<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/c7ac55e444964ad2b75267ac33ceb9bc&quot; frameborder=&quot;0&quot; width=&quot;5120&quot; height=&quot;3840&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>3840</height><width>5120</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>3840</thumbnail_height><thumbnail_width>5120</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/c7ac55e444964ad2b75267ac33ceb9bc-7961704f4e4ee4fd.gif</thumbnail_url><duration>602.43</duration><title>Tech Stack Tax and AI Hype Explained</title><description>This Loom argues that large brokerages market their “AI tech stack” as world class while delivering mostly generic tools that do not improve seller economics. The speaker claims features like CRM enhancements, “AI lead scoring,” hero photo selection, and chat buttons are largely vendor API calls, basic statistical models, and template automations, with little measurable impact. He says agents pay tech fees around 150 to 300 per month for tools many agents do not actively use and that do not get tested with before and after conversion lift. He contrasts this with his own approach using local hardware with zero cost per token, deploying 73 live websites, and building systems that book listing appointments, urging viewers to ask for data on what their tech fee actually buys.</description></oembed>