For professionals · 60 seconds
6 questions. A personalized AI-readiness score. A blunt recommendation for what to learn next so AI makes your career instead of breaking it — from a 22-year Senior Software Architect who trains professionals to build real AI systems.
The questions professionals actually ask about AI and their careers — answered straight, by an instructor who builds and teaches real AI systems.
Most jobs won't disappear outright, but many are being reshaped. Roles built on routine, repeatable tasks carry the highest automation exposure, while roles that combine judgment, communication, and the ability to direct AI tools are becoming more valuable. The practical risk usually isn't being replaced by AI — it's being outcompeted by people who use AI well.
The most exposed work is high-volume and rule-based: routine data entry, standard reporting, first-line support, and repetitive back-office processing. Jobs that involve ambiguity, stakeholder judgment, hands-on problem-solving, or building and overseeing AI systems are far more durable.
For most professionals the fastest durable skill is learning to build with AI, not just chat with it — using Python to wire up APIs, automate work, and understand how tools like RAG and agents actually behave. You don't need a computer-science degree; you need enough foundation to evaluate AI output and turn it into real workflows.
Move from using AI to building with it. Start with Python fundamentals, learn how modern AI systems work (RAG, function calling, agents), and ship one small real project you can point to. Domain expertise plus applied AI skills is the combination that keeps a career resilient.
It's a fast self-assessment, not a definitive verdict. It weighs your role, how you currently use AI, whether you build with it, and how much time you can invest, then maps you to a readiness tier with a sensible next step. Treat it as a starting point for a plan, not a final score.
Yes. It takes about 60 seconds, needs no email, and your results stay private.