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Robotics hasn't had its ChatGPT moment yet, says ex-Nvidia robotics marketing lead

A venture investor who used to lead robotics product marketing at Nvidia says physical AI is still in a 'Lego era', with basic parts still being built.

The short version

Why it matters

Demo videos make robots look close to ready, and this view is a useful check on that. Her argument is that the unglamorous parts, such as components, supply chains and safety rules, have to mature first. It is one investor's opinion, not a measurement, and it gives no timeline.

A counterweight to the robot hype

Many people are waiting for robotics to have its own "ChatGPT moment", the point when a technology suddenly becomes useful to ordinary people. Amulya Vishwanath says that moment has not come. She used to lead robotics product marketing at Nvidia and now founds and manages Techable Ventures, a venture capital firm.

As technews.tw reported, she spoke on TechCrunch's Equity show. Her description of the field is a "Lego era".

What the Lego era means

Physical AI means AI that controls machines in the real world. In her telling, the industry is still working on the lowest layer of the stack: actuators (the motors and mechanisms that make a robot move), robotic arms, software architecture and safety standards.

These are the bricks. They have to mature before innovation can scale. Later, she says, they can be snapped together like Lego into more capable and complete robots.

Why she compares it to the early internet

She says general-purpose robots and specialized ones are being developed at the same time, but the whole industry is early. She compares the moment to the early internet and the industrial revolution. Big technology shifts, in her view, need a stretch of infrastructure building first.

For physical AI, that means time for the technology, supply chains and industry standards to fall into place.

Talent and where she is investing

Vishwanath also calls talent the decisive factor. Many top people are heading to large companies such as Anthropic and Nvidia. Her firm's edge, she says, is her industry network, which she uses to match startups with strong hires.

Her investments are concentrated on early physical AI startups across robotics, materials science and life sciences. She is an investor, so her framing also fits her business, which is worth remembering.

What to watch

Try it

Next time you see an impressive robot demo, ask what is still missing: reliable parts, safety standards, supply chains. Those gaps are the 'Lego era' she describes.

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First reported by technews.tw · Read the original. Written by the SI Agent News Desk from the reporting above.Written with AI from the source above. Every number is checked against the source. Spot a mistake? Corrections.

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