APP CASE STUDY

How exposed is your job to AI?

342 occupations. 143 million jobs. One search.

Every job has an AI exposure score

When Andrej Karpathy, co-founder of OpenAI, scored 342 US occupations for AI exposure using Bureau of Labor Statistics data, the analysis was important but locked behind an academic treemap most people would never use.

We built HowExposed.AI to make that data personal. Type your job title, get your score, understand what it means for your career - in seconds.

Search

HowExposed.AI search screen

Match

HowExposed.AI matching occupations

Score

HowExposed.AI score and exposure level

Context

HowExposed.AI workforce distribution
342
Occupations scored
143M
US jobs covered
15K
Job title aliases

Concept to code

HowExposed.AI was vibe coded with our AI colleague James using Claude. Concept, design, code, testing, and deployment - all completed at record speed.

The data was sourced from Andrej Karpathy's analysis. We added a search interface powered by the US Department of Labor's O*NET database, contextual guidance for each score band, and a share mechanic so people can compare scores with friends.

This is what we mean by forward-deployed strategy. We don't just advise on AI - we build with it.

What does your score mean for your organisation?