Respond to customer inquiries.

Respond to customer inquiries. is a detailed work activity in O*NET — a concrete unit of work shared across 10 occupations and seen in 10 occupation-specific tasks. It rolls up into the broader work activity Respond to customer problems or inquiries. in Performing for or Working Directly with the Public .

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 10 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 9 (90%) 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 2 of these tasks, with a mean mapped-usage share of 0.010% 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.

• Describe tour points of interest to group members, and respond to questions. · Tour Guides and Escorts · importance 4.9 · direct LLM exposure
• Answer questions about game rules and casino policies. · Gambling Dealers · importance 4.5 · direct LLM exposure
• Answer inquiries concerning the progress of medical cases, within the limits of confidentiality laws. · Medical Transcriptionists · importance 4.4 · direct LLM exposure
• Answer telephone inquiries, referring callers to pharmacist when necessary. · Pharmacy Aides · importance 4.4 · direct LLM exposure
• Answer patrons' questions about gaming machine functions and payouts. · First-Line Supervisors of Gambling Services Workers · importance 4.4 · direct LLM exposure
• Respond to questions from patrons, and provide information about animals, such as behavior, habitat, breeding habits, or facility activities. · Animal Caretakers · importance 4.2 · direct LLM exposure
• Answer questions about game rules or casino policies. · Gambling and Sports Book Writers and Runners · importance 4.1 · direct LLM exposure
• Answer customer inquiries or explain cost, availability, policies, and procedures of facilities. · Locker Room, Coatroom, and Dressing Room Attendants · importance 4.0 · direct LLM exposure
• Give door checks to patrons who are temporarily leaving establishments. · Ushers, Lobby Attendants, and Ticket Takers · importance 3.7 · no direct exposure
• Accept music requests from event guests. · Disc Jockeys, Except Radio · direct LLM exposure

Occupations that perform this

• Tour Guides and Escorts
• Gambling Dealers
• Medical Transcriptionists
• Pharmacy Aides
• First-Line Supervisors of Gambling Services Workers
• Animal Caretakers
• Gambling and Sports Book Writers and Runners
• Locker Room, Coatroom, and Dressing Room Attendants
• Ushers, Lobby Attendants, and Ticket Takers
• Disc Jockeys, Except Radio

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-respond-to-customer-inquiries,
  title  = {Respond to customer inquiries.},
  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/respond-to-customer-inquiries}
}