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    <title>The Memo</title>
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    <description>The inside memo on how commercial real estate is actually adopting AI. Each week, we talk with the owners, operators, lenders, brokers, developers, and technology leaders turning AI from boardroom discussion into business process. From leasing and asset management to acquisitions, property operations, credit, construction, and investor reporting, we unpack what’s working, what’s changed, and what CRE still won’t trust AI to touch.</description>
    <copyright>© Examen Inc. 2026</copyright>
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    <podcast:locked>yes</podcast:locked>
    <language>en</language>
    <pubDate>Fri, 09 Oct 2026 08:00:09 -0700</pubDate>
    <lastBuildDate>Fri, 09 Oct 2026 08:02:12 -0700</lastBuildDate>
    <link>https://examen.ai</link>
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      <title>The Memo</title>
      <link>https://examen.ai</link>
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    <itunes:category text="Technology"/>
    <itunes:type>episodic</itunes:type>
    <itunes:author>Ricardo Chamorro</itunes:author>
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    <itunes:summary>The inside memo on how commercial real estate is actually adopting AI. Each week, we talk with the owners, operators, lenders, brokers, developers, and technology leaders turning AI from boardroom discussion into business process. From leasing and asset management to acquisitions, property operations, credit, construction, and investor reporting, we unpack what’s working, what’s changed, and what CRE still won’t trust AI to touch.</itunes:summary>
    <itunes:subtitle>The inside memo on how commercial real estate is actually adopting AI.</itunes:subtitle>
    <itunes:keywords>commercial real estate, CRE, AI in real estate, real estate AI, proptech, artificial intelligence, AI adoption, real estate technology, CRE technology, asset management, acquisitions, property operations, leasing, underwriting, credit and lending, construction technology, investor reporting, real estate finance, commercial real estate investing, CRE operators, real estate innovation, digital transformation, proptech podcast, real estate podcast</itunes:keywords>
    <itunes:owner>
      <itunes:name>Examen Inc.</itunes:name>
      <itunes:email>management@thepod.fm</itunes:email>
    </itunes:owner>
    <itunes:complete>No</itunes:complete>
    <itunes:explicit>No</itunes:explicit>
    <item>
      <title>Dhruv Basu on the Big Bets Reshaping Chicago Real Estate</title>
      <itunes:episode>3</itunes:episode>
      <podcast:episode>3</podcast:episode>
      <itunes:title>Dhruv Basu on the Big Bets Reshaping Chicago Real Estate</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://thememo.transistor.fm/3</link>
      <description>
        <![CDATA[<p>A credit trained investor is making a $3.8 billion district pencil on 48 acres of Chicago lakefront, and he is doing it inside a 20 person shop that leans on AI harder than most institutions ever will. Dhruv Basu, Director, Investments at Farpoint Development, came to development through fixed income at Goldman Sachs, a stint on Mayor Ben McAdams' housing council in Salt Lake County, and Chicago Booth. He talks with Ricardo Chamorro about opportunity cost, the Michael Reese site, repositioning on the Magnificent Mile, and where he draws the line on what AI touches.</p>
<p><br></p>
<p>Chapters:</p>
<p>00:00 Lean into it before the bear catches you</p>
<p>00:35 What The Memo is</p>
<p>01:09 Meet Dhruv Basu and the Farpoint 48 acre district</p>
<p>01:52 From accounting to Goldman to development</p>
<p>02:40 Salt Lake housing council and buying a shopping center</p>
<p>04:59 What a credit brain sees that developers miss</p>
<p>06:34 The five eggs and opportunity cost</p>
<p>07:24 What Booth taught about the time value of time</p>
<p>08:07 Inside the 48 acre Bronzeville site</p>
<p>09:42 Managing city, community, and equity stakeholders</p>
<p>10:23 How a 20 person team splits the work</p>
<p>12:40 Repositioning on the Magnificent Mile</p>
<p>15:53 What outsiders get wrong about Chicago</p>
<p>17:21 Technology then versus now in development</p>
<p>19:20 Is AI a bigger wave than everything else</p>
<p>21:00 Where AI unlocks hours in a lean shop</p>
<p>23:22 Why lean shops move faster than institutions</p>
<p>25:43 Running alongside the beast, not fighting it</p>
<p>26:53 A foundation settlement example</p>
<p>28:20 Why a beast and not a rocket ship</p>
<p>29:59 Will AI ever replace judgment</p>
<p>31:42 What Dhruv hands over and what he won't</p>
<p>34:10 The risk of the gap getting wider</p>
<p>35:43 Would he take the same path again</p>
<p>37:23 Chicago, no regrets</p>
<p>38:09 Advice for someone starting out in 2026</p>
<p>40:17 The one AI move to make this year</p>
<p>41:58 Rapid fire</p>
<p><br></p>
<p>You can follow Dhruv Basu here:</p>
<p>LinkedIn - <a href="https://linkedin.com/in/dhruv-basu-48479562">https://linkedin.com/in/dhruv-basu-48479562</a></p>
<p><br></p>
<p>Learn more about Farpoint Development:</p>
<p>Website - <a href="https://farpointdev.com">https://farpointdev.com</a></p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>A credit trained investor is making a $3.8 billion district pencil on 48 acres of Chicago lakefront, and he is doing it inside a 20 person shop that leans on AI harder than most institutions ever will. Dhruv Basu, Director, Investments at Farpoint Development, came to development through fixed income at Goldman Sachs, a stint on Mayor Ben McAdams' housing council in Salt Lake County, and Chicago Booth. He talks with Ricardo Chamorro about opportunity cost, the Michael Reese site, repositioning on the Magnificent Mile, and where he draws the line on what AI touches.</p>
<p><br></p>
<p>Chapters:</p>
<p>00:00 Lean into it before the bear catches you</p>
<p>00:35 What The Memo is</p>
<p>01:09 Meet Dhruv Basu and the Farpoint 48 acre district</p>
<p>01:52 From accounting to Goldman to development</p>
<p>02:40 Salt Lake housing council and buying a shopping center</p>
<p>04:59 What a credit brain sees that developers miss</p>
<p>06:34 The five eggs and opportunity cost</p>
<p>07:24 What Booth taught about the time value of time</p>
<p>08:07 Inside the 48 acre Bronzeville site</p>
<p>09:42 Managing city, community, and equity stakeholders</p>
<p>10:23 How a 20 person team splits the work</p>
<p>12:40 Repositioning on the Magnificent Mile</p>
<p>15:53 What outsiders get wrong about Chicago</p>
<p>17:21 Technology then versus now in development</p>
<p>19:20 Is AI a bigger wave than everything else</p>
<p>21:00 Where AI unlocks hours in a lean shop</p>
<p>23:22 Why lean shops move faster than institutions</p>
<p>25:43 Running alongside the beast, not fighting it</p>
<p>26:53 A foundation settlement example</p>
<p>28:20 Why a beast and not a rocket ship</p>
<p>29:59 Will AI ever replace judgment</p>
<p>31:42 What Dhruv hands over and what he won't</p>
<p>34:10 The risk of the gap getting wider</p>
<p>35:43 Would he take the same path again</p>
<p>37:23 Chicago, no regrets</p>
<p>38:09 Advice for someone starting out in 2026</p>
<p>40:17 The one AI move to make this year</p>
<p>41:58 Rapid fire</p>
<p><br></p>
<p>You can follow Dhruv Basu here:</p>
<p>LinkedIn - <a href="https://linkedin.com/in/dhruv-basu-48479562">https://linkedin.com/in/dhruv-basu-48479562</a></p>
<p><br></p>
<p>Learn more about Farpoint Development:</p>
<p>Website - <a href="https://farpointdev.com">https://farpointdev.com</a></p>]]>
      </content:encoded>
      <pubDate>Fri, 09 Oct 2026 08:00:00 -0700</pubDate>
      <author>Ricardo Chamorro</author>
      <enclosure url="https://media.transistor.fm/f67bac04/2bf73385.mp3" length="56892863" type="audio/mpeg"/>
      <itunes:author>Ricardo Chamorro</itunes:author>
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      <itunes:duration>2371</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>A credit trained investor is making a $3.8 billion district pencil on 48 acres of Chicago lakefront, and he is doing it inside a 20 person shop that leans on AI harder than most institutions ever will. Dhruv Basu, Director, Investments at Farpoint Development, came to development through fixed income at Goldman Sachs, a stint on Mayor Ben McAdams' housing council in Salt Lake County, and Chicago Booth. He talks with Ricardo Chamorro about opportunity cost, the Michael Reese site, repositioning on the Magnificent Mile, and where he draws the line on what AI touches.</p>
<p><br></p>
<p>Chapters:</p>
<p>00:00 Lean into it before the bear catches you</p>
<p>00:35 What The Memo is</p>
<p>01:09 Meet Dhruv Basu and the Farpoint 48 acre district</p>
<p>01:52 From accounting to Goldman to development</p>
<p>02:40 Salt Lake housing council and buying a shopping center</p>
<p>04:59 What a credit brain sees that developers miss</p>
<p>06:34 The five eggs and opportunity cost</p>
<p>07:24 What Booth taught about the time value of time</p>
<p>08:07 Inside the 48 acre Bronzeville site</p>
<p>09:42 Managing city, community, and equity stakeholders</p>
<p>10:23 How a 20 person team splits the work</p>
<p>12:40 Repositioning on the Magnificent Mile</p>
<p>15:53 What outsiders get wrong about Chicago</p>
<p>17:21 Technology then versus now in development</p>
<p>19:20 Is AI a bigger wave than everything else</p>
<p>21:00 Where AI unlocks hours in a lean shop</p>
<p>23:22 Why lean shops move faster than institutions</p>
<p>25:43 Running alongside the beast, not fighting it</p>
<p>26:53 A foundation settlement example</p>
<p>28:20 Why a beast and not a rocket ship</p>
<p>29:59 Will AI ever replace judgment</p>
<p>31:42 What Dhruv hands over and what he won't</p>
<p>34:10 The risk of the gap getting wider</p>
<p>35:43 Would he take the same path again</p>
<p>37:23 Chicago, no regrets</p>
<p>38:09 Advice for someone starting out in 2026</p>
<p>40:17 The one AI move to make this year</p>
<p>41:58 Rapid fire</p>
<p><br></p>
<p>You can follow Dhruv Basu here:</p>
<p>LinkedIn - <a href="https://linkedin.com/in/dhruv-basu-48479562">https://linkedin.com/in/dhruv-basu-48479562</a></p>
<p><br></p>
<p>Learn more about Farpoint Development:</p>
<p>Website - <a href="https://farpointdev.com">https://farpointdev.com</a></p>]]>
      </itunes:summary>
      <itunes:keywords>commercial real estate, development, Chicago, AI in CRE, Dhruv Basu, Farpoint Development, credit, Magnificent Mile, underwriting, lease abstraction</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/f67bac04/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Making Housing Affordable with Michael Behot</title>
      <itunes:episode>2</itunes:episode>
      <podcast:episode>2</podcast:episode>
      <itunes:title>Making Housing Affordable with Michael Behot</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">7b7c3687-5b8a-4ffd-a951-0ee9e5933d29</guid>
      <link>https://thememo.transistor.fm/2</link>
      <description>
        <![CDATA[<p>Affordable housing operators work the expense side of the statement because their income is capped, while market rate teams fight for every tenant on the income side. Michael Behot has run both books. As VP of Asset Management at RPM Development Group in Montclair, New Jersey, he moved from institutional market rate work at Heritage Capital Group and Castle Lanterra into regulated affordable housing, so he can say where AI already earns its keep in accounting and billing, where it fails on compliance, and why the local data that never got built by hand in 2012 is now within reach.</p>
<p><br></p>
<p>Chapters:</p>
<p>00:00 Two sides of the same business</p>
<p>01:00 From DC development to affordable housing in New Jersey</p>
<p>02:44 What an asset manager does all day</p>
<p>04:36 Moving from good to excellent at the job</p>
<p>05:18 Why equilibrium matters more in affordable housing</p>
<p>06:35 What each side gets wrong about the other</p>
<p>08:41 RPM's in-house model and its tradeoffs</p>
<p>10:34 Specialized knowledge of subsidy programs</p>
<p>11:17 Old buildings given a second life</p>
<p>13:20 LIHTC versus Section 8, explained</p>
<p>16:40 What separates a building that runs well from one that doesn't</p>
<p>17:56 Finding and keeping great site staff</p>
<p>18:33 What RPM has tried with AI so far</p>
<p>21:21 The gap between AI ideas and implementation</p>
<p>22:42 Will AI widen the gap between big and small firms</p>
<p>24:00 Why AI usage clusters in leasing and resident communications</p>
<p>26:42 The compliance problem AI has to get perfect</p>
<p>28:34 The data side and building a property income database</p>
<p>34:08 What would actually unlock more affordable housing</p>
<p>36:53 AI, faster approvals, and cutting red tape</p>
<p>40:17 Reaching residents and one-off affordable units</p>
<p>41:00 Rapid fire: strange buildings and career advice</p>
<p><br></p>
<p>You can follow Michael Behot here:</p>
<p>LinkedIn - <a href="https://linkedin.com/in/michael-behot-6aa28017">https://linkedin.com/in/michael-behot-6aa28017</a></p>
<p><br></p>
<p>Learn more about RPM Development Group:</p>
<p>Website - <a href="https://rpmdev.com">https://rpmdev.com</a></p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Affordable housing operators work the expense side of the statement because their income is capped, while market rate teams fight for every tenant on the income side. Michael Behot has run both books. As VP of Asset Management at RPM Development Group in Montclair, New Jersey, he moved from institutional market rate work at Heritage Capital Group and Castle Lanterra into regulated affordable housing, so he can say where AI already earns its keep in accounting and billing, where it fails on compliance, and why the local data that never got built by hand in 2012 is now within reach.</p>
<p><br></p>
<p>Chapters:</p>
<p>00:00 Two sides of the same business</p>
<p>01:00 From DC development to affordable housing in New Jersey</p>
<p>02:44 What an asset manager does all day</p>
<p>04:36 Moving from good to excellent at the job</p>
<p>05:18 Why equilibrium matters more in affordable housing</p>
<p>06:35 What each side gets wrong about the other</p>
<p>08:41 RPM's in-house model and its tradeoffs</p>
<p>10:34 Specialized knowledge of subsidy programs</p>
<p>11:17 Old buildings given a second life</p>
<p>13:20 LIHTC versus Section 8, explained</p>
<p>16:40 What separates a building that runs well from one that doesn't</p>
<p>17:56 Finding and keeping great site staff</p>
<p>18:33 What RPM has tried with AI so far</p>
<p>21:21 The gap between AI ideas and implementation</p>
<p>22:42 Will AI widen the gap between big and small firms</p>
<p>24:00 Why AI usage clusters in leasing and resident communications</p>
<p>26:42 The compliance problem AI has to get perfect</p>
<p>28:34 The data side and building a property income database</p>
<p>34:08 What would actually unlock more affordable housing</p>
<p>36:53 AI, faster approvals, and cutting red tape</p>
<p>40:17 Reaching residents and one-off affordable units</p>
<p>41:00 Rapid fire: strange buildings and career advice</p>
<p><br></p>
<p>You can follow Michael Behot here:</p>
<p>LinkedIn - <a href="https://linkedin.com/in/michael-behot-6aa28017">https://linkedin.com/in/michael-behot-6aa28017</a></p>
<p><br></p>
<p>Learn more about RPM Development Group:</p>
<p>Website - <a href="https://rpmdev.com">https://rpmdev.com</a></p>]]>
      </content:encoded>
      <pubDate>Fri, 25 Sep 2026 08:00:00 -0700</pubDate>
      <author>Ricardo Chamorro</author>
      <enclosure url="https://media.transistor.fm/3862e954/d77f95a9.mp3" length="65797274" type="audio/mpeg"/>
      <itunes:author>Ricardo Chamorro</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/p1wKKLKTO3Y4Hyr7V7MswIKEh0t4ZHChOWn3_hJlHsM/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84MzVj/NDdmMjFkYmZiZjg3/Mzk2ODMwZjFlYWNi/NTUyZi5wbmc.jpg"/>
      <itunes:duration>2742</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Affordable housing operators work the expense side of the statement because their income is capped, while market rate teams fight for every tenant on the income side. Michael Behot has run both books. As VP of Asset Management at RPM Development Group in Montclair, New Jersey, he moved from institutional market rate work at Heritage Capital Group and Castle Lanterra into regulated affordable housing, so he can say where AI already earns its keep in accounting and billing, where it fails on compliance, and why the local data that never got built by hand in 2012 is now within reach.</p>
<p><br></p>
<p>Chapters:</p>
<p>00:00 Two sides of the same business</p>
<p>01:00 From DC development to affordable housing in New Jersey</p>
<p>02:44 What an asset manager does all day</p>
<p>04:36 Moving from good to excellent at the job</p>
<p>05:18 Why equilibrium matters more in affordable housing</p>
<p>06:35 What each side gets wrong about the other</p>
<p>08:41 RPM's in-house model and its tradeoffs</p>
<p>10:34 Specialized knowledge of subsidy programs</p>
<p>11:17 Old buildings given a second life</p>
<p>13:20 LIHTC versus Section 8, explained</p>
<p>16:40 What separates a building that runs well from one that doesn't</p>
<p>17:56 Finding and keeping great site staff</p>
<p>18:33 What RPM has tried with AI so far</p>
<p>21:21 The gap between AI ideas and implementation</p>
<p>22:42 Will AI widen the gap between big and small firms</p>
<p>24:00 Why AI usage clusters in leasing and resident communications</p>
<p>26:42 The compliance problem AI has to get perfect</p>
<p>28:34 The data side and building a property income database</p>
<p>34:08 What would actually unlock more affordable housing</p>
<p>36:53 AI, faster approvals, and cutting red tape</p>
<p>40:17 Reaching residents and one-off affordable units</p>
<p>41:00 Rapid fire: strange buildings and career advice</p>
<p><br></p>
<p>You can follow Michael Behot here:</p>
<p>LinkedIn - <a href="https://linkedin.com/in/michael-behot-6aa28017">https://linkedin.com/in/michael-behot-6aa28017</a></p>
<p><br></p>
<p>Learn more about RPM Development Group:</p>
<p>Website - <a href="https://rpmdev.com">https://rpmdev.com</a></p>]]>
      </itunes:summary>
      <itunes:keywords>affordable housing, asset management, Section 8, LIHTC, tax credits, compliance, commercial real estate, AI adoption, property management, underwriting</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/3862e954/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Smelling the Gunpowder with Mark Conroe</title>
      <itunes:episode>2</itunes:episode>
      <podcast:episode>2</podcast:episode>
      <itunes:title>Smelling the Gunpowder with Mark Conroe</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">faa16236-9deb-4127-9e0e-a1151cbb6890</guid>
      <link>https://thememo.transistor.fm/2</link>
      <description>
        <![CDATA[<p>AI can translate a 90 page Spanish contract in three minutes, then tell you to hire a lawyer anyway. Mark Conroe, Managing Partner and Founder of Presidio Development Partners, has spent 40 years developing apartments, hotels, office, and retail across the Bay Area, building Cisco's and Adobe's first campuses and running two national companies before starting his own firm. He tells Ricardo Chamorro where AI gets him fast, where it sends him down dry holes, and why the last mile still runs on wisdom, experience, and knowing how to read a room.</p>
<p><br></p>
<p>Chapters:</p>
<p>00:00 The next lifetime: gratitude and coming back to the start</p>
<p>01:20 Meet Mark Conroe: 40 years of Bay Area development</p>
<p>02:10 From Stanford engineering to real estate, and Silicon Valley before the name</p>
<p>03:44 Why real estate is slow to adopt new technology</p>
<p>04:35 Building Cisco's and Adobe's first campuses</p>
<p>05:51 Comparing development in Boise and San Francisco</p>
<p>06:46 The technology waves that changed the work: calculators, cell phones, email</p>
<p>08:20 Recorded meetings, litigation, and letting AI into everything</p>
<p>09:57 Handwritten spreadsheets and hidden errors</p>
<p>10:43 The Baja land deal: 90 pages of Spanish and the lawyer he still hired</p>
<p>12:19 The last mile problem: getting to 8 out of 10</p>
<p>13:03 Backcasting a dock approval to test how AI thinks</p>
<p>14:54 Average answers versus the exception, and smelling opportunity</p>
<p>16:10 Can the next generation earn wisdom AI can't give them?</p>
<p>17:10 Who gets supercharged and which jobs stay human</p>
<p>18:52 Where Mark finds the most time savings day to day</p>
<p>20:12 The chainsaw joke: integration and implementation</p>
<p>21:52 Going paperless first, and cutting off hundreds of vendors</p>
<p>23:19 San Francisco's boom and bust economy</p>
<p>25:02 Living through the downturns since 1985</p>
<p>28:04 Why the last San Francisco crash was self induced</p>
<p>29:45 Starting Presidio Development Partners and the entrepreneurial itch</p>
<p>33:09 The cultural shift toward entrepreneurship</p>
<p>35:16 What Mark would tell a 25 year old starting today</p>
<p>39:28 Catching the apple before it hits the ground</p>
<p>41:21 Data centers, taking a position, and playing the long game</p>
<p>43:41 A contrarian AI take for firms that want to go paperless again</p>
<p>45:58 Smelling the roses versus smelling the gunpowder</p>
<p>47:22 The balancing act: check the work or fall behind your peers</p>
<p>49:10 The fastest way to get fired: handing off raw AI output</p>
<p>51:44 The next lifetime and what still brings Mark back to the table</p>
<p><br></p>
<p>Learn more about Presidio Development Partners:</p>
<p>Website - <a href="https://presidiodp.com">https://presidiodp.com</a></p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>AI can translate a 90 page Spanish contract in three minutes, then tell you to hire a lawyer anyway. Mark Conroe, Managing Partner and Founder of Presidio Development Partners, has spent 40 years developing apartments, hotels, office, and retail across the Bay Area, building Cisco's and Adobe's first campuses and running two national companies before starting his own firm. He tells Ricardo Chamorro where AI gets him fast, where it sends him down dry holes, and why the last mile still runs on wisdom, experience, and knowing how to read a room.</p>
<p><br></p>
<p>Chapters:</p>
<p>00:00 The next lifetime: gratitude and coming back to the start</p>
<p>01:20 Meet Mark Conroe: 40 years of Bay Area development</p>
<p>02:10 From Stanford engineering to real estate, and Silicon Valley before the name</p>
<p>03:44 Why real estate is slow to adopt new technology</p>
<p>04:35 Building Cisco's and Adobe's first campuses</p>
<p>05:51 Comparing development in Boise and San Francisco</p>
<p>06:46 The technology waves that changed the work: calculators, cell phones, email</p>
<p>08:20 Recorded meetings, litigation, and letting AI into everything</p>
<p>09:57 Handwritten spreadsheets and hidden errors</p>
<p>10:43 The Baja land deal: 90 pages of Spanish and the lawyer he still hired</p>
<p>12:19 The last mile problem: getting to 8 out of 10</p>
<p>13:03 Backcasting a dock approval to test how AI thinks</p>
<p>14:54 Average answers versus the exception, and smelling opportunity</p>
<p>16:10 Can the next generation earn wisdom AI can't give them?</p>
<p>17:10 Who gets supercharged and which jobs stay human</p>
<p>18:52 Where Mark finds the most time savings day to day</p>
<p>20:12 The chainsaw joke: integration and implementation</p>
<p>21:52 Going paperless first, and cutting off hundreds of vendors</p>
<p>23:19 San Francisco's boom and bust economy</p>
<p>25:02 Living through the downturns since 1985</p>
<p>28:04 Why the last San Francisco crash was self induced</p>
<p>29:45 Starting Presidio Development Partners and the entrepreneurial itch</p>
<p>33:09 The cultural shift toward entrepreneurship</p>
<p>35:16 What Mark would tell a 25 year old starting today</p>
<p>39:28 Catching the apple before it hits the ground</p>
<p>41:21 Data centers, taking a position, and playing the long game</p>
<p>43:41 A contrarian AI take for firms that want to go paperless again</p>
<p>45:58 Smelling the roses versus smelling the gunpowder</p>
<p>47:22 The balancing act: check the work or fall behind your peers</p>
<p>49:10 The fastest way to get fired: handing off raw AI output</p>
<p>51:44 The next lifetime and what still brings Mark back to the table</p>
<p><br></p>
<p>Learn more about Presidio Development Partners:</p>
<p>Website - <a href="https://presidiodp.com">https://presidiodp.com</a></p>]]>
      </content:encoded>
      <pubDate>Fri, 11 Sep 2026 08:00:00 -0700</pubDate>
      <author>Ricardo Chamorro</author>
      <enclosure url="https://media.transistor.fm/c4f8e791/7ece9827.mp3" length="80717790" type="audio/mpeg"/>
      <itunes:author>Ricardo Chamorro</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/FrVzQRSMlPiOduixykrv1JkqdqnPbfLP_7xEoh7dDfg/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jODQ4/OTI0NDU5MjRlYTQ0/ODRhNTNkN2I4YzU3/OGNkOC5wbmc.jpg"/>
      <itunes:duration>3364</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>AI can translate a 90 page Spanish contract in three minutes, then tell you to hire a lawyer anyway. Mark Conroe, Managing Partner and Founder of Presidio Development Partners, has spent 40 years developing apartments, hotels, office, and retail across the Bay Area, building Cisco's and Adobe's first campuses and running two national companies before starting his own firm. He tells Ricardo Chamorro where AI gets him fast, where it sends him down dry holes, and why the last mile still runs on wisdom, experience, and knowing how to read a room.</p>
<p><br></p>
<p>Chapters:</p>
<p>00:00 The next lifetime: gratitude and coming back to the start</p>
<p>01:20 Meet Mark Conroe: 40 years of Bay Area development</p>
<p>02:10 From Stanford engineering to real estate, and Silicon Valley before the name</p>
<p>03:44 Why real estate is slow to adopt new technology</p>
<p>04:35 Building Cisco's and Adobe's first campuses</p>
<p>05:51 Comparing development in Boise and San Francisco</p>
<p>06:46 The technology waves that changed the work: calculators, cell phones, email</p>
<p>08:20 Recorded meetings, litigation, and letting AI into everything</p>
<p>09:57 Handwritten spreadsheets and hidden errors</p>
<p>10:43 The Baja land deal: 90 pages of Spanish and the lawyer he still hired</p>
<p>12:19 The last mile problem: getting to 8 out of 10</p>
<p>13:03 Backcasting a dock approval to test how AI thinks</p>
<p>14:54 Average answers versus the exception, and smelling opportunity</p>
<p>16:10 Can the next generation earn wisdom AI can't give them?</p>
<p>17:10 Who gets supercharged and which jobs stay human</p>
<p>18:52 Where Mark finds the most time savings day to day</p>
<p>20:12 The chainsaw joke: integration and implementation</p>
<p>21:52 Going paperless first, and cutting off hundreds of vendors</p>
<p>23:19 San Francisco's boom and bust economy</p>
<p>25:02 Living through the downturns since 1985</p>
<p>28:04 Why the last San Francisco crash was self induced</p>
<p>29:45 Starting Presidio Development Partners and the entrepreneurial itch</p>
<p>33:09 The cultural shift toward entrepreneurship</p>
<p>35:16 What Mark would tell a 25 year old starting today</p>
<p>39:28 Catching the apple before it hits the ground</p>
<p>41:21 Data centers, taking a position, and playing the long game</p>
<p>43:41 A contrarian AI take for firms that want to go paperless again</p>
<p>45:58 Smelling the roses versus smelling the gunpowder</p>
<p>47:22 The balancing act: check the work or fall behind your peers</p>
<p>49:10 The fastest way to get fired: handing off raw AI output</p>
<p>51:44 The next lifetime and what still brings Mark back to the table</p>
<p><br></p>
<p>Learn more about Presidio Development Partners:</p>
<p>Website - <a href="https://presidiodp.com">https://presidiodp.com</a></p>]]>
      </itunes:summary>
      <itunes:keywords>commercial real estate, AI adoption, real estate development, Silicon Valley, San Francisco, Mark Conroe, Presidio Development, underwriting, market cycles, entrepreneurship</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/c4f8e791/transcript.txt" type="text/plain"/>
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