# Automotive and Watercraft Service Attendants

> Service automobiles, buses, trucks, boats, and other automotive or marine vehicles with fuel, lubricants, and accessories. Collect payment for services and supplies. May lubricate vehicle, change motor oil, refill antifreeze, or replace lights or other accessories, such as windshield wiper blades or fan belts. May repair or replace tires.

- **SOC code:** 53-6031.00
- **Canonical URL:** https://singulariki.com/roles/role-53-6031-00
- **Also known as:** Attendant, Fuel Dock Attendant, Gas Attendant, Service Station Attendant, Dock Attendant, Dock Hand, Fuel Attendant, Gas Pumper
- **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):
- Collect cash payments from customers, and make change or charge purchases to customers' credit cards, providing customers with receipts.
- Prepare daily reports of fuel, oil, and accessory sales.
- Check tire pressure and levels of fuel, motor oil, transmission, radiator, battery, or other fluids, adding air or fluids as required.
- Perform minor repairs, such as adjusting brakes, replacing spark plugs, or changing engine oil or filters.
- Clean windshields.
- Clean parking areas, offices, restrooms, or equipment, and remove trash.
- Order stock, and price and shelve incoming goods.
- Activate fuel pumps and fill fuel tanks of vehicles with gasoline or diesel fuel to specified levels.
- Sell and install accessories, such as batteries, windshield wiper blades, fan belts, bulbs, or headlamps.
- Grease and lubricate vehicles or specified units, such as springs, universal joints, or steering knuckles, using grease guns or spray lubricants.
- Test and charge batteries.
- Rotate, test, and repair or replace tires.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- Mechanical _(knowledge)_
- Sales and Marketing _(knowledge)_
- Administration and Management _(knowledge)_
- Oral Comprehension _(ability)_
- Oral Expression _(ability)_
- Mathematics _(knowledge)_
- Manual Dexterity _(ability)_
- Finger Dexterity _(ability)_
- Control Precision _(ability)_
- Trunk Strength _(ability)_
- Near Vision _(ability)_

**Skills in demand:**
- Microsoft Edge _(Specialized Skill)_
- Mathematics _(Common Skill)_
- Finger Dexterity _(Common Skill)_
- Time Management _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Information Ordering _(Specialized Skill)_
- Deductive Reasoning _(Common Skill)_
- Active Listening _(Common Skill)_
- Visualization _(Specialized Skill)_
- Microsoft Windows _(Common Skill)_
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_

**Tools & technology:**
- Apple Safari _(hot technology, in demand)_
- Microsoft Edge _(hot technology, in demand)_
- Mozilla Firefox _(hot technology, in demand)_
- Microsoft Excel _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft Windows _(hot technology)_
- Web browser software _(in demand)_
- Inventory management systems
- Software libraries
- Timekeeping software

## AI exposure & outlook

- **AI task-overlap index:** 8th percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 10th percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 18th percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 9th percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 68th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** -1.0% growth (Declining); 14.4k annual openings; 100k → 99k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $34,850; 98,270 employed.

## How people actually use AI here

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

- **Automation vs augmentation:** 15% automation, 22% augmentation (usage-weighted).
- **Autonomy median:** 3.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** learning.

**Tasks most handed to AI here:**
- Test and charge batteries. _(0.5% of measured AI use; learning)_
- Provide customers with information about local roads or highways. _(0.4% of measured AI use; directive)_
- Check air pressure in vehicle tires; and levels of fuel, motor oil, transmission, radiator, battery, and other fluids; and add air, oil, water, or other fluids, as required. _(0.4% of measured AI use)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me test and charge batteries.
- Help me provide customers with information about local roads or highways.
- Help me check air pressure in vehicle tires; and levels of fuel, motor oil, transmission, radiator, battery, and other fluids; and add air, oil, water, or other fluids, as required.

## 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-53-6031-00_