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Stockers and Order Fillers

Occupation · SOC 53-7065.00

Receive, store, and issue merchandise, materials, equipment, and other items from stockroom, warehouse, or storage yard to fill shelves, racks, tables, or customers' orders. May operate power equipment to fill orders. May mark prices on merchandise and set up sales displays.

Also called: Checker Stocker · Order Filler · Stock Clerk · Stocker · Inventory Specialist · Inventory Technician (Inventory Tech) · Label Maker · Marking Clerk · Order Picker · Warehouse Technician (Warehouse Tech) · Agent Contract Clerk · Backroom Associate

Job family: Transportation and Material Moving Occupations

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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.

29th-percentile task overlap — yet about 472,300 openings a year (+8.5% projected, BLS) . What exposure means →

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) Low 29th 0.3
AI assistant applicability (Microsoft) Low 33rd 0.1

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 0.3). 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.

Answer customers' questions about merchandise and advise customers on merchandise selection. 0.5%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook Growing fast · +8.5% by 2034
Projected annual openings 472,300
Employment 2024 → 2034 2,764,800 → 2,999,800

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Tasks

All 30 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

Near Vision 3.6
Oral Comprehension 3.4
Trunk Strength 3.3
Written Comprehension 3.1
Oral Expression 3.1
Manual Dexterity 3.1
Extent Flexibility 3.1
Speech Clarity 3.1
Information Ordering 3.0
Selective Attention 3.0
Arm-Hand Steadiness 3.0
Multilimb Coordination 3.0
Static Strength 3.0
Speech Recognition 3.0
Problem Sensitivity 2.9
Category Flexibility 2.9
Dynamic Strength 2.8
Deductive Reasoning 2.6
Inductive Reasoning 2.6
Perceptual Speed 2.6
Finger Dexterity 2.6
Stamina 2.6
Gross Body Coordination 2.6
Far Vision 2.6
Visual Color Discrimination 2.6
Depth Perception 2.6

Essential skills

Active Listening 3.3
Reading Comprehension 3.0
Speaking 2.9
Monitoring 2.9
Critical Thinking 2.8

Knowledge

Customer and Personal Service 3.2
English Language 3.1
Public Safety and Security 2.8
Transportation 2.8

Transferable skills

Social Perceptiveness 2.9
Service Orientation 2.9
Coordination 2.8
Judgment and Decision Making 2.6
Time Management 2.6

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
Apple Safari Internet browser software Hot technology
Google Docs Word processing software Hot technology
Microsoft Access Data base user interface and query software Hot technology
Microsoft Edge Internet browser software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft Windows Operating system software Hot technology
Microsoft Word Word processing software Hot technology
Mozilla Firefox Internet browser software Hot technology
SAP software Enterprise resource planning ERP software Hot technology
Data entry software Data base user interface and query software
Eko Desktop communications software
Email software Electronic mail software
Handheld computer device software Operating system software
Inventory management systems Inventory management software
Inventory tracking software Inventory management software
Microsoft Dynamics GP Enterprise resource planning ERP software
Oracle JD Edwards EnterpriseOne Enterprise resource planning ERP software
Ordering software Inventory management software
Voice picking software Voice synthesizer and recognition software
Warehouse management system WMS Materials requirements planning logistics and supply chain software
Work scheduling software Calendar and scheduling 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 4.9
Contact With Others 4.5
Indoors, Environmentally Controlled 4.3
Work With or Contribute to a Work Group or Team 4.2
Deal With External Customers or the Public in General 4.1
Importance of Being Exact or Accurate 4.0
Spend Time Standing 3.9
Telephone Conversations 3.9
Freedom to Make Decisions 3.9
Determine Tasks, Priorities and Goals 3.8
Importance of Repeating Same Tasks 3.7
Physical Proximity 3.5
Spend Time Making Repetitive Motions 3.5
Time Pressure 3.4
Frequency of Decision Making 3.4
Coordinate or Lead Others in Accomplishing Work Activities 3.4
E-Mail 3.4
Impact of Decisions on Co-workers or Company Results 3.4
Spend Time Walking or Running 3.3
Dealing With Unpleasant, Angry, or Discourteous People 3.3
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.1
Health and Safety of Other Workers 2.8
Spend Time Bending or Twisting Your Body 2.8
Written Letters and Memos 2.8
Work Outcomes and Results of Other Workers 2.6
Conflict Situations 2.5
Spend Time Sitting 2.4
Level of Competition 2.3
Public Speaking 2.3
Indoors, Not Environmentally Controlled 2.3
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 2.2
Consequence of Error 2.2
Spend Time Kneeling, Crouching, Stooping, or Crawling 2.1
Exposed to Contaminants 2.1
Degree of Automation 2.0
Exposed to Very Hot or Cold Temperatures 1.8
Spend Time Keeping or Regaining Balance 1.8
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 1.8
Outdoors, Exposed to All Weather Conditions 1.7
Exposed to Cramped Work Space, Awkward Positions 1.7

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.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
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 56.6%
Some College Courses 29.6%
Less than a High School Diploma 7.8%
Associate's Degree (or other 2-year degree) 3.7%
Post-Secondary Certificate 2.1%
Bachelor's Degree 0.3%

Interests & work styles

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

Career interests (Holland / RIASEC)

Conventional 6.3
Realistic 4.8
Enterprising 3.3
Social 1.9

Interest areas

Physical/Manual Labor 5.5
Transportation/Machine Operation 3.1
Sales 1.9
Personal Service 1.6
Accounting 1.5
Office Work 1.5
Marketing/Advertising 1.4
Management/Administration 1.4

Work styles

Dependability 2.1
Attention to Detail 1.9
Integrity 1.4
Cooperation 1.4

Wages & employment

U.S. · annual wages (BLS OEWS)

$30k10th$34k25th$37kMedian$43k75th$49k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
2.76M20243.00M2034 (proj.)+8.5% · Growing fast
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $29,850
25th percentile $33,710
Median (50th) $37,090
75th percentile $43,140
90th percentile $49,200
People employed 2,779,530

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Retail Trade · Sector 1,829,910 $35,910
Transportation and Warehousing · Sector 417,100 $41,840
Wholesale Trade · Sector 260,000 $40,470
Manufacturing · Sector 80,890 $43,740
Administrative and Support and Waste Management and Remediation Services · Sector 61,130 $36,460
Temporary Help Services · National industry 42,310 $36,290
Health Care and Social Assistance · Sector 29,850 $39,770
Pharmacies and Drug Retailers · National industry 17,220 $36,110
Professional, Scientific, and Technical Services · Sector 15,120 $35,450
Accommodation and Food Services · Sector 13,530 $37,370
Management of Companies and Enterprises · Sector 11,790 $39,770
Construction · Sector 11,000 $45,550

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Retail Trade · Sector 6.51× 1,829,910
Transportation and Warehousing · Sector 3.13× 417,100
Wholesale Trade · Sector 2.39× 260,000
Sporting Goods Retailers · National industry 1.95× 10,480
Pharmacies and Drug Retailers · National industry 1.35× 17,220
Farm and Garden Machinery and Equipment Merchant Wholesalers · National industry 0.97× 1,990
Temporary Help Services · National industry 0.89× 42,310
Jewelry and Silverware Manufacturing · National industry 0.61× 220

Part of the Supply Chain & Transportation career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Stockers and Order Fillers sits at the 29th percentile of AI task-overlap and the 7th percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Stockers and Order Fillers Laborers and Freight, Stock, and Material Movers, Hand Postal Service Mail Sorters, Processors, and Processing Machine Operators Weighers, Measurers, Checkers, and Samplers, Recordkeeping Postal Service Clerks Cashiers Counter and Rental Clerks Production, Planning, and Expediting Clerks Order Clerks Procurement Clerks 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 Stockers and Order Fillers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Write a report on thisheadline · factoids · citation

Stockers and Order Fillers show 29th-percentile AI task overlap — and about 472,300 annual U.S. openings

  • Stockers and Order Fillers rank in the 29th percentile (Low 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
  • The occupation is projected to see about 472,300 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be growing fast (+8.5%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $37,090, across about 2,779,530 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Stockers and Order Fillers show 29th-percentile AI task overlap — and about 472,300 annual U.S. openings

• Stockers and Order Fillers rank in the 29th percentile (Low 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)
• The occupation is projected to see about 472,300 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be growing fast (+8.5%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $37,090, across about 2,779,530 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Stockers and Order Fillers". https://singulariki.com/roles/role-53-7065-00
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. "Stockers and Order Fillers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/roles/role-53-7065-00

APA

Singulariki. (2026). Stockers and Order Fillers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-53-7065-00

BibTeX
@misc{singulariki-role-53-7065-00,
  title  = {Stockers and Order Fillers},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-53-7065-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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