E362: Why Jensen Huang Believes Physical AI will be a $50 Trillion Market

May 5, 2026

Daniel Jacker, CEO and Co‑Founder of ZaiNar and longtime deep‑tech entrepreneur, explains building a real‑time, high‑precision sensing layer for physical AI. He discusses turning wireless networks into global sensors, a nine‑year stealth build, why physical AI lacks a data layer, and how swarm intelligence and centralized location data reshape robotics and automation.

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INSIGHT

What Physical AI Really Means

Physical AI is applying AI to the real world to optimize movement and tasks performed by robots or humans.
ZaiNar turns existing wireless networks into a sensor that locates devices to sub-10 cm accuracy without software on user devices.

INSIGHT

ZaiNar As The Nervous System

ZaiNar positions itself as the central nervous system by converting connectivity into a global sensing layer for AI and robotics.
The company feeds precise location data to LLM-like brains and robotics 'arms' to enable coordinated action across environments.

ANECDOTE

Construction Site Saved From Massive Overrun

On a major airport project ZaiNar detected hundreds of idle or inefficient equipment moves that caused a $120M budget overrun.
The system flagged unused machines, non-profitable moves, and sent proactive reallocation prompts to avoid schedule delays.

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What if the biggest opportunity in AI isn’t intelligence—but the missing data layer for the physical world? In this episode, I sit down with Daniel Jacker, CEO and Co-Founder of ZaiNar, to discuss why physical AI could become a $50 trillion market and the infrastructure required to make it work. Daniel explains how turning wireless networks into a real-time sensing layer unlocks entirely new capabilities across industries, why the absence of physical-world data is the biggest bottleneck in AI today, and how his company spent nearly a decade in stealth building a foundational technology before scaling. We also explore swarm intelligence, robotics, and where value will accrue as AI moves from digital to physical environments.

Highlights:

Why physical AI lacks the equivalent of the internet’s data layer
How wireless networks can become a global sensing system
What most people misunderstand about robotics and automation
Why swarm intelligence matters more than individual robots
How ZaiNar stayed in stealth for nine years while building a moat
Where value accrues in AI beyond applications and models
The real bottleneck preventing AI from entering the physical world
Why data, not robots, may be the biggest investment opportunity

Guest Bio:

Daniel Jacker is the CEO and Co-Founder of ZaiNar, a 5G positioning technology company focused on real-time, high-precision location intelligence for physical AI applications. He earned his MBA from Stanford GSB and is a General Partner at Magic City, a seed fund backing Stanford founders, as well as an active mentor at StartX and other leading accelerators. Prior to ZaiNar, he worked at Accenture on emerging technology strategy and founded The 3D Printing Company.

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Sponsor:

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Disclaimer:

This podcast is for informational purposes only and does not constitute investment, financial, legal, or tax advice. Nothing in this episode should be interpreted as an offer to buy or sell any securities or to participate in any investment strategy. All opinions expressed by the host and guests are their own and do not represent the views of Weisburd Capital. Participants may hold positions or have financial interests in the companies, funds, or investments discussed. Any references to specific investments are for illustrative purposes only. Investing involves risk, including the potential loss of capital. Past performance is not indicative of future results, and any forward-looking statements are subject to risks and uncertainties. Any third-party data or opinions have not been independently verified. Listeners should conduct their own research and consult their own advisors before making any investment decisions.

(0:00) The $50 Trillion Market Most Investors Still Don’t Understand (1:28) Why Physical AI Isn’t Just About Robots (3:07) The $120M Mistake Happening on Construction Sites Today (5:40) How They Turn Wireless Signals Into a “God View” of Reality (9:00) The Physics Breakthrough That Makes This Possible (12:38) How They Recruited World-Class Talent While in Stealth (17:09) Why They Stayed Quiet for 9 Years (And Why It Worked) (23:10) The Missing Dataset Blocking the Future of AI (31:48) Why Robots Will Work in Swarms, Not Alone (40:41) Where Smart Investors Should Actually Bet in Physical AI