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First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand

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

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A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-53-1042-00/context.md directly.

AI work map

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.

AI & job outlook

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.

Exposure to current AI

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.

How AI is actually used in this job

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%

Tasks

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.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Abilities

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

Transferable skills

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

Essential skills

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

Knowledge

Customer and Personal Service 3.5
Production and Processing 3.5
Administration and Management 3.4
Mechanical 3.3
Computers and Electronics 3.2
English Language 3.2
Mathematics 3.1
Public Safety and Security 3.1
Education and Training 3.0

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Tools & technology

Example Category
Microsoft Excel Spreadsheet software Hot technology In demand
Microsoft Office software Office suite software Hot technology In demand
Microsoft Outlook Electronic mail software Hot technology In demand
Microsoft PowerPoint Presentation software Hot technology In demand
Microsoft Word Word processing software Hot technology In demand
SAP software Enterprise resource planning ERP software Hot technology In demand
Microsoft Access Data base user interface and query software Hot technology
Oracle Database Data base user interface and query software Hot technology
Inventory management systems Inventory management software In demand
Warehouse management system WMS Inventory management software In demand
Corel WordPerfect Office Suite Office suite software
Employee scheduling software Calendar and scheduling software
Inventory control software Inventory management software
Sage ERP Accpac Enterprise resource planning ERP software
Time and attendance software Time accounting software

Work context

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.

Face-to-Face Discussions with Individuals and Within Teams 5.0
E-Mail 4.9
Contact With Others 4.9
Work With or Contribute to a Work Group or Team 4.9
Frequency of Decision Making 4.9
Telephone Conversations 4.9
Health and Safety of Other Workers 4.7
Work Outcomes and Results of Other Workers 4.7
Freedom to Make Decisions 4.6
Importance of Being Exact or Accurate 4.6
Time Pressure 4.5
Determine Tasks, Priorities and Goals 4.3
Coordinate or Lead Others in Accomplishing Work Activities 4.3
Impact of Decisions on Co-workers or Company Results 4.1
Deal With External Customers or the Public in General 4.0
Indoors, Environmentally Controlled 4.0
Written Letters and Memos 3.8
Level of Competition 3.7
Conflict Situations 3.7
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.6
Importance of Repeating Same Tasks 3.5
Spend Time Standing 3.3
Physical Proximity 3.2
Exposed to Very Hot or Cold Temperatures 3.2
Spend Time Sitting 3.2
Indoors, Not Environmentally Controlled 3.1
Outdoors, Exposed to All Weather Conditions 3.1
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 3.0
Dealing With Unpleasant, Angry, or Discourteous People 3.0
Public Speaking 2.9
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.9
Exposed to Contaminants 2.8
Spend Time Making Repetitive Motions 2.8
Spend Time Walking or Running 2.8
In an Enclosed Vehicle or Operate Enclosed Equipment 2.8
Consequence of Error 2.8
Pace Determined by Speed of Equipment 2.7
Degree of Automation 2.7
Exposed to Hazardous Equipment 2.5
Outdoors, Under Cover 2.3

How to get in

Job zone
Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
Education
Usually requires a high school diploma or GED, though some occupations may not.
Related experience
Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
Preparation level
SVP (Below 6.0) — total schooling plus on-the-job experience.

Education of current workers

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%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Career interests (Holland / RIASEC)

Enterprising 6.2
Conventional 4.9
Social 3.7
Realistic 3.4

Interest areas

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

Work styles

Dependability 3.0
Leadership Orientation 3.0
Cooperation 2.2
Exposure quadrant: AI task-overlap percentile vs Median pay AI task-overlap (horizontal) versus median pay (vertical) for 10 occupations adjacent to First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay First-Line Supervisors of Farming, Fishing, and Forestry Workers First-Line Supervisors of Housekeeping and Janitorial Workers First-Line Supervisors of Construction Trades and Extraction Workers Industrial Production Managers First-Line Supervisors of Production and Operating Workers First-Line Supervisors of Non-Retail Sales Workers First-Line Supervisors of Office and Administrative Support Workers AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

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.

Write a report on thisheadline · factoids · citation

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
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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.

Sources for this page

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.

Cite this page
Plain

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

APA

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

BibTeX
@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.

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