Robotics may be entering a more practical and creative phase. In a TechCrunch Equity discussion, former Nvidia executive and venture capitalist Amulya Vishwanath described “physical AI” as being in its “LEGO era” — a moment when the essential pieces for building smarter machines are becoming more modular and usable.
The comparison points to an encouraging shift: instead of every robotics company needing to invent the entire stack from scratch, startups can increasingly combine advances in AI models, sensors, simulation, compute, and hardware. That could lower the barrier to creating robots that operate in warehouses, factories, homes, hospitals, and other real-world environments.
Why this matters
The robotics field is still waiting for its “ChatGPT moment” — a breakthrough that makes embodied AI feel suddenly capable and widely accessible. But Vishwanath’s comments suggest the groundwork is being laid, with more reusable building blocks and stronger investor interest helping accelerate experimentation.
- More modular tools can help teams prototype and deploy robotics systems faster.
- Physical AI expands AI’s impact beyond software into real-world tasks and environments.
- Startup momentum could bring new automation solutions to industries facing labor, safety, and productivity challenges.
While this is more a signal of momentum than a finished breakthrough, it is a positive indicator for the future of robotics. If the “LEGO era” continues to mature, the next generation of AI companies may build machines that are not only intelligent, but useful in everyday physical settings.