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    <title>Deployed: Where Physical AI Gets Real</title>
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    <description>Most robotics demos never ship. Deployed is about the ones that do.

A Cobot Podcast.</description>
    <copyright>© 2026 Brad Porter </copyright>
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    <pubDate>Tue, 30 Jun 2026 08:40:26 -0700</pubDate>
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      <title>Deployed: Where Physical AI Gets Real</title>
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    <itunes:author>Brad Porter </itunes:author>
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    <itunes:summary>Most robotics demos never ship. Deployed is about the ones that do.

A Cobot Podcast.</itunes:summary>
    <itunes:subtitle>Most robotics demos never ship.</itunes:subtitle>
    <itunes:keywords>Physical AI, Robotics, Robots, AI, Artificial Intelligence, Humanoids, Warehouse Automation, Autonomous Mobile Robots, Physical AI Deployment, Robot Deployment, Healthcare Automation, Investing, VC, Venture Capital, Startups</itunes:keywords>
    <itunes:owner>
      <itunes:name>Brad Porter </itunes:name>
      <itunes:email>deployedpodcast@co.bot</itunes:email>
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    <itunes:complete>No</itunes:complete>
    <itunes:explicit>No</itunes:explicit>
    <item>
      <title>He Built Humanoids for DARPA: Sidd Srinivasa on Why They’re the Wrong Default Robot</title>
      <itunes:title>He Built Humanoids for DARPA: Sidd Srinivasa on Why They’re the Wrong Default Robot</itunes:title>
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      <description>
        <![CDATA[<p>Brad Porter sits down with Sidd Srinivasa, the roboticist he recruited to build Amazon’s Robotics AI org and now a professor at the University of Washington’s Allen School. They get into the gap between what robotics promised and what it actually delivered, why a robot that helps a paralyzed person eat is really a problem about dignity, why Sidd thinks the humanoid is the wrong default (“we humans are a local minimum in evolution”), why most robot demos are the easy 30 percent, and why moving the field forward takes uncommon sense: you have to be contrarian and correct.</p>]]>
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        <![CDATA[<p>Brad Porter sits down with Sidd Srinivasa, the roboticist he recruited to build Amazon’s Robotics AI org and now a professor at the University of Washington’s Allen School. They get into the gap between what robotics promised and what it actually delivered, why a robot that helps a paralyzed person eat is really a problem about dignity, why Sidd thinks the humanoid is the wrong default (“we humans are a local minimum in evolution”), why most robot demos are the easy 30 percent, and why moving the field forward takes uncommon sense: you have to be contrarian and correct.</p>]]>
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      <pubDate>Tue, 30 Jun 2026 08:40:12 -0700</pubDate>
      <author>Brad Porter </author>
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      <itunes:author>Brad Porter </itunes:author>
      <itunes:duration>2978</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Brad Porter sits down with Sidd Srinivasa, the roboticist he recruited to build Amazon’s Robotics AI org and now a professor at the University of Washington’s Allen School. They get into the gap between what robotics promised and what it actually delivered, why a robot that helps a paralyzed person eat is really a problem about dignity, why Sidd thinks the humanoid is the wrong default (“we humans are a local minimum in evolution”), why most robot demos are the easy 30 percent, and why moving the field forward takes uncommon sense: you have to be contrarian and correct.</p>]]>
      </itunes:summary>
      <itunes:keywords>Physical AI, Robotics, Robots, AI, Artificial Intelligence, Humanoids, Warehouse Automation, Autonomous Mobile Robots, Physical AI Deployment, Robot Deployment, Healthcare Automation, Investing, VC, Venture Capital, Startups</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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    <item>
      <title>Liberating the Human Middleware: Pat Shanahan on Why AI Frees People Instead of Replacing Them</title>
      <itunes:title>Liberating the Human Middleware: Pat Shanahan on Why AI Frees People Instead of Replacing Them</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/ecadce49</link>
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        <![CDATA[<p>Pat Shanahan has deployed some of the most complex systems ever built. Thirty years at Boeing on the B-2 bomber, the V-22 Osprey, the F-35, the 777, and the 787. Then Deputy and Acting Secretary of Defense under Secretary Mattis, leading a department of more than 3 million people. Then the turnaround of Spirit AeroSystems. He was elected to the National Academy of Engineering in 2019, and he helped Brad and the team at Scale AI.</p><p>In this episode of Deployed, Brad Porter and Pat Shanahan get into what it actually takes to put hard new technology into the hands of the people doing the work. Pat tells the story of betting the company on designing the 777 entirely on a computer, and the moment on the factory floor when everyone was sure it would fail. They cover his rule of "only three miracles at once," why every deployment is a people problem before it's a technology problem, the difference between AI "safety" and product integrity, and why a man who has shipped at the largest scale there is wishes he could go back 20 years in his career with these tools.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Pat Shanahan has deployed some of the most complex systems ever built. Thirty years at Boeing on the B-2 bomber, the V-22 Osprey, the F-35, the 777, and the 787. Then Deputy and Acting Secretary of Defense under Secretary Mattis, leading a department of more than 3 million people. Then the turnaround of Spirit AeroSystems. He was elected to the National Academy of Engineering in 2019, and he helped Brad and the team at Scale AI.</p><p>In this episode of Deployed, Brad Porter and Pat Shanahan get into what it actually takes to put hard new technology into the hands of the people doing the work. Pat tells the story of betting the company on designing the 777 entirely on a computer, and the moment on the factory floor when everyone was sure it would fail. They cover his rule of "only three miracles at once," why every deployment is a people problem before it's a technology problem, the difference between AI "safety" and product integrity, and why a man who has shipped at the largest scale there is wishes he could go back 20 years in his career with these tools.</p>]]>
      </content:encoded>
      <pubDate>Sun, 21 Jun 2026 19:12:05 -0700</pubDate>
      <author>Brad Porter </author>
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      <itunes:author>Brad Porter </itunes:author>
      <itunes:duration>2838</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Pat Shanahan has deployed some of the most complex systems ever built. Thirty years at Boeing on the B-2 bomber, the V-22 Osprey, the F-35, the 777, and the 787. Then Deputy and Acting Secretary of Defense under Secretary Mattis, leading a department of more than 3 million people. Then the turnaround of Spirit AeroSystems. He was elected to the National Academy of Engineering in 2019, and he helped Brad and the team at Scale AI.</p><p>In this episode of Deployed, Brad Porter and Pat Shanahan get into what it actually takes to put hard new technology into the hands of the people doing the work. Pat tells the story of betting the company on designing the 777 entirely on a computer, and the moment on the factory floor when everyone was sure it would fail. They cover his rule of "only three miracles at once," why every deployment is a people problem before it's a technology problem, the difference between AI "safety" and product integrity, and why a man who has shipped at the largest scale there is wishes he could go back 20 years in his career with these tools.</p>]]>
      </itunes:summary>
      <itunes:keywords>Physical AI, Robotics, Robots, AI, Artificial Intelligence, Humanoids, Warehouse Automation, Autonomous Mobile Robots, Physical AI Deployment, Robot Deployment, Healthcare Automation, Investing, VC, Venture Capital, Startups</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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      <title>The Demo Was Never the Hard Part: David Mindell on What It Takes to Deploy   </title>
      <itunes:title>The Demo Was Never the Hard Part: David Mindell on What It Takes to Deploy   </itunes:title>
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      <link>https://share.transistor.fm/s/7a63ac5e</link>
      <description>
        <![CDATA[<p>Brad turns the tables on his former MIT professor, David Mindell. David is a historian, deep-ocean robotics pioneer, founder of Humatics, and now an investor in industrial transformation through his firm Unless. They trace the thread from James Watt’s steam engine to robots two miles deep in the ocean to the warehouse floor: why the demo is never the hard part, why industrial transformation runs on “human time” and takes about 30 years, why the real automation problem is too few robots rather than too many, and why — from Thinking Machines to OpenAI — there’s no technology story that isn’t a human story.</p>]]>
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      <content:encoded>
        <![CDATA[<p>Brad turns the tables on his former MIT professor, David Mindell. David is a historian, deep-ocean robotics pioneer, founder of Humatics, and now an investor in industrial transformation through his firm Unless. They trace the thread from James Watt’s steam engine to robots two miles deep in the ocean to the warehouse floor: why the demo is never the hard part, why industrial transformation runs on “human time” and takes about 30 years, why the real automation problem is too few robots rather than too many, and why — from Thinking Machines to OpenAI — there’s no technology story that isn’t a human story.</p>]]>
      </content:encoded>
      <pubDate>Tue, 02 Jun 2026 08:40:00 -0700</pubDate>
      <author>Brad Porter</author>
      <enclosure url="https://media.transistor.fm/7a63ac5e/4e97ab4a.mp3" length="41392937" type="audio/mpeg"/>
      <itunes:author>Brad Porter</itunes:author>
      <itunes:duration>2581</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Brad turns the tables on his former MIT professor, David Mindell. David is a historian, deep-ocean robotics pioneer, founder of Humatics, and now an investor in industrial transformation through his firm Unless. They trace the thread from James Watt’s steam engine to robots two miles deep in the ocean to the warehouse floor: why the demo is never the hard part, why industrial transformation runs on “human time” and takes about 30 years, why the real automation problem is too few robots rather than too many, and why — from Thinking Machines to OpenAI — there’s no technology story that isn’t a human story.</p>]]>
      </itunes:summary>
      <itunes:keywords>Physical AI, Robotics, AI, Deep Tech, Technology, Automation </itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>No Such Thing as a Purely Technical Decision: Scarlett Koller From MIT to Mars to Mithril </title>
      <itunes:title>No Such Thing as a Purely Technical Decision: Scarlett Koller From MIT to Mars to Mithril </itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/0b2b4040</link>
      <description>
        <![CDATA[<p>Brad reconnects with Scarlett Koller, who he first met as an MIT sophomore for Amazon’s original Prime Air intern cohort, back when drone delivery was a “<em>60 Minutes”</em> segment, not a product. She’s since delivered on SpaceX Crew Dragon, NASA Perseverance, and Amazon Kuiper, and now runs Mithril , a deep tech startup reshaping space sensing. They trade stories on why NASA’s shuttle veterans cared so much about a simple handle, why people are harder to engineer than radiation, and how an antenna the size of a volleyball court, controlled to the thickness of a sheet of paper, could keep us from losing low Earth orbit.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Brad reconnects with Scarlett Koller, who he first met as an MIT sophomore for Amazon’s original Prime Air intern cohort, back when drone delivery was a “<em>60 Minutes”</em> segment, not a product. She’s since delivered on SpaceX Crew Dragon, NASA Perseverance, and Amazon Kuiper, and now runs Mithril , a deep tech startup reshaping space sensing. They trade stories on why NASA’s shuttle veterans cared so much about a simple handle, why people are harder to engineer than radiation, and how an antenna the size of a volleyball court, controlled to the thickness of a sheet of paper, could keep us from losing low Earth orbit.</p>]]>
      </content:encoded>
      <pubDate>Tue, 19 May 2026 08:45:00 -0700</pubDate>
      <author>Brad Porter </author>
      <enclosure url="https://media.transistor.fm/0b2b4040/cc84ee61.mp3" length="43555066" type="audio/mpeg"/>
      <itunes:author>Brad Porter </itunes:author>
      <itunes:duration>2716</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Brad reconnects with Scarlett Koller, who he first met as an MIT sophomore for Amazon’s original Prime Air intern cohort, back when drone delivery was a “<em>60 Minutes”</em> segment, not a product. She’s since delivered on SpaceX Crew Dragon, NASA Perseverance, and Amazon Kuiper, and now runs Mithril , a deep tech startup reshaping space sensing. They trade stories on why NASA’s shuttle veterans cared so much about a simple handle, why people are harder to engineer than radiation, and how an antenna the size of a volleyball court, controlled to the thickness of a sheet of paper, could keep us from losing low Earth orbit.</p>]]>
      </itunes:summary>
      <itunes:keywords>Physical AI, Robotics, Robots, AI, Artificial Intelligence, Humanoids, Warehouse Automation, Autonomous Mobile Robots, Physical AI Deployment, Robot Deployment, Healthcare Automation, Investing, VC, Venture Capital, Startups</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>The Most Expensive Introduction Ever Made: Ross Fubini and Anduril's Origin Story</title>
      <itunes:title>The Most Expensive Introduction Ever Made: Ross Fubini and Anduril's Origin Story</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/08ef54ce</link>
      <description>
        <![CDATA[<p>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.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>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.</p>]]>
      </content:encoded>
      <pubDate>Tue, 05 May 2026 08:45:00 -0700</pubDate>
      <author>Brad Porter </author>
      <enclosure url="https://media.transistor.fm/08ef54ce/30c0606a.mp3" length="55535287" type="audio/mpeg"/>
      <itunes:author>Brad Porter </itunes:author>
      <itunes:duration>3464</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>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.</p>]]>
      </itunes:summary>
      <itunes:keywords>Physical AI, Robotics, Robots, AI, Artificial Intelligence, Humanoids, Warehouse Automation, Autonomous Mobile Robots, Physical AI Deployment, Robot Deployment, Healthcare Automation, Investing, VC, Venture Capital, Startups</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>The Global Software Market Is Just Too Small: Bilal Zuberi on Physical AI's Moment</title>
      <itunes:title>The Global Software Market Is Just Too Small: Bilal Zuberi on Physical AI's Moment</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/b012a3f8</link>
      <description>
        <![CDATA[<p>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.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>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.</p>]]>
      </content:encoded>
      <pubDate>Tue, 21 Apr 2026 08:45:00 -0700</pubDate>
      <author>Brad Porter </author>
      <enclosure url="https://media.transistor.fm/b012a3f8/47ef678e.mp3" length="48950759" type="audio/mpeg"/>
      <itunes:author>Brad Porter </itunes:author>
      <itunes:duration>3053</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>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.</p>]]>
      </itunes:summary>
      <itunes:keywords>Physical AI, Robotics, Robots, AI, Artificial Intelligence, Humanoids, Warehouse Automation, Autonomous Mobile Robots, Physical AI Deployment, Robot Deployment, Healthcare Automation, Investing, VC, Venture Capital, Startups</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Is The World Really Built for Humans? Unlocking AI’s Potential with Alfred Lin</title>
      <itunes:title>Is The World Really Built for Humans? Unlocking AI’s Potential with Alfred Lin</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/ca7bc3c8</link>
      <description>
        <![CDATA[<p>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.</p><p>Sign up for exclusive insights from leaders in Physical AI and Robotics: <a href="https://cobot-deployed.com/RSS2">https://cobot-deployed.com/RSS2</a></p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>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.</p><p>Sign up for exclusive insights from leaders in Physical AI and Robotics: <a href="https://cobot-deployed.com/RSS2">https://cobot-deployed.com/RSS2</a></p>]]>
      </content:encoded>
      <pubDate>Tue, 07 Apr 2026 08:45:00 -0700</pubDate>
      <author>Brad Porter </author>
      <enclosure url="https://media.transistor.fm/ca7bc3c8/3d72c256.mp3" length="48497349" type="audio/mpeg"/>
      <itunes:author>Brad Porter </itunes:author>
      <itunes:duration>3025</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>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.</p><p>Sign up for exclusive insights from leaders in Physical AI and Robotics: <a href="https://cobot-deployed.com/RSS2">https://cobot-deployed.com/RSS2</a></p>]]>
      </itunes:summary>
      <itunes:keywords>Physical AI, Robotics, Robots, AI, Artificial Intelligence, Humanoids, Warehouse Automation, Autonomous Mobile Robots, Physical AI Deployment, Robot Deployment, Healthcare Automation, Investing, VC, Venture Capital, Startups</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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    <item>
      <title>Scale like Amazon: How Jeff Wilke is Rebuilding USA Manufacturing</title>
      <itunes:title>Scale like Amazon: How Jeff Wilke is Rebuilding USA Manufacturing</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/b27cbf3a</link>
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        <![CDATA[<p>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.</p><p><br>Sign up for exclusive insights from leaders in Physical AI and Robotics: <a href="https://cobot-deployed.com/RSS1">https://cobot-deployed.com/RSS1</a></p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>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.</p><p><br>Sign up for exclusive insights from leaders in Physical AI and Robotics: <a href="https://cobot-deployed.com/RSS1">https://cobot-deployed.com/RSS1</a></p>]]>
      </content:encoded>
      <pubDate>Tue, 24 Mar 2026 08:48:44 -0700</pubDate>
      <author>Brad Porter </author>
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      <itunes:author>Brad Porter </itunes:author>
      <itunes:duration>3608</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>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.</p><p><br>Sign up for exclusive insights from leaders in Physical AI and Robotics: <a href="https://cobot-deployed.com/RSS1">https://cobot-deployed.com/RSS1</a></p>]]>
      </itunes:summary>
      <itunes:keywords>Physical AI, Robotics, Robots, AI, Artificial Intelligence, Humanoids, Warehouse Automation, Autonomous Mobile Robots, Physical AI Deployment, Robot Deployment, Healthcare Automation, Investing, VC, Venture Capital, Startups</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/b27cbf3a/transcript.txt" type="text/plain"/>
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      <description>
        <![CDATA[<p>Deployed Episode One Drops 3/24 9AM PST.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Deployed Episode One Drops 3/24 9AM PST.</p>]]>
      </content:encoded>
      <pubDate>Fri, 20 Mar 2026 15:30:58 -0700</pubDate>
      <author>Brad Porter </author>
      <enclosure url="https://media.transistor.fm/b4ef3f76/c47d0794.mp3" length="299843" type="audio/mpeg"/>
      <itunes:author>Brad Porter </itunes:author>
      <itunes:duration>12</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Deployed Episode One Drops 3/24 9AM PST.</p>]]>
      </itunes:summary>
      <itunes:keywords>Physical AI, Robotics, Robots, AI, Artificial Intelligence, Humanoids, Warehouse Automation, Autonomous Mobile Robots, Physical AI Deployment, Robot Deployment, Healthcare Automation, Investing, VC, Venture Capital, Startups</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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