Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Occupation · SOC 53-1042.00
Directly supervise and coordinate the activities of helpers, laborers, or material movers, hand.
Also called: Receiving Supervisor · Shipping Supervisor · Warehouse Manager · Warehouse Supervisor · Floor Supervisor · Packaging Supervisor · Receiving Manager · Shipping Manager · Terminal Operations Manager · Warehouse Foreman · Agency Operator · Aircraft Cleaning Supervisor
Job family: Transportation and Material Moving Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-53-1042-00/context.md directly.
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 37th | 0.4 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.2), and including AI-powered software (γ 0.4). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Participate in the hiring process by reviewing credentials, conducting interviews, or making hiring decisions or recommendations. | 1.9% | |
| Prepare and maintain work records and reports of information such as employee time and wages, daily receipts, or inspection results. | 0.7% |
All 24 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Oral Comprehension | 4.0 | |
| Oral Expression | 4.0 | |
| Written Comprehension | 3.8 | |
| Speech Recognition | 3.8 | |
| Speech Clarity | 3.8 | |
| Deductive Reasoning | 3.6 | |
| Problem Sensitivity | 3.5 | |
| Inductive Reasoning | 3.4 | |
| Near Vision | 3.3 | |
| Written Expression | 3.1 | |
| Information Ordering | 3.1 | |
| Selective Attention | 3.1 | |
| Category Flexibility | 3.0 | |
| Manual Dexterity | 3.0 | |
| Far Vision | 3.0 |
| Coordination | 3.8 | |
| Management of Personnel Resources | 3.6 | |
| Complex Problem Solving | 3.4 | |
| Time Management | 3.4 | |
| Instructing | 3.1 | |
| Judgment and Decision Making | 3.1 | |
| Social Perceptiveness | 3.0 | |
| Negotiation | 3.0 | |
| Persuasion | 2.9 |
| Speaking | 3.6 | |
| Active Listening | 3.5 | |
| Critical Thinking | 3.4 | |
| Monitoring | 3.4 | |
| Reading Comprehension | 3.1 | |
| Writing | 3.1 | |
| Learning Strategies | 3.0 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
Share of people in this occupation at each level of education.
| High School Diploma | 35.2% | |
| Some College Courses | 30.8% | |
| Bachelor's Degree | 8.5% | |
| Associate's Degree (or other 2-year degree) | 4.2% |
The interests and personal qualities O*NET associates with people who do this work.
| Enterprising | 6.2 | |
| Conventional | 4.9 | |
| Social | 3.7 | |
| Realistic | 3.4 |
| Management/Administration | 5.8 | |
| Human Resources | 3.9 | |
| Physical/Manual Labor | 3.7 | |
| Transportation/Machine Operation | 2.8 | |
| Teaching/Education | 2.4 | |
| Public Speaking | 2.2 | |
| Office Work | 2.1 | |
| Accounting | 2.1 | |
| Professional Advising | 2.0 |
| Dependability | 3.0 | |
| Leadership Orientation | 3.0 | |
| Cooperation | 2.2 |
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
See where this work sits in the bigger picture.
First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand sit at the 35th percentile of AI task overlap among U.S. occupations
First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand sit at the 35th percentile of AI task overlap among U.S. occupations • First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand rank in the 35th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) Source: Singulariki — "First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand". https://singulariki.com/roles/role-53-1042-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
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.
Data compiled June 2, 2026. Figures are estimates, not advice.
Singulariki. "First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand." Singulariki: a source-backed encyclopedia of work. Built from 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. https://singulariki.com/roles/role-53-1042-00
Singulariki. (2026). First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-53-1042-00
@misc{singulariki-role-53-1042-00,
title = {First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand},
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/roles/role-53-1042-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.