# Lodging Managers

> Plan, direct, or coordinate activities of an organization or department that provides lodging and other accommodations.

- **SOC code:** 11-9081.00
- **Canonical URL:** https://singulariki.com/roles/role-11-9081-00
- **Also known as:** Front Desk Manager, Front Office Manager, Hotel Manager, Resort Manager, Bed and Breakfast Innkeeper, Front Office Director, Guest Relations Manager, Guest Services Manager
- **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):
- Answer inquiries pertaining to hotel policies and services, and resolve occupants' complaints.
- Participate in financial activities, such as the setting of room rates, the establishment of budgets, and the allocation of funds to departments.
- Greet and register guests.
- Confer and cooperate with other managers to ensure coordination of hotel activities.
- Monitor the revenue activity of the hotel or facility.
- Meet with clients to schedule and plan details of conventions, banquets, receptions and other functions.
- Manage and maintain temporary or permanent lodging facilities.
- Train staff members.
- Observe and monitor staff performance to ensure efficient operations and adherence to facility's policies and procedures.
- Coordinate front-office activities of hotels or motels, and resolve problems.
- Inspect guest rooms, public areas, and grounds for cleanliness and appearance.
- Assign duties to workers, and schedule shifts.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- English Language _(knowledge)_
- Administration and Management _(knowledge)_
- Personnel and Human Resources _(knowledge)_
- Customer and Personal Service _(knowledge)_
- Mathematics _(knowledge)_
- Sales and Marketing _(knowledge)_
- Active Listening _(essential_skill)_
- Service Orientation _(transferable_skill)_
- Administrative _(knowledge)_
- Oral Expression _(ability)_
- Computers and Electronics _(knowledge)_
- Speaking _(essential_skill)_

**Skills in demand:**
- English Language _(Common Skill)_
- Mathematics _(Common Skill)_
- Active Listening _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Social Perceptiveness _(Common Skill)_
- Writing _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Negotiation _(Common Skill)_
- Time Management _(Common Skill)_
- Instructing _(Specialized Skill)_
- Information Ordering _(Specialized Skill)_
- Critical Thinking _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- Facebook _(hot technology)_
- Microsoft Access _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- Property management system PMS software _(in demand)_
- Anand Systems ASI FrontDesk
- Delphi Technology
- Email software
- Enablez ResortSuite

## AI exposure & outlook

- **AI task-overlap index:** 64th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 58th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 74th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 63rd percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 2nd percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 3.4% growth (About average); 5.4k annual openings; 52k → 53.8k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $68,130; 41,350 employed.

## How people actually use AI here

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

- **Automation vs augmentation:** 37% automation, 47% augmentation (usage-weighted).
- **Autonomy median:** 3.5 (higher = AI acts more independently).
- **Dominant collaboration mode:** task iteration.

**Tasks most handed to AI here:**
- Develop and implement policies and procedures for the operation of a department or establishment. _(1.5% of measured AI use; task iteration)_
- Answer inquiries pertaining to hotel policies and services, and resolve occupants' complaints. _(0.6% of measured AI use; directive)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me develop and implement policies and procedures for the operation of a department or establishment.
- Help me answer inquiries pertaining to hotel policies and services, and resolve occupants' complaints.

## 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-11-9081-00_