Everyone’s panicking about AI taking over jobs, but in this video I break down the roles that are actually paying because of AI — including jobs clearing $250K+. I rank AI jobs from A-tier to D-tier using four criteria: median US pay (from levels.fyi), AI resilience (how safe the role is from automation), tech accessibility (how much coding you really need), and barrier to entry (how hard it is to land). Each role gets up to 20 points, and anything 13+ lands in A-tier — and yes, this is my opinion, so argue with me in the comments. I start with the “core AI roles” people always ask about: machine learning engineer (huge pay, brutal competition), AI researcher (hardest to break into), AI engineer (future-proof but technical), and data scientist (more accessible while staying highly relevant). Then I expand into adjacent engineering roles like data engineering, systems, QA, and security — where security stands out as an A-tier bet with massive upside as AI-driven threats increase. Finally, I cover writing and relationship-driven roles like technical writing (easy entry but AI is already good at it), prompt engineering (good for now, but likely temporary), and strategic roles like program management, business development, developer advocacy, and UX research. My big takeaway: don’t chase titles — chase roles that combine strong pay, real human judgment, and resilience as AI gets better.