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Who Uses AI the Most? Copywriters, Programmers, and Other Surprising Insights From Anthropic’s Economic Index
A staggering 37.2 percent of the queries involved software modification, code debugging, and network troubleshooting, among other coding avenues.

By Kumar Harshit

on February 11, 2025

Anthropic, the American artificial intelligence public-benefit startup, has come up with its Economic Index to trace the economic impact of AI on the labor markets and the economy over time. The report tries to trace the usage of AI by people based on millions of anonymized conversations on Claude.ai through a never-before data analysis. 

As per the report, Copywriters and programmers are among the heaviest users of AI, with around 10.3 percent and 37.2 percent, respectively, of the total responses generated by the LLM. Further analysis of the data collected from the expedition shows that Over one-third of occupations (about 36 percent) incorporate AI in at least 25 percent of their tasks, while around 4 percent rely on AI for 75 percent or more of their tasks.

AI: Which Sector Reports Highest Usage?  

Nearly 37.2 percent of the total queries sent to claude.ai dealt with tasks like software modification, code debugging, and network troubleshooting. The category shows the highest adoption of AI. The second-largest category, “arts, design, sports, entertainment, and media” (10.3 percent of queries), primarily represented users leveraging Claude for writing and editing tasks.

AI: Which Sector Reports Least Usage?  

As expected, occupations requiring extensive physical labor, such as those in the category- farming, fishing, and forestry (0.1 percent of queries), had the lowest representation in AI usage metrics. 

AI: What does it say about Automation vs. Augmentation?  

Based on the detailed analysis of the queries received by the model, it can be concluded that a clear inclination towards automation is not prevalent in the industry. As per the report, 57 percent of the tasks are being augmented, while 43 percent of tasks are being automated. 

AI Usage Automation V Augmentation3

AI Usage Automation Versus Augmentation| PC: Anthropic

The popular tasks in augmentation involved validation (e.g., double-checking the user’s work), learning (e.g., helping the user acquire new knowledge and skills), and task iteration (e.g., helping the user brainstorm or otherwise doing repeated generative tasks). 

The company claims that the data cited above is not identically representative of the entire AI industry. However, it represents a section of the people who use Claude ( Pro & Free tier) for whatever purpose suits them best.