# Receptionists and Information Clerks

> Answer inquiries and provide information to the general public, customers, visitors, and other interested parties regarding activities conducted at establishment and location of departments, offices, and employees within the organization.

- **SOC code:** 43-4171.00
- **Canonical URL:** https://singulariki.com/roles/role-43-4171-00
- **Also known as:** Front Desk Receptionist, Greeter, Office Assistant, Receptionist, Clerk Specialist, Information Assistant (Info Assistant), Medical Receptionist, Member Services Representative (Member Services Rep)
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Operate telephone switchboard to answer, screen, or forward calls, providing information, taking messages, or scheduling appointments.
- Greet persons entering establishment, determine nature and purpose of visit, and direct or escort them to specific destinations.
- Receive payment and record receipts for services.
- Schedule appointments and maintain and update appointment calendars.
- Analyze data to determine answers to questions from customers or members of the public.
- Calculate and quote rates for tours, stocks, insurance policies, or other products or services.
- Transmit information or documents to customers, using computer, mail, or facsimile machine.
- Hear and resolve complaints from customers or the public.
- File and maintain records.
- Provide information about establishment, such as location of departments or offices, employees within the organization, or services provided.
- Perform administrative support tasks, such as proofreading, transcribing handwritten information, or operating calculators or computers to work with pay records, invoices, balance sheets, or other documents.
- Collect, sort, distribute, or prepare mail, messages, or courier deliveries.

**Emerging tasks** (O*NET):
- Enter and update databases of contact information, such as names, addresses, and phone numbers.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- Oral Expression _(ability)_
- Speaking _(essential_skill)_
- Oral Comprehension _(ability)_
- Speech Recognition _(ability)_
- Administrative _(knowledge)_
- Active Listening _(essential_skill)_
- Speech Clarity _(ability)_
- English Language _(knowledge)_
- Service Orientation _(transferable_skill)_
- Written Comprehension _(ability)_
- Computers and Electronics _(knowledge)_

**Skills in demand:**
- Speech Recognition _(Specialized Skill)_
- Active Listening _(Common Skill)_
- English Language _(Common Skill)_
- Microsoft Word _(Common Skill)_
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Social Perceptiveness _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Writing _(Common Skill)_
- Microsoft Windows _(Common Skill)_
- Microsoft PowerPoint _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- Microsoft Word _(hot technology, in demand)_
- Google Docs _(hot technology)_
- Intuit QuickBooks _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Windows _(hot technology)_
- 3M Post-it App
- Alpha Software Alpha Five
- Appointment scheduling software
- Automated information system software

## AI exposure & outlook

- **AI task-overlap index:** 76th percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 75th percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 73rd percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 78th percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 91st percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 0.0% growth (About average); 128.5k annual openings; 1,007.2k → 1,007.6k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $37,230; 964,530 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 55% automation, 33% augmentation (usage-weighted).
- **Autonomy median:** 3.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** directive.

**Tasks most handed to AI here:**
- Process and prepare memos, correspondence, travel vouchers, or other documents. _(3.9% of measured AI use; task iteration)_
- Schedule appointments and maintain and update appointment calendars. _(1.2% of measured AI use; directive)_
- Analyze data to determine answers to questions from customers or members of the public. _(0.7% of measured AI use; directive)_
- Schedule space or equipment for special programs and prepare lists of participants. _(0.5% of measured AI use; directive)_
- Perform administrative support tasks, such as proofreading, transcribing handwritten information, or operating calculators or computers to work with pay records, invoices, balance sheets, or other documents. _(0.3% of measured AI use; directive)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me process and prepare memos, correspondence, travel vouchers, or other documents.
- Help me schedule appointments and maintain and update appointment calendars.
- Help me analyze data to determine answers to questions from customers or members of the public.
- Help me schedule space or equipment for special programs and prepare lists of participants.
- Help me perform administrative support tasks, such as proofreading, transcribing handwritten information, or operating calculators or computers to work with pay records, invoices, balance sheets, or other documents.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-43-4171-00_