This Nvidia insider-turned-VC says robotics hasn’t hit its ChatGPT moment (yet) | Equity Podcast

In this talk

1. 1:28

   From NVIDIA to early-stage investing

   Vishban traces her path through signal processing, Intel, and NVIDIA, where she worked on AI software and robotics products. After years of helping build technical communities and launch products such as NVIDIA’s Isaac robotics platform, she started a firm to support companies from their earliest stages.

2. 4:47

   Physical AI spans more than robots

   Vishban describes physical AI as bringing digital capabilities into tangible things, including materials, medicines, and robots. She sees opportunities in factory automation, where smaller businesses face labor shortages, and in surgical tools that could help specialists handle complex cases.

3. 9:32

   Automation should address real needs

   Vishban says automation can support existing work, such as helping clinicians or assisting older people, rather than being applied everywhere. She evaluates whether a use case can be financially viable and scaled, while pointing to changes in how researchers develop new ideas.

4. 12:45

   Robotics is still building its foundations

   Asked whether robotics has had its ChatGPT breakthrough, Vishban says progress is underway but foundational work remains. She likens the current phase to assembling building blocks, citing actuators, simulation, safety practices, and standards as areas that need development before robotics can spread across applications.

5. 16:14

   Investors can help founders beyond funding

   Vishban wants founders to draw on her industry relationships and product experience for technical feedback, customer introductions, and pilot opportunities. She also sees talent, manufacturing capacity, and supply chains as challenges, while describing the US and China as contributors with different strengths in talent and production.