Amulya Vishwanath, who spent seven years leading product marketing for NVIDIA\u2019s robotics platforms, says robotics is currently in its \u201cLego era,\u201d with the basic building blocks like actuators, robotic hands, software, and safety standards still being rebuilt. <\/p>\n
This view runs counter to those who believe that robotics, powered by a general foundation model, is about to have its \u201cChatGPT moment\u201d \u2014 that day when the shockingly capable chatbot was launched in late 2022. (General Intuition CEO Pim de Witte told Equity earlier this year that a single general foundation model would make much of today\u2019s specialized robotics work redundant, and be that moment.) <\/p>\n
On this episode of TechCrunch\u2019s Equity podcast, Dominic-Madori Davis caught up with Vishwanath to discuss where she\u2019s writing first checks as the founder and managing partner of Techable VC. They also talked about what she\u2019s learned as one of the first women executives to spin out of Nvidia and launch her own early-stage firm investing in physical AI across robotics, materials science, and life sciences. <\/p>\n
Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You can also follow Equity on X and Threads, at @EquityPod. <\/p>\n
Chapters: <\/p>\n
00:00 Intro <\/p>\n
01:03 Amulya\u2019s path from Intel to Nvidia, and why she left <\/p>\n
04:39 What physical AI meant in 2018 vs. now <\/p>\n
06:12 Beyond dancing robots: industrial and surgical use cases <\/p>\n
09:31 What \u201cconscious automation\u201d means <\/p>\n
12:12 Cutting through the hype: the \u201cLego era\u201d of robotics <\/p>\n
16:43 Why your VC should be your moat <\/p>\n
20:30 Biggest bottlenecks for physical AI founders <\/p>\n
22:30 U.S. vs. China in physical AI <\/p>\n
25:43 Are humanoids just for entertainment? <\/p>\n
28:10 The most promising near-term areas <\/p>\n
29:22 Outro<\/p>\n","protected":false},"excerpt":{"rendered":"
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