Descriptions:
Applied Intuition CEO Qasar Younis joins the a16z podcast to discuss the company’s mission to put intelligence on a billion machines — spanning autonomous cars, trucks, military drones, agricultural equipment, and heavy construction machinery. While automotive represents roughly 30% of Applied Intuition’s current business, Younis argues the broader physical AI opportunity will ultimately dwarf the digital AI wave, drawing a historical parallel to how Amazon and Apple eclipsed the original internet-native companies by transforming physical-world industries.
A centerpiece of the conversation is the launch of Dana, Applied Intuition’s new platform for designing and developing autonomous systems. Younis frames it as a democratization layer: the goal is for a high school student comfortable building iPhone apps to be able to build autonomous systems using the same intuition. He explains Applied Intuition’s go-to-market positioning using a chip company analogy — like NVIDIA supplying GPUs across industries without displacing OEMs, Applied Intuition provides core intelligence components that manufacturers integrate under their own brand, which is why 70% of its business is already non-automotive despite the company’s origins in self-driving.
The episode also traces the full 20-year arc of autonomous vehicle development from the 2005 DARPA Grand Challenge to today’s commercially operating robotaxi services, with candid reflection on why timelines kept slipping and what has finally changed. With over 1,000 engineers, 18 global offices, and deployments across defense, mining, farming, and consumer automotive, Applied Intuition is positioning itself as foundational infrastructure for the physical AI era — a bet that intelligence applied to moving machines will create larger companies than intelligence applied to software alone.
📺 Source: a16z · Published July 21, 2026
🏷️ Format: Interview
