Running AI Agents at Amazon Scale: Swami Sivasubramanian on Staying On the Loop, Not in It
AWS VP Swami Sivasubramanian discusses with host Brad Porter how Amazon scales AI agents, enabling faster decisions and organizational transformation.
22 Sept 2026TRANSCRIPT
From the Lisa to the Browser Wars: Brad Silverberg on Why the Best Idea Rarely Wins
Brad Silverberg shares with Brad Porter why the best idea rarely wins, revealing how sequencing hard problems and internal politics determine platform success.
8 Sept 2026TRANSCRIPT
Innovation Says Yes, Operations Says No: Erik Nieves on Where Pilots Die
Plus One Robotics CEO Erik Nieves and host Brad Porter discuss the challenges of deploying robots in real-world operations, revealing how human-robot collaboration drives automation success.
25 Aug 2026TRANSCRIPT
Don’t Automate What You Don’t Understand: From MIT to the Toyota Factory Floor with Russ Tedrake
Roboticist Russ Tedrake shares with host Brad Porter how to bring practical AI robots from MIT labs to Toyota factory floors, improving manufacturing systems.
11 Aug 2026TRANSCRIPT
The Founder Who Made the Web Human: Mike McCue on Netscape, Tellme & Flipboard
Brad Porter interviews Mike McCue, the visionary founder behind Netscape and Flipboard, as they discuss shipping groundbreaking technology across the internet, mobile, and AI eras.
28 Jul 2026TRANSCRIPT
Teaching a Robot to Drive Itself: Aicha Evans on Intent, Instinct, and Real World Deployment
Brad Porter interviews Aicha Evans, CEO of Zoox, about deploying fully driverless robotaxis and the critical role of hardware-software integration in physical AI.
14 Jul 2026TRANSCRIPT
The Deal That Invented Defense Tech: Teresa Carlson on Selling What Doesn’t Exist Yet
Teresa Carlson, Anthropic's Global Head of Public Sector, shares with host Brad how she pioneered defense tech by selling unproven concepts to the CIA, offering insights for physical AI companies today.
30 Jun 2026TRANSCRIPT
He Built Humanoids for DARPA: Sidd Srinivasa on Why They’re the Wrong Default Robot
Brad Porter interviews roboticist Sidd Srinivasa about why humanoids are the wrong default robot and how to move the field forward with uncommon sense.
22 Jun 2026TRANSCRIPT
Liberating the Human Middleware: Pat Shanahan on Why AI Frees People Instead of Replacing Them
Brad Porter interviews Pat Shanahan, former Deputy Secretary of Defense, about how AI liberates people by focusing on deployment challenges and the human element of technology integration.
2 Jun 2026TRANSCRIPT
The Demo Was Never the Hard Part: David Mindell on What It Takes to Deploy
Host Brad turns the tables on historian and robotics pioneer David Mindell, exploring why industrial transformation takes "human time" and is ultimately a human story.
19 May 2026TRANSCRIPT
No Such Thing as a Purely Technical Decision: Scarlett Koller From MIT to Mars to Mithril
Host Brad interviews Scarlett Koller, a deep tech startup founder, about engineering challenges from MIT to Mars and the future of space sensing.
5 May 2026
The Most Expensive Introduction Ever Made: Ross Fubini and Anduril's Origin Story
Brad reconnects with Ross Fubini, the two met as Netscape interns when being a nerd wasn't cool. Ross went on to accidentally make the most valuable introduction in Silicon Valley history, connecting Palantir's first employees, then built XYZ Venture Capital around the network that followed. They trade notes on what the browser wars actually teach us about the AI wars, why only 40 people in America know how to sell tech to the Pentagon, and whether OpenAI ends up like Netscape: world-changing, then gone.
21 Apr 2026
The Global Software Market Is Just Too Small: Bilal Zuberi on Physical AI's Moment
Brad Porter sits down with Bilal Zuberi: MIT PhD, former Lux Capital GP, and the investor behind Applied Intuition, the most profitable physical AI company you've probably never heard of. They dig into why the smartest money is leaving mega-funds, what separates visionary founders from execution founders, and why the entire enterprise software market is smaller than most people think. Bilal makes the case that AI's real impact isn't in chatbots, it's in a physical world that's stayed dumb for decades.
7 Apr 2026
Is The World Really Built for Humans? Unlocking AI’s Potential with Alfred Lin
Everyone says humanoid robots will win because the world was built for humans. But was it? Sequoia Capital partner Alfred Lin joins Cobot CEO Brad Porter for a conversation spanning their shared history, from the Zappos deal that almost convinced Amazon robots would never work, to why Alfred's father's journey from farmer to bank president is the best case for AI optimism. They dig into why the best robot form factor might not have hands at all, what the "ChatGPT moment" for robotics already is, and why every technology wave demands a combination of new hardware and software that we haven't yet seen on the consumer side for AI.
Sign up for exclusive insights from leaders in Physical AI and Robotics: https://cobot-deployed.com/RSS2 (https://cobot-deployed.com/RSS2)
24 Mar 2026
Scale like Amazon: How Jeff Wilke is Rebuilding USA Manufacturing
Jeff Wilke scaled Amazon from a startup to the most sophisticated automation operation on earth. Now he's focused on rebuilding American manufacturing. Brad Porter and Wilke go deep on what enterprise AI looks like in practice, from warehouse automation and autonomous mobile robots, to the Physical AI deployment lessons that only come from running operations at massive scale. If you're building, investing in, or deploying robotics and automation, start here.
Sign up for exclusive insights from leaders in Physical AI and Robotics: https://cobot-deployed.com/RSS1 (https://cobot-deployed.com/RSS1)
20 Mar 2026
Deployed Trailer
Deployed Episode One Drops 3/24 9AM PST.
Inside a recent episode
Running AI Agents at Amazon Scale: Swami Sivasubramanian on Staying On the Loop, Not in It
Published 6 Oct 2026 · Transcript excerpt
[…] And it turns out the first set of things we were trying to build was like, how do you help deep learning scientists build models? And that's where SageMaker came along to make it easy to build, train and deploy ML models. And then we were building a bunch of AI services to help with translation, image analysis, speech recognition to text-to-speech and many other things. And then as transformers broke out and more models are starting to get built and what even should become generative AI models, We saw this coming and we said, hey, we not only need to build our own models, we actually said we need an easy way for people to consume generative AI models as an API. […]
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