Stockers and order fillers
SOC Code: 53-7065
Stockers and order fillers carries a 43% AI exposure score (High automation risk), with a median annual wage of $37,090 and +8.5% projected employment growth from 2024 to 2034 (BLS), affecting approximately 2,764,800 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
At 43% AI exposure, Stockers and order fillers sits 6 points above the 37.2% average across 832 U.S. occupations - more exposed than 76% of them. Most of its core tasks still require human judgment.
Where Stockers and order fillers sits among all occupations
AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.
Stockers and order fillers has ai exposure of 43%. Distribution: 1 occupations at 0-10%; 43 occupations at 10-20%; 184 occupations at 20-30%; 332 occupations at 30-40%; 158 occupations at 40-50%; 64 occupations at 50-60%; 29 occupations at 60-70%; 15 occupations at 70-80%; 5 occupations at 80-90%; 1 occupations at 90-100%.
Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.
Stockers and order fillers vs. its occupational neighbors
AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Stockers and order fillers is marked in rose; the top-left corner is the most future-proof.
Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).
Employment Projections
Occupation Insight
Stockers and order fillers (SOC 53-7065) carries an AI exposure score of 43%, placing it in the High automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score in the 40–70% range indicates meaningful automation pressure on specific task categories, but the role as a whole still requires human judgment for coordination, exception handling, or client interaction.
The economic context matters alongside the risk score. BLS counted approximately 2,764,800 workers in this occupation in 2024, and projects a +8.5% change through 2034 - modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $37,090, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires No formal educational credential, plus None of related experience.
For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Stockers and order fillers. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Complete order receipts.
- 2. Answer customers' questions about merchandise and advise customers on merchandise selection.
- 3. Compute prices of items or groups of items.
- 4. Issue or distribute materials, products, parts, and supplies to customers or coworkers, based on information from incoming requisitions.
- 5. Keep records of out-going orders.
- 6. Stock shelves, racks, cases, bins, and tables with new or transferred merchandise.
- 7. Operate equipment such as forklifts.
- 8. Stamp, attach, or change price tags on merchandise, referring to price list.
- 9. Obtain merchandise from bins or shelves.
- 10. Itemize and total customer merchandise selection at checkout counter, using cash register, and accept cash or charge card for purchases.
Key Skills Required
- Active Listening
- Reading Comprehension
- Speaking
- Monitoring
- Social Perceptiveness
- Service Orientation
- Critical Thinking
- Coordination
- Judgment and Decision Making
- Time Management
Knowledge Areas
- Customer and Personal Service
- English Language
- Public Safety and Security
- Transportation
- Mathematics
- Administrative
- Education and Training
- Computers and Electronics
- Sales and Marketing
- Communications and Media
Frequently Asked Questions
Will AI replace Stockers and order fillers?
Stockers and order fillers has an AI exposure score of 43%, indicating a high level of automation risk. Some tasks in this role can be augmented or partially automated by AI, but core responsibilities require human judgment.
What is the job outlook for Stockers and order fillers?
According to BLS Employment Projections 2024-2034, Stockers and order fillers is projected to grow by 8.5% over the decade. Current employment stands at approximately 2,764,800 workers.
What skills are needed for Stockers and order fillers?
Key skills for Stockers and order fillers include Active Listening, Reading Comprehension, Speaking, and others. Typical entry-level education is No formal educational credential.
How much do Stockers and order fillers earn?
The median annual wage for Stockers and order fillers is $37,090, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.
What education is required for Stockers and order fillers?
The typical entry-level education for Stockers and order fillers is No formal educational credential. Employers generally expect None of related work experience. On-the-job training typically involves Short-term on-the-job training. Requirements can vary by employer and specialization.
Which companies employ Stockers and order fillers?
Stockers and order fillers roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.
AI Exposure Rating
High automation risk based on 10 analyzed tasks. A moderate share of tasks may be augmented by AI tools.
Related Occupations
Career Guides
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Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).