# Driver/Sales Workers

> Drive truck or other vehicle over established routes or within an established territory and sell or deliver goods, such as food products, including restaurant take-out items, or pick up or deliver items such as commercial laundry. May also take orders, collect payment, or stock merchandise at point of delivery.

- **SOC code:** 53-3031.00
- **Canonical URL:** https://singulariki.com/roles/role-53-3031-00
- **Also known as:** Driver, Driver Salesman, Route Driver, Route Salesman, Delivery Man, Pizza Delivery Driver, Route Delivery Driver, Route Sales Driver
- **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):
- Drive trucks to deliver such items as food, medical supplies, or newspapers.
- Arrange merchandise and sales promotion displays or issue sales promotion materials to customers.
- Collect coins from vending machines, refill machines, and remove aged merchandise.
- Inform regular customers of new products or services and price changes.
- Record sales or delivery information on daily sales or delivery record.
- Listen to and resolve customers' complaints regarding products or services.
- Collect money from customers, make change, and record transactions on customer receipts.
- Maintain trucks and food-dispensing equipment and clean inside of machines that dispense food or beverages.
- Write customer orders and sales contracts according to company guidelines.
- Review lists of dealers, customers, or station drops and load trucks.
- Sell food specialties, such as sandwiches and beverages, to office workers and patrons of sports events.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- Active Listening _(essential_skill)_
- Oral Comprehension _(ability)_
- Oral Expression _(ability)_
- Food Production _(knowledge)_
- Speaking _(essential_skill)_
- English Language _(knowledge)_
- Transportation _(knowledge)_
- Near Vision _(ability)_
- Public Safety and Security _(knowledge)_
- Critical Thinking _(essential_skill)_
- Service Orientation _(transferable_skill)_

**Skills in demand:**
- Active Listening _(Common Skill)_
- English Language _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Critical Thinking _(Common Skill)_
- Time Management _(Common Skill)_
- Social Perceptiveness _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Inductive Reasoning _(Common Skill)_
- Finger Dexterity _(Common Skill)_
- Deductive Reasoning _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- bMobile Technology Route Manager
- bMobile Technology Sales
- Computer Directions Route Sales Tracker
- GEOCOMtms A.Maze Planning
- IBM Domino
- MobiTech Systems Route Sales Trakker
- Regulussoft Route Accounting
- Route planning software
- Soft Essentials Vending Essentials

## AI exposure & outlook

- **AI task-overlap index:** 29th percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 28th percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 44th percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 18th percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 97th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 8.8% growth (Growing fast); 51.3k annual openings; 451.5k → 491.3k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $37,130; 417,420 employed.

## How people actually use AI here

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

- **Automation vs augmentation:** 8% automation, 46% augmentation (usage-weighted).
- **Autonomy median:** 3.5 (higher = AI acts more independently).
- **Dominant collaboration mode:** none.

**Tasks most handed to AI here:**
- Listen to and resolve customers' complaints regarding products or services. _(1.5% of measured AI use; none)_
- Call on prospective customers to explain company services or to solicit new business. _(0.3% of measured AI use; task iteration)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me listen to and resolve customers' complaints regarding products or services.
- Help me call on prospective customers to explain company services or to solicit new business.

## 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

---
_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-53-3031-00_