<?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/7f69e2b30cf84f0999ee1e79a8bc9c94&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/7f69e2b30cf84f0999ee1e79a8bc9c94-30ddb834e92f71cf.gif</thumbnail_url><duration>1856.029</duration><title>Module 3</title><description>In this module, I discussed the importance of creating a Portable Career Knowledge Base (PCKB) to adapt to the rapidly changing job landscape, where the average job tenure is only 3.9 years, and skills in AI roles are evolving 66% faster. I shared case studies, like Michael&apos;s private deal diary and Lisa&apos;s AI query system, which illustrate how documenting frameworks and skills can enhance career mobility. I emphasized the need to build a portfolio of portable skills, as research shows they account for 22-50% of wage growth. I also introduced the CTE knowledge risk scoring tool to assess the proprietary knowledge transferred to AI systems, highlighting that 11% of data shared in chat platforms is confidential. I encourage you to start building your own PCKB and consider how you can safeguard your knowledge while enhancing your career prospects.</description></oembed>