The MAD Podcast: How AI Gets Built — with Matt Turck

The Biggest AI Deployment Nobody Talks About | Samsara CEO Sanjit Biswas

Donnerstag, 30. Juli 2026 · 1 h 01

MP3

Shownotes

Sanjit Biswas runs what may be the largest AI deployment in the physical world — and almost nobody in AI talks about it. Samsara (NYSE: IOT), the ~$20B company he co-founded after selling Meraki to Cisco for $1.2B, puts AI on millions of trucks, cranes, and industrial assets: 25 trillion data points a year, 99% of US roads driven every single day, ~$2B in ARR growing 30% profitably. In this episode we go through the entire physical AI stack — asset tags you can run over with a truck, a paper-thin disposable tracking label, engine fault codes, and dash cams running inference at the edge — then into agents, including the Agent Studio warranty agent that compresses an hour of human work into under a minute. We also get into the uncomfortable part (when AI watches you drive all day, is that coaching or surveillance — and why drivers actually want the cameras), mixed fleets of humans and robots, why autonomous trucking will take far longer than robotaxis, and a startling stat from the field: one utility building 3x more grid capacity in the next five years than it did in the previous 125, with 90% of that demand coming from data centers.

() Intro: The biggest AI deployment nobody talks about
() What is physical AI?
() From IoT dashboards to agentic action
() Why physical AI is harder than software AI
() Safety, cybersecurity, and real-world consequences
() What Samsara does
() $2B ARR, 25 trillion data points, and 380,000 crashes
() How AI can prevent road accidents
() From an MIT research project to Meraki
() Learning physical operations from scratch
() Samsara’s stack: sensors, intelligence, and action
() Inside Samsara’s industrial asset trackers
() Bluetooth, battery life, and connected infrastructure
() A disposable tracking device built like a sticker
() Vehicle gateways and engine diagnostics
() How AI dash cams coach drivers in real time
() Turning the dash cam into an AI interface
() Organizing physical-world data in the cloud
() Selling AI to traditional industries
() Is Samsara’s real-world data its AI moat?
() The network effects of covering 99% of U.S. roads
() Edge AI versus cloud AI
() The models running inside Samsara’s devices
() Generative AI and video reasoning
() Which AI models does Samsara use?
() Inside Samsara Agent Studio
() How an AI warranty agent works
() Starting with practical, lower-risk automation
() Combining agents, workflows, rules, and guardrails
() What today’s AI agents still cannot do
() AI ride-alongs and the future of driver coaching
() Is workplace AI becoming Big Brother?
() How cameras can protect and exonerate drivers
() When AI becomes the judge of your work
() Robots, humanoids, and mixed human-machine fleets
() Samsara’s role in autonomous operations
() How quickly will autonomous trucking arrive?
() AI data centers and America’s infrastructure boom
() Should lawyers become plumbers? Demand for tradespeople
() Closing thoughts

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