Free AI Career Assessment
Will AI Take My Job?
A 30-question assessment that scores how exposed your role is to AI disruption, how strong your AI skills are right now, and which AI-first roles match your background.
What Is the AI Career Readiness Assessment?
This is a free, in-depth assessment built for working professionals who want a clear, personalised picture of where they stand in an AI-disrupted job market. Unlike generic “will robots take my job?” lookups that give the same answer to everyone in your job title, this tool evaluates your specific situation across five dimensions and produces a tailored readiness profile.
You will answer 30 questions covering your role’s exposure to automation, your current AI fluency, your adaptability, your career mobility, and your strategic intent. The result is a Readiness Score, a Disruption Risk band, a personal Skill Gap report, and three suggested AI-first roles you could pivot toward.
How Is the Score Calculated?
Each of the 30 questions feeds one of five equally weighted sub-scores: Disruption Exposure, Current AI Skills, Adaptability, Career Mobility, and Strategic Intent. Your overall Readiness Score is the average of those five, expressed as a percentage. Grade bands: Beginner (0-40%), Intermediate (41-70%), Advanced (71-89%), Expert (90-100%).
Is This AI Career Assessment Free?
Yes, permanently. No sign-up, no email gate, no paywall. You can retake it as many times as you like to track how your readiness profile shifts as you build new skills.
What Is Unique About This Assessment?
Most “AI job risk” tools give you a single number based only on your job title. This assessment goes deeper: it looks at the texture of your work, scores five separate dimensions, and matches you to specific AI-first roles based on your actual answers — not just your title.
How Can I Improve My AI Readiness Score?
The fastest way is to build hands-on AI fluency in a way employers can verify. We recommend Coursera for university-backed programs like Google’s AI Essentials and IBM AI Engineering, and DataCamp for practical skill tracks in prompt engineering, AI-assisted analytics, and applied LLMs. Pick one course in your skill gap, finish it in 4-6 weeks, retake this assessment, and watch the score move.