What to Learn When AI Can Do the Rest
About the event
Everyone says to learn AI. Almost nobody tells you which parts, and guessing wrong costs you months. This session walks through the major AI career paths and how much technical depth each one actually needs. Some of them reward going deep on one narrow thing. Most reward pairing AI with domain knowledge you already have. The harder question is what's worth learning at all. A lot of what gets recommended right now is a tool that won't exist in a year, and it isn't obvious which is which from the outside. What we'll cover: - The major AI career paths and how to choose between them - How much technical depth you actually need - Specialist vs. generalist - Pairing domain expertise with AI - Durable skills vs. temporary tools You'll leave with a clear direction and a prioritized learning roadmap.
