Prepare business correspondence.

Prepare business correspondence. is a detailed work activity in O*NET — a concrete unit of work shared across 8 occupations and seen in 11 occupation-specific tasks. It rolls up into the broader work activity Perform administrative or clerical activities. in Performing Administrative Activities .

Detailed work activities are the most granular shared layer in O*NET's work-activity hierarchy (Generalized → Intermediate → Detailed → occupation-specific task). The figures below describe how this activity shows up across the economy and what independent studies measure about AI and this kind of work — not a prediction that the work will be automated.

AI exposure

Of the 11 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 11 (100%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).

The Anthropic Economic Index observes real AI use on 5 of these tasks, with a mean mapped-usage share of 0.075% per task.

Exposure estimates overlap with model capabilities — whether a model could speed the task up — not whether the work will be done by software. Observed AI use is augmentation and assistance today, not jobs replaced.

Member tasks

Occupation-specific tasks O*NET maps to this detailed work activity, most important first.

• Prepare and type loan applications, closing documents, legal documents, letters, forms, government notices, and checks, using computers. · Loan Interviewers and Clerks · importance 4.4 · direct LLM exposure
• Prepare responses to correspondence containing routine inquiries. · Executive Secretaries and Executive Administrative Assistants · importance 4.0 · direct LLM exposure
• Prepare documents and correspondence, such as damage claims, credit and billing inquiries, invoices, and service complaints. · Correspondence Clerks · importance 4.0 · direct LLM exposure
• Compose letters in reply to correspondence concerning such items as requests for merchandise, damage claims, credit information requests, delinquent accounts, incorrect billing, or unsatisfactory service. · Correspondence Clerks · importance 3.8 · direct LLM exposure
• Compose, type, and mail customer statements and other correspondence related to issues such as discrepancies and outstanding unpaid items. · Tellers · importance 3.8 · direct LLM exposure
• Prepare correspondence or assist physicians or medical scientists with preparation of reports, speeches, articles, or conference proceedings. · Medical Secretaries and Administrative Assistants · importance 3.7 · direct LLM exposure
• Compose business correspondence for supervisors, managers, and professionals. · Insurance Claims and Policy Processing Clerks · importance 3.7 · direct LLM exposure
• Type acknowledgment letters to persons sending correspondence. · Correspondence Clerks · importance 3.5 · direct LLM exposure
• Process and prepare memos, correspondence, travel vouchers, or other documents. · Receptionists and Information Clerks · importance 3.4 · direct LLM exposure
• Draft and type office memos. · Legal Secretaries and Administrative Assistants · importance 3.4 · direct LLM exposure
• Complete form letters in response to requests or problems identified by correspondence. · Correspondence Clerks · importance 3.4 · direct LLM exposure

Occupations that perform this

• Loan Interviewers and Clerks
• Executive Secretaries and Executive Administrative Assistants
• Correspondence Clerks
• Tellers
• Medical Secretaries and Administrative Assistants
• Insurance Claims and Policy Processing Clerks
• Receptionists and Information Clerks
• Legal Secretaries and Administrative Assistants

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-prepare-business-correspondence,
  title  = {Prepare business correspondence.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/detailed-activities/prepare-business-correspondence}
}