<description>&lt;p&gt;As I use AI, I&amp;#39;m finding that I create MORE work for myself, not less. One task completed means five more to do. This is the paradox of today - AI might actually mean more work, not less. &lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;I talk about this, the Data Day Texas final episode, and more.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;Check out the review I did of Cube&amp;#39;s new analytics agent: https://www.youtube.com/watch?v=p3frGJOUl1E&lt;/p&gt;&lt;p&gt;(Thanks to Cube for partnering on the review)&lt;/p&gt;
</description>

As I use AI, I&#39;m finding that I create MORE work for myself, not less. One task completed means five more to do. This is the paradox of today - AI might actually mean more work, not less. I talk about this, the Data Day Texas final episode, and more. Check out the review I did of Cube&#39;s new analytics agent: https://www.youtube.com/watch?v=p3frGJOUl1E(Thanks to Cube for partnering on the review)

Freestyle Fridays - Why AI (Might) Mean More Work, Not Less

<description>&lt;p&gt;Lak Lakshmanan had a successful career in Private Equity and Big Tech, but he realized he couldn&amp;#39;t just &amp;quot;coach the game&amp;quot; while the rules were changing. He had to get back on the field play it. We discuss vertical AI, the &amp;quot;foolhardiness&amp;quot; required to start a company , the reality of the AI technology wave, and why sitting on the sidelines is the biggest risk of all.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;LinkedIn: https://www.linkedin.com/in/valliappalakshmanan&lt;/p&gt;&lt;p&gt;Generative AI Design Patterns (book): https://amzn.to/45v0xBO&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;
</description>

Lak Lakshmanan had a successful career in Private Equity and Big Tech, but he realized he couldn&#39;t just &quot;coach the game&quot; while the rules were changing. He had to get back on the field play it. We discuss vertical AI, the &quot;foolhardiness&quot; required to start a company , the reality of the AI technology wave, and why sitting on the sidelines is the biggest risk of all. LinkedIn: https://www.linkedin.com/in/valliappalakshmananGenerative AI Design Patterns (book): https://amzn.to/45v0xBO

"I Needed to Be Back in the Game": Leaving PE & Big Tech to Build Vertical AI w/ Lak Lakshmanan 

<description>&lt;p&gt;In this episode, I talk about how I&amp;#39;m kind of living in a bubble of cool tech and AI, and how the 99% of businesses out there are still grappling with the same old data and tech problems they&amp;#39;ve always dealt with.&lt;/p&gt;&lt;p&gt;I also talk about how me and my friends are using AI to automate the boring stuff and scratch our own itches.&lt;/p&gt;
</description>

In this episode, I talk about how I&#39;m kind of living in a bubble of cool tech and AI, and how the 99% of businesses out there are still grappling with the same old data and tech problems they&#39;ve always dealt with.I also talk about how me and my friends are using AI to automate the boring stuff and scratch our own itches.

Freestyle Fridays - The 99% of Businesses and AI, and More.

<description>&lt;p&gt;In this episode, I sit down with science fiction author, activist, and journalist Cory Doctorow to unpack his viral concept of Enshitification, the three-act tragedy of platform decay: &lt;/p&gt;&lt;p&gt;1. be good to users &lt;/p&gt;&lt;p&gt;2. lock them in &lt;/p&gt;&lt;p&gt;3. extract value from users to feed advertisers and shareholders&lt;/p&gt;&lt;p&gt;We also dive into:&lt;/p&gt;&lt;p&gt;- The AI bubble: Cory’s case that parts of the sector are propped up by aggressive accounting and incentives, not durable value.&lt;/p&gt;&lt;p&gt;- The “Reverse Centaur”: How workers (from Amazon drivers to radiologists) are being reorganized to serve machine workflows, rather than machines serving humans.&lt;/p&gt;&lt;p&gt;- Software engineering vs. “vibe coding”: Why autocomplete isn’t engineering, and why AI can’t replace process knowledge and domain context.&lt;/p&gt;&lt;p&gt;- The Post-American Internet: What happens when the U.S. weaponizes platforms, and the rest of the world builds alternatives.&lt;/p&gt;&lt;p&gt;About Cory Doctorow: Cory is a multi-time international bestselling author, special advisor to the Electronic Frontier Foundation, and creator of the blog/newsletter Pluralistic.&lt;/p&gt;&lt;p&gt;If you got value from this conversation, hit Follow and share it with one person who cares about the future of tech.&lt;/p&gt;
</description>

In this episode, I sit down with science fiction author, activist, and journalist Cory Doctorow to unpack his viral concept of Enshitification, the three-act tragedy of platform decay: 1. be good to users 2. lock them in 3. extract value from users to feed advertisers and shareholdersWe also dive into:- The AI bubble: Cory’s case that parts of the sector are propped up by aggressive accounting and incentives, not durable value.- The “Reverse Centaur”: How workers (from Amazon drivers to radiologists) are being reorganized to serve machine workflows, rather than machines serving humans.- Software engineering vs. “vibe coding”: Why autocomplete isn’t engineering, and why AI can’t replace process knowledge and domain context.- The Post-American Internet: What happens when the U.S. weaponizes platforms, and the rest of the world builds alternatives.About Cory Doctorow: Cory is a multi-time international bestselling author, special advisor to the Electronic Frontier Foundation, and creator of the blog/newsletter Pluralistic.If you got value from this conversation, hit Follow and share it with one person who cares about the future of tech.

Cory Doctorow on Enshitification, The AI Bubble, Reverse Centaurs, and The Post-American Internet

<description>&lt;p&gt;Tech is full of smart people with smart ideas - enterprise data models, ontologies, data mesh, proprietary AI strategies - that repeatedly fail to gain traction. When they fail, the blame usually goes to &amp;quot;stupid users&amp;quot;, &amp;quot;lazy and immature organizations.&amp;quot; Perhaps, but I don&amp;#39;t think that&amp;#39;s the whole story, and if you adopt that mindset, you&amp;#39;re sure to keep failing.&lt;/p&gt;&lt;p&gt;I think there&amp;#39;s more to the story. Listen and find out...&lt;/p&gt;
</description>

Tech is full of smart people with smart ideas - enterprise data models, ontologies, data mesh, proprietary AI strategies - that repeatedly fail to gain traction. When they fail, the blame usually goes to &quot;stupid users&quot;, &quot;lazy and immature organizations.&quot; Perhaps, but I don&#39;t think that&#39;s the whole story, and if you adopt that mindset, you&#39;re sure to keep failing.I think there&#39;s more to the story. Listen and find out...

Why Smart Ideas in Tech Keep Failing (And Why We Suck at Selling)

What happens when a best-selling author and "recovering data scientist" gets a microphone? This podcast. 

I'm Joe Reis, and each week I broadcast from wherever I am in the world, sharing candid thoughts on the data, tech, and AI industry. 

Sometimes it's a solo rant. Other times, I'm chatting with the smartest people I know. 

If you're looking for an unfiltered perspective on the state of AI, data, and tech, you've found it.

The Joe Reis Show

Details

Recent Episodes