Post #6324

❗️Andrej Karpathy built a map of every job in America and how likely AI is to replace it The former OpenAI and Tesla AI leader just released an open-source project that scores how exposed every U.S. job is to AI automation. Here’s how it works: The dataset: • Scraped 342 occupations from the U.S. Bureau of Labor Statistics • Each job was evaluated using an LLM scoring rubric from 0–10 • Built an interactive treemap visualization • Rectangle size = number of workers in that job • Color = how vulnerable the role is to AI The key rule behind the scoring If the work product is digital and the job can be done entirely from a home office, the exposure score rises dramatically. Some example scores: • 0–1: Roofers, janitors • 4–5: Nurses, retail workers, physicians • 8–9: Software developers, paralegals, data analysts • 10: Medical transcriptionists Overall result: Average exposure across all occupations: 5.3 / 10 Fully open source, Karpathy also released the entire pipeline: • BLS data scraping • LLM scoring methodology • The visualization system Anyone can reproduce it or update the scores as AI improves. https://github.com/karpathy/jobs @aipost🏴