500+ occupations scored 0 to 10. The global average is 5.3. Where do you stand?
The scale
Digital work done from home = high exposure. Physical, in-person work = low.
Minimal exposure
Roofers, construction laborers, landscapers, janitors
Low exposure
Electricians, plumbers, firefighters, barbers, bartenders
Moderate exposure
Nurses, police officers, retail workers, physicians
High exposure
Teachers, managers, accountants, engineers
Very high exposure
Software developers, paralegals, data analysts, designers
Maximum exposure
Medical transcriptionists, data entry clerks, telemarketers
Key insights
High-paying knowledge work averages 6.7/10 exposure - the most exposed globally. Lower-paid physical work averages 3.4/10 - the least exposed.
If the work product is digital and can be done from home, exposure is inherently high. The qualities that made jobs remote-friendly make them AI-vulnerable.
That's 42% of all occupations in high-exposure territory - affecting hundreds of millions of workers worldwide in roles like accounting, engineering, and software.
More education = more AI exposure, not less. Professional degree holders average 4.7/10. No-degree workers average 2.7/10.
Source: karpathy.ai/jobs - Open-source pipeline scoring 500+ occupations using LLM analysis
Sample report
Blind spots, a 90-day action plan, AI tools to learn, career pivots - personalized for your exact role. Here's a real one we generated for Actuaries.
FAQ
A personalized action plan for your specific occupation: the 5 most important skills to develop, AI tools you should be using, career pivot strategies, a 90-day learning roadmap, and comparison data against similar roles. Delivered instantly to your email.
Data-driven insights about AI's impact on your career. Based on 500+ occupations scored 0-10.
42% of US jobs score 7+. Here's what the data actually says about your career.
RankingsRanked by exposure score. Some results will surprise you.
Action GuideBacked by data from 500+ occupations. No fluff, just what works.