Explore the evidence / AI tasks

What people ask AI to do.

Claude conversation purpose and outputs, with the population, observation windows and classification limits beside the charts.

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Each chart keeps its own population and observation period. Wide charts can be scrolled horizontally; open the values beneath any chart for the underlying observations.

01 / What people ask AI to do

Conversations extend beyond paid work.

In the May 2026 Claude chat and Cowork sample, 43.36% of classified conversations were work-related, 40.20% personal and 16.45% coursework. These are conversation shares from one provider, not population adoption rates.

Purpose of Claude conversations

Global chat and Cowork sample, May 2026; 0–100%.

Purpose of Claude conversations in May 2026Work: 43.36 percent; Personal: 40.2 percent; Coursework: 16.45 percent. Common scale zero to one hundred percent.Work43.36%Personal40.2%Coursework16.45%0255075100%
Exact values and populations
Anthropic Economic Index report: Cadences. Global chat and Cowork sample, May 2026; 0–100%.
Measure / groupShareObservation periodPopulation
Work43.36%May2026Global sampled Claude chat/Cowork conversations in calendar May2026
Personal40.2%May2026Global sampled Claude chat/Cowork conversations in calendar May2026
Coursework16.45%May2026Global sampled Claude chat/Cowork conversations in calendar May2026
Model-classified purpose; rounding produces a total of 100.01%. Anthropic monthly data.

02 / The resulting artefacts

Answers, documents and guidance are common outputs.

The output analysis covers 10 April–10 June 2026. Explanations or answers, documents or reports, and guidance are selected categories, not the complete output distribution.

Three common outputs

Chat and Cowork, 10 April–10 June 2026; 0–100%.

Selected Claude output categoriesExplanations / answers: 17 percent; Documents / reports: 15 percent; Guidance: 11 percent. Common scale zero to one hundred percent.Explanations / answers17%Documents / reports15%Guidance11%0255075100%
Exact values and populations
Anthropic Economic Index report: Cadences. Chat and Cowork, 10 April–10 June 2026; 0–100%.
Measure / groupShareObservation periodPopulation
Explanations / answers17%10Apr–10Jun2026Sampled Claude chat/Cowork conversations
Documents / reports15%10Apr–10Jun2026Sampled Claude chat/Cowork conversations
Guidance11%10Apr–10Jun2026Sampled Claude chat/Cowork conversations
Selected categories, not the complete output distribution. Cadences, p. 9.

03 / Outputs within each purpose

The same output can serve different purposes.

Documents and reports appear in 20% of work conversations, 21% of coursework conversations and 6% of personal conversations. Each row has its own conversation base; the three values are not parts of one total.

The same output, different purposes

Share producing a document/report within each purpose category; 0–100%.

Documents and reports by conversation purposeWork conversations: 20 percent; Coursework conversations: 21 percent; Personal conversations: 6 percent. Common scale zero to one hundred percent.Work conversations20%Coursework conversations21%Personal conversations6%0255075100%
Exact values and populations
Anthropic Economic Index report: Cadences. Share producing a document/report within each purpose category; 0–100%.
Measure / groupShareObservation periodPopulation
Work conversations20%10Apr–10Jun2026Conversations within the indicated purpose category
Coursework conversations21%10Apr–10Jun2026Conversations within the indicated purpose category
Personal conversations6%10Apr–10Jun2026Conversations within the indicated purpose category
10 April–10 June 2026. Each row has its own conversation base. Cadences, p. 12.

Outputs are not outcomes: a generated document does not establish its accuracy, adoption or value. Conversation shares also differ from the share of people using AI.

Anthropic Economic Index: Cadences, 26 June 2026. Automated, privacy-preserving classification; consumer Free/Pro/Max chat and Cowork. These panels exclude Claude Code and API traffic. The report and monthly dataset use different observation windows.