<?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/7149233205d140c0939b0e362ec82171&quot; frameborder=&quot;0&quot; width=&quot;1670&quot; height=&quot;1252&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1252</height><width>1670</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1252</thumbnail_height><thumbnail_width>1670</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/7149233205d140c0939b0e362ec82171-eb02a451d23d7f16.gif</thumbnail_url><duration>877.584</duration><title>Module 2 </title><description>In this module, I discuss the importance of owning your AI tools rather than relying on your employer&apos;s resources, especially given the average job tenure of just 3.9 years. I introduce the three pillars of a personal AI stack: free tools, paid tools, and build-your-own options, highlighting how professionals using AI skills can earn 50% more on average. I also share examples of individuals like Alana and David, who have significantly increased their productivity and efficiency through custom AI solutions. I encourage you to assess your workflows and consider the ROI of upgrading to paid tools, as well as to explore structured prompts to enhance your work processes. Remember, the goal is to create a personal AI stack that empowers you and protects your career.</description></oembed>