"This was a Saturday morning two hour vibe coded project inspired by a book I'm reading. I thought the code/data might be helpful to others to explore the BLS dataset visually, or color it in different ways or with different prompts or add their own visualizations."
"The 'exposure' was scored by an LLM based on how digital the job is. This has no bearing on what actually happens to these occupations, which has to do with demand elasticity and a lot more. People are sensationalizing the visualization tool and putting words in my mouth."
Andrej Karpathy, an OpenAI cofounder and former Tesla AI executive, developed an interactive chart using Bureau of Labor Statistics data and AI to assess job vulnerability to automation, scoring occupations from zero (safe) to ten (most exposed). The tool measured exposure based on job digitalization levels. After the visualization attracted significant attention and was widely misinterpreted, Karpathy removed it, clarifying that the exposure scores reflect only digital characteristics, not actual employment outcomes. He emphasized that real job displacement depends on demand elasticity and numerous other factors beyond digitalization. Karpathy described the project as a weekend coding exercise intended for data exploration, noting that people sensationalized the tool despite documentation explaining its limitations.
#ai-job-displacement #labor-market-automation #ai-vulnerability-assessment #employment-risk-analysis
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