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
Above-average exposure

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

Projected Growth
+8.5%
Top 10% growth
2024–2034 (BLS)
+235,000 jobs
Median Annual Wage
$37,090
Bottom 10% pay
BLS May 2024
How wage figures are sourced →
The verdict

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.

43%
AI exposure
Top 24%
most exposed
+8.5%
Job growth 2024–34
$37,090
Median wage
D

Career outlook score

42/100

Stockers and order fillers, weighted across 3 of 3 tracked dimensions

A weighted composite of median wage, projected growth, and AI-automation security (inverted exposure), each benchmarked against every other tracked occupation. It describes this occupation's standing across those three dimensions, not a guarantee of future outcomes.

  • Median wage F $37,090

    Annual median wage, percentile rank vs all tracked occupations

  • Projected growth A+ +8.5%

    Projected employment change, 2024-2034, BLS Employment Projections

  • AI exposure (inverted) F 43% exposure

    Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure

Employment vs AI exposure

Home health and personal care aides is #1 of 832 occupations by employment (4.3M, AI exposure rank #392 at 35%) vs. Bookkeeping, accounting, and auditing clerks #1 by AI task exposure (95%, employment rank #17 at 1.6M).

4.3M
Home health and personal care aides employment (#1)
#392
Home health and personal care aides AI rank
95%
Bookkeeping, accounting, and auditing clerks AI exposure (#1)
#17
Bookkeeping, accounting, and auditing clerks employment rank

Automation-risk inventory

Exclusive cut of 832 occupations by PlainWorkforce automation-risk band. Orthogonal to the continuous AI-exposure distribution chart below and to this occupation's single risk badge, this is the corpus band mix, with Stockers and order fillers in the High band.

Credential × growth standing

Open entry with non-declining BLS pace

Stockers and order fillers keeps an No credential bar (109 of 832) and sits in Fast growth (67 of 832). Lower formal gates with a non-shrinking employment line - skill and AI desks matter more than credentials here.

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.

Where Stockers and order fillers sits by AI exposure

AI-exposure score distribution across U.S. occupations (O*NET task analysis)

43% Higher than most higher than 76% of 832 occupations

Occupations, banded by AI-exposure score

Each bar is a band; taller bars hold more occupations. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.

Source O*NET task data (U.S. Department of Labor) · BLS 2024–2034

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.

Future-proofGrowing but exposedStable, lower-AIMost at risk18.9%25.2%31.5%37.8%44.1%-6.1%-2.2%1.7%5.6%9.5%AI exposure (%) →Projected growth (%) →Laborers, AI exposure (%) →: 23% · Projected growth (%) →: 1.5%LaborersStockers, AI exposure (%) →: 43% · Projected growth (%) →: 8.5%StockersHeavy, AI exposure (%) →: 43% · Projected growth (%) →: 4%HeavyLight truck drivers, AI exposure (%) →: 36% · Projected growth (%) →: 7.3%Light truck driversIndustrial truck, AI exposure (%) →: 24% · Projected growth (%) →: 1.1%Industrial truckFirst-line superviso, AI exposure (%) →: 35% · Projected growth (%) →: 3.7%First-line supervisoPackers, AI exposure (%) →: 41% · Projected growth (%) →: -5.4%PackersDriver/sales workers, AI exposure (%) →: 34% · Projected growth (%) →: 8.8%Driver/sales workersCleaners of vehicles, AI exposure (%) →: 20% · Projected growth (%) →: 3.9%Cleaners of vehiclesBus drivers, AI exposure (%) →: 32% · Projected growth (%) →: 0.2%Bus driversShuttle drivers, AI exposure (%) →: 36% · Projected growth (%) →: 6.7%Shuttle drivers

Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).

Employment Projections

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

Where This Score Comes From

Stockers and order fillers's High automation-risk tier is computed from O*NET Database 30.0 task-level analysis, where each documented task the 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 employment, wage, and education figures above come from a second, separate federal source: BLS Employment Projections 2024–2034, matched to the O*NET task data by Standard Occupational Classification (SOC 53-7065) code, with the wage figure cross-validated against the BLS Occupational Employment and Wage Statistics (OEWS) May 2024 survey. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets Stockers and order fillers be compared directly against every other tracked occupation on the same basis, not just roles that happen to share a job title.

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.

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.

Nationwide occupations with similar workforce profiles

Two data-derived peer sets for Stockers and order fillers: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).

Similar AI exposure score

Nearest O*NET task-automability scores nationwide (43% here).

Similar projected growth (2024–2034)

Nearest BLS employment change rates nationwide (+8.5% here).

Peers are nearest-neighbor matches on published BLS + O*NET metrics among occupations with ≥10,000 workers in 2024; corpus ranks above sort the full tracked set.

What to do with this

Use Stockers and order fillers' numbers above to compare, not just read in isolation.

AI exposure scores estimate task automatability from O*NET data; they are not a certainty of job loss, and BLS growth projections are estimates, not guarantees.

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).

Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.

Sources: BLS Employment Projections 2024-2034, O*NET Database 30.0.