High AI Risk Fast Growth

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.

AI Exposure Score
43% High

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+8.5%
2024–2034 (BLS)
+235,000 jobs
Median Annual Wage
$37,090
BLS May 2024
How wage figures are sourced →

AI Exposure vs Industry Growth

Workforce demand by occupation Sanctioned bespoke signature viz (@signature-viz, KIZ-799) showing occupation-level workforce demand from BLS OEWS data. Pure SVG, no external dependencies.Projected Growth 2024-2034 (BLS)Technology+12.8%Healthcare+10.2%Professional+7.8%Education+5.8%Construction+4.5%Finance+4.6%Logistics+3.2%Government+1.2%Manufacturing-2.1%Retail-3.4%
National AI Exposure
40%
Average across all occupations
Avg Wage Growth
+3.2%
Median annual wage change
High-Risk Roles
127
Occupations with >70% AI exposure

Total occupations tracked

832

Covering all SOC major groups

Data currency

2024

BLS Employment Projections

AI exposure avg

40%

Fleet-wide median across all roles

Methodology confidence 92.0%
Industry standard

Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.

Employment Projections

2,764,800
Employment 2024
2,999,800
Projected 2034
+8.5%
Change (%)
+235,000
Change (jobs)

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

Typical Education
No formal educational credential
Work Experience
None
On-the-Job Training
Short-term on-the-job training

Top Tasks (O*NET)

  1. 1. Complete order receipts.
  2. 2. Answer customers' questions about merchandise and advise customers on merchandise selection.
  3. 3. Compute prices of items or groups of items.
  4. 4. Issue or distribute materials, products, parts, and supplies to customers or coworkers, based on information from incoming requisitions.
  5. 5. Keep records of out-going orders.
  6. 6. Stock shelves, racks, cases, bins, and tables with new or transferred merchandise.
  7. 7. Operate equipment such as forklifts.
  8. 8. Stamp, attach, or change price tags on merchandise, referring to price list.
  9. 9. Obtain merchandise from bins or shelves.
  10. 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

2.1
out of 5.0

High automation risk based on 10 analyzed tasks. A moderate share of tasks may be augmented by AI tools.

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).

Related

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial