Anthropic Economic Index report: Cadences
Anthropic’s Economic Index report now samples Claude usage hourly, revealing daily and weekly patterns in how users interact with the model. The study shows personal prompts spike on weekends, with specific tasks such as sleep advice at 5 a.m. and recipes at 6 p.m. Tax‑related queries surge before the U.S. filing deadline. The report also classifies over 30 artifact types, finding that 93% of conversations produce an artifact, with explanations, documents, and guidance leading. Work‑related artifacts dominate marketing content, blogs, and database queries, while personal use is high for creative writing, recipes, and guidance. The analysis links higher‑wage occupations to increased nighttime and weekend usage.
The Core Development
One year ago, most Claude usage took the form of a conversation between a user and an assistant. With the rapid growth of Claude Code and Cowork, Claude sessions now increasingly consist of long-running agentic tasks. Chat transcripts no longer fully capture how people are using AI, and our methods for studying Claude’s economic impacts have had to adapt.
To keep pace, we made several changes to our data pipeline for the Economic Index. In this version, we:
We describe additional methodological changes in the Appendix . Together, these changes provide a clearer picture of how AI mirrors and diffuses into economic life.
How It Works & Technical Architecture
Request clusters 5 allow us to go one level deeper and see which specific Claude Code tasks swing most between weekdays and weekends. On weekends, the Claude Code usage clusters that fall the most include backend architecture, API debugging, and data storage. Those that increase the most include AI agent design, quant trading, and gaming.
Deployment & Availability
The share of chat and Cowork 3 conversations categorized as personal use spikes from around 35% on weekdays to just under 50% on weekends during the sample period (Figure 1.1). Outside the workweek, users’ conversations shift from business correspondence, marketing copy, and slide decks to emotional support, medical questions, and investment advice. This shift is biggest for high-income countries.
Strategic Perspective & Ecosystem Impact
In addition, we’ve previously lacked visibility into Claude’s impact outside of user sessions. How do people perceive AI to be changing their work, or the opportunities available to them? Does their usage of AI shape their expectations? In an ideal world, what would they want from AI? We report initial findings from the Anthropic Economic Index Survey , launched in April 2026.
Our new privacy-preserving telemetry, which continuously samples a slice of conversations every day, allows us to study daily and hourly patterns in usage, in contrast to the seven-day samples each previous Economic Index report drew on. These analyses capture ebbs and flows in work patterns around the world. 2
We find that Claude usage mirrors the workweek, with personal prompts spiking on the weekend. The hourly data captures within-day patterns—people most often ask for sleep advice around 5 a.m. and for recipes around 6 p.m. We also see usage reflecting key dates. For instance, tax-related requests surged just before the US filing deadline on April 15.
Why it matters
Understanding fine‑grained usage patterns helps AI companies tailor product features and support to real‑world work rhythms. It also informs policy on AI’s economic impact and workforce displacement.