video1.0<iframe src="https://www.loom.com/embed/58394dd6a4c94d3ab21255f169237ed6" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/58394dd6a4c94d3ab21255f169237ed6-90e88248752cfbf7.gif694.84This Loom explains how to win the AI recommendation era by solving the second shift: outdated business infrastructure through becoming AI native. It describes two parallel changes: buyers increasingly ask AI tools like ChatGPT, Perplexity, or Google AI who to hire, and existing workflows and tools quickly feel heavy as AI capabilities outpace them. Cindy Ann Mulchaney shares how she identified these shifts after a client booked and said ChatGPT recommended her, then built an Authority Directory using AI coding environments like Claude Code instead of WordPress. She argues this approach reduces friction by letting AI work inside your files, and invites viewers to join her AIOS Launchpad workshop every other week to install the foundation of an AI native setup.