which can be updated and improved iteratively, physical robotics systems require extensive testing, regulatory compliance, and safety validation. "You can't just release a new version of a robot like you can a mobile app," he explained. This reality, he argues, is why the robotics sector hasn't yet achieved the kind of viral, transformative momentum that AI has experienced.

Looking Ahead

While the robotics industry may not be in its ChatGPT moment yet, Vishwanath remains optimistic. He sees the current phase as a necessary groundwork for future innovation. As the building blocks are refined and integrated, he believes the stage will be set for a new wave of robotics applications that could revolutionize industries from manufacturing to healthcare. "The next big thing is going to come when we finally get all the pieces right," he said, pointing to the potential for robotics to reach a tipping point once these foundational elements are fully realized.

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