Anthropic Economic Index report: Uneven geographic and enterprise AI adoption
Fuente:
arXiv
Salvato in:
| Autori principali: | , , , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2025
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866914164156399616 |
|---|---|
| author | Appel, Ruth McCrory, Peter Tamkin, Alex McCain, Miles Neylon, Tyler Stern, Michael |
| author_facet | Appel, Ruth McCrory, Peter Tamkin, Alex McCain, Miles Neylon, Tyler Stern, Michael |
| contents | In this report, we document patterns of Claude usage over time, in 150+ countries, across US states, and among businesses deploying Claude through the API. Based on a privacy-preserving analysis of 1 million conversations on Claude.ai and 1 million API transcripts, we have four key findings: (1) Users increasingly entrust Claude with more autonomy, with directive task delegation rising from 27% to 39% in the past eight months. (2) Claude usage is geographically concentrated with high income countries overrepresented in global usage relative to their working age population. (3) Local economic considerations shape patterns of use both in terms of topic and in mode of collaboration with Claude. (4) API customers use Claude to automate tasks with greater specialization among use cases most amenable to programmatic access. To enable researchers and policymakers to further study the impact of AI on the economy, we additionally open-source the underlying data for this report. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_15080 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Anthropic Economic Index report: Uneven geographic and enterprise AI adoption Appel, Ruth McCrory, Peter Tamkin, Alex McCain, Miles Neylon, Tyler Stern, Michael General Economics Economics Computers and Society In this report, we document patterns of Claude usage over time, in 150+ countries, across US states, and among businesses deploying Claude through the API. Based on a privacy-preserving analysis of 1 million conversations on Claude.ai and 1 million API transcripts, we have four key findings: (1) Users increasingly entrust Claude with more autonomy, with directive task delegation rising from 27% to 39% in the past eight months. (2) Claude usage is geographically concentrated with high income countries overrepresented in global usage relative to their working age population. (3) Local economic considerations shape patterns of use both in terms of topic and in mode of collaboration with Claude. (4) API customers use Claude to automate tasks with greater specialization among use cases most amenable to programmatic access. To enable researchers and policymakers to further study the impact of AI on the economy, we additionally open-source the underlying data for this report. |
| title | Anthropic Economic Index report: Uneven geographic and enterprise AI adoption |
| topic | General Economics Economics Computers and Society |
| url | https://arxiv.org/abs/2511.15080 |