Anthropic Reveals Study on Which Occupations Are Most at Risk of AI Replacement

Anthropic has released a new report assessing which occupations are at risk of being replaced by artificial intelligence (AI) using a tool called Observed Exposure. This tool compares two data sets: theoretical potential versus actual usage.

• The theoretical AI coverage refers to the potential for AI to replace various jobs, essentially predicting how much AI could take over these roles.
• Observed AI coverage reflects the real-world use of AI in different job positions, based on how people are using Claude.

The new metric, "Observed Exposure," helps measure the risk level of occupations being replaced by AI. Its goal is to evaluate which tasks that language models (LLMs) can theoretically speed up are actually being automated in professional work environments.

The blue line in the chart represents the theoretical prediction of how much AI could replace jobs in various sectors. The occupations with the highest potential impact include:

• Management
• Business and Finance
• Computer and Mathematics
• Architecture and Engineering
• Legal
• Arts and Media
• Office and Administrative work

Meanwhile, jobs that are hardly affected by AI or have little AI usage to assist include examples such as:

• Food and Serving
• Ground Maintenance
• Personal Care
• Agriculture
• Construction
• Installation and Repair
• Production
• Transportation

As AI technology improves, organizational acceptance expands, and deeper usage increases, the red area representing actual usage tends to grow closer to the blue area representing potential.

In reality, AI's theoretical potential covers a much wider range of tasks than its current actual use. Tracking how the gap between "potential" and "real usage" narrows helps illustrate ongoing economic and labor market changes.

Data shows that although technology is advancing rapidly, current real-world AI usage covers only a fraction of the theoretical capabilities, highlighting a gap between technological ability and actual adoption in the workforce.

Forecasts from the U.S. Bureau of Labor Statistics (BLS) indicate that occupations with higher Observed Exposure levels tend to have slower employment growth compared to other jobs through 2034.

Workers at higher risk of AI replacement tend to share characteristics: they are generally older, female, have higher education levels, and receive higher pay.

However, there is no sign yet of rising unemployment. Hiring of younger workers is slowing, but no systemic evidence shows significant increases in unemployment among high-risk occupations since late 2022. Still, signs suggest organizations are starting to slow hiring younger employees in AI-affected fields.

Source:Anthropic

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