Will AI change your job?
Look up your job. See what the public evidence actually says, what is changing first, what stays with people, and what to learn first. Every number has its source. No scare scores.
60 jobs so far, from the US Bureau of Labor Statistics, O*NET and published AI use research. Or start free with lesson 1.
Find your work
Office and administration
Money and finance
Business and management
Creative and media
Health care
Education
Sales and retail
Building and engineering
Transport, factory and food
The skill every job now asks for
Giving AI a task clearly, checking what it hands back, and knowing when not to use it. Learn it in plain language, prove it by explaining it back in your own words, and keep a record an employer can check.
Start free: lesson 1Questions people ask
- Will AI take my job?
- For most people the honest answer is that AI changes tasks before it changes jobs. Look up your job here to see the US government's ten year jobs outlook, which of your tasks already show up in real AI use, and what stays with people.
- How long do I have?
- No one can honestly name a year. The clearest measured effect so far is on hiring for young workers in the most exposed jobs: Stanford's Digital Economy Lab found no widespread displacement, but employment for young workers in the most AI exposed jobs has fallen 19 percent behind comparable peers (August 2026). People already in those jobs are mostly taking on AI assisted work.
- What should I learn first?
- Three things carry across every job: how to give AI a task clearly, how to check what it hands you before anyone relies on it, and when not to use it at all. Each job page lists the order that fits that work, and lesson 1 is free.
- I am about to graduate. What should I do?
- Entry level hiring is where AI shows up first, so arrive able to show you can direct AI and catch its mistakes. Look up the job you want, learn its first skills, and keep a record an employer can check.
How we build these pages
We put published measures side by side and say what each one does not mean. We never blend them into a single risk score, and we never guess a year. Sources: National Center for O*NET Development, for the U.S. Department of Labor, Employment and Training Administration, O*NET 31.0 Database: Task Statements and Task Ratings; U.S. Bureau of Labor Statistics, Employment Projections program, Employment Projections, Table 1.2: Occupational projections, 2025 to 35, and worker characteristics, 2025; U.S. Bureau of Labor Statistics, Employment Projections program, Employment Projections, Table 1.12: Factors affecting occupational utilization, projected 2025 to 35; Anthropic, Anthropic Economic Index, sixth release (claude_ai, monthly aggregates); Anthropic, Anthropic Economic Index, labor market impacts: task penetration; Microsoft Research (Tomlinson, Jaffe, Wang, Counts, Suri), Working with AI: Measuring the Applicability of Generative AI to Occupations (AI applicability scores); Stanford Digital Economy Lab, August 2026.