---
title: "Anthropic Economic Index: Insights from Claude 3.7 Sonnet · AI Fault Line"
url: https://aifaultline.com/research/p/title-ae671e3029a05615/
description: "AI Fault Line is a neutral, evidence-cited field guide to why experts looking at the same developments disagree about AI's effect on productivity, jobs, inequality, regulation and the pace of change."
---

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# Anthropic Economic Index: Insights from Claude 3.7 Sonnet

Anthropic (AI lab research) · 27 Mar 2025

[Read original source](https://www.anthropic.com/research/anthropic-economic-index-insights-from-claude-sonnet-3-7) Open access Not peer reviewed

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## Source excerpt

Today, we’re releasing our second research report from the Index, covering usage data on Claude.ai following the launch of Claude 3.7 Sonnet —our newest and most capable model with strengths in agentic coding and a new “extended thinking” mode. In addition, we’re releasing a first-of-its-kind bottom-up taxonomy of usage on Claude.ai. This new dataset covers 630 granular categories ranging from “Help resolve household plumbing, water, and maintenance issues” to “Provide guidance on battery technologies and charging systems.” We hope this bottom-up taxonomy will be useful for researchers, and reveal use-cases that might be missed by top-down approaches which map usage onto a list of predefined tasks. Last month, we introduced Claude 3.7 Sonnet, our most capable model yet with an “extended thinking mode”. We reran our previous analysis on data from the 11 days following the launch, covering 1 million anonymized Claude.ai Free and Pro conversations. The vast majority of the data we analyzed was from Claude 3.7 Sonnet, as it is set as the default on Claude.ai and our mobile app. As a reminder, our privacy-preserving analysis tool, Clio , maps each conversation to one of 17,000 tasks in the U.S. Department of Labor’s O*NET database. We then look at the overall patterns in the occupations and high-level occupational categories associated with those tasks. When looking at the breakdown of these 1 million conversations, we see that the proportion of usage in several occupational categories has increased modestly, including coding, education and the sciences. While this increase in coding usage was expected due to Claude 3.7 Sonnet’s improved scores on coding benchmarks, the increase in these other categories could reflect either ongoing diffusion of AI throughout the economy, novel applications of coding to those domains, or unexpected capability improvements in the model. Claude 3.7 Sonnet features a new “extended thinking” mode which, when activated by the user, enables th

## About this publication

**Lab or institute research, not peer reviewed.** A report or blog post published by an AI lab or research institute on its own site. It has not been through independent peer review, and the publisher may have a stake in the findings.

Published

2025 (19 months ago)

Citations

Not recorded for this source

Citation counts come from OpenAlex; none are recorded for this source — absence of a count is not absence of citations.

[Chart: published 2025]

□ added to this collection in 2026.

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