Anthropic Economic Index

Sources#

• Agentic coding and persistent returns to expertise
• Anthropic Economic Index report: Cadences

What it is#

The Anthropic Economic Index (AEI) is Anthropic's ongoing economic-research program studying how AI diffuses into economic life, read primarily off privacy-preserving usage telemetry — a slice of real Claude conversations, classified by another instance of Claude, with humans never reading raw transcripts and low-count cells filtered for privacy (the Clio methodology). Where most AI-labor research works from occupational task lists or surveys of what models could do, the AEI's distinctive move is to measure what people are actually doing with the product, at scale, across Claude Code, Cowork, Claude.ai, and the first-party API.

Recurring authors include Zoe Hitzig, Maxim Massenkoff, Eva Lyubich, Ryan Heller, and Peter McCrory (the Cadences report adds Szymon Sacher and Shaoyi Zhang).

Methodological evolution#

The program has steadily widened its instrument:

• Seven-day samples → continuous hourly telemetry. Earlier reports drew on weekly windows; the Cadences report (June 2026) introduced continuous daily/hourly sampling, which is what made temporal usage rhythms visible.
• Task/request → artifact classification. Cadences added a classifier for the output of each conversation, not just the request — the artifact primitive.
• Telemetry → linked survey. The Anthropic Economic Index Survey (launched April 2026) asks users directly about their experience and links responses to their usage via privacy-preserving methods (~9,700 linked respondents in Cadences). This extends the program from behavior-only to behavior-plus-perception — the exemplar case of combining both signals rather than choosing one.
• Adjacent instruments: the Anthropic Interviewer (81,000 user interviews, December 2025) and the Anthropic Public Record (a nationally representative survey of 50,000+ Americans) provide corroboration beyond the user base.

Recurring primitives it introduced#

• Automation vs. augmentation — whether a conversation delegates a whole task or collaborates iteratively; operationalized by the collaboration-mode classifier (Directive, Feedback Loop, Task Iteration, Learning, Validation). See The Automation–Optimism Link.
• Observed vs. theoretical exposure — later joined by reported and anticipated exposure from the survey. See Exposure Taxonomy: Observed, Theoretical, Reported, Anticipated.
• Returns to expertise — domain understanding, not coding skill, amplifies the agent. See Returns to Expertise in Agentic Coding.

Reports in this wiki#

• Cadences (June 26, 2026) — usage cadences, conversation artifacts, and the first Economic Index Survey findings. → AI Usage Cadences, Conversation Artifacts, Exposure Taxonomy: Observed, Theoretical, Reported, Anticipated, The Automation–Optimism Link
• Agentic coding and persistent returns to expertise (June 2026) — the 400K-session returns-to-expertise study. → Returns to Expertise in Agentic Coding, Agentic Coding Work-Composition Shift

Connections#

• Anthropic — the parent lab; the AEI is its economic-research output
• Returns to Expertise in Agentic Coding — the program's flagship coding-specific finding
• AI Usage Cadences · Conversation Artifacts · Exposure Taxonomy: Observed, Theoretical, Reported, Anticipated · The Automation–Optimism Link — the four concepts filed from the Cadences report
• Agentic Coding Work-Composition Shift — the companion work-composition analysis
• Telemetry vs. Survey Measurement — the AEI is the case that resolves the dichotomy by linking usage telemetry to survey responses
• Conversation-to-Delegation Shift — OpenAI's Codex usage study is the cross-lab counterpart; it explicitly cites the AEI's returns-to-expertise work
• Claude Code · Cowork — the products whose usage the index measures

Sources#

• Anthropic Economic Index report: Cadences — Anthropic Economic Index report: Cadences (June 26, 2026)
• Agentic coding and persistent returns to expertise — Anthropic Economic Research (June 2026)