High AI Risk Declining

Shipping, receiving, and inventory clerks

SOC Code: 43-5071

Shipping, receiving, and inventory clerks carries a 60% AI exposure score (High automation risk), with a median annual wage of $43,190 and -7.7% projected employment growth from 2024 to 2034 (BLS), affecting approximately 862,200 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
60% High
High exposure

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

Projected Growth
-7.7%
Bottom 10% growth
2024–2034 (BLS)
-66,300 jobs
Median Annual Wage
$43,190
Below typical pay
BLS May 2024
How wage figures are sourced →
The verdict

At 60% AI exposure, Shipping, receiving, and inventory clerks sits 23 points above the 37.2% average across 832 U.S. occupations - more exposed than 94% of them. Most of its core tasks still require human judgment.

60%
AI exposure
Top 6%
most exposed
-7.7%
Job growth 2024–34
$43,190
Median wage
F

Career outlook score

12/100

Shipping, receiving, and inventory clerks, 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 $43,190

    Annual median wage, percentile rank vs all tracked occupations

  • Projected growth F -7.7%

    Projected employment change, 2024-2034, BLS Employment Projections

  • AI exposure (inverted) F 60% 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 Shipping, receiving, and inventory clerks in the High band.

Credential × growth standing

Open entry on a declining BLS line

Typical entry is HS / some college (333/832) while growth is Declining (111/832). This is the crowded high-risk corner of the map - automation and headcount pressure compound without a degree moat.

Where Shipping, receiving, and inventory clerks sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

Where Shipping, receiving, and inventory clerks sits by AI exposure

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

60% Higher than most higher than 94% 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.

Shipping, receiving, and inventory clerks vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Shipping, receiving, and inventory clerks is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk34.1%50.1%66%82.0%97.9%-8.3%-5.0%-1.8%1.5%4.8%AI exposure (%) →Projected growth (%) →Customer service rep, AI exposure (%) →: 56% · Projected growth (%) →: -5.5%Customer service repOffice clerks, AI exposure (%) →: 84% · Projected growth (%) →: -6.7%Office clerksSecretaries, AI exposure (%) →: 77% · Projected growth (%) →: -1.6%SecretariesBookkeeping, AI exposure (%) →: 95% · Projected growth (%) →: -5.8%BookkeepingFirst-line superviso, AI exposure (%) →: 55% · Projected growth (%) →: -0.3%First-line supervisoReceptionists, AI exposure (%) →: 76% · Projected growth (%) →: 0%ReceptionistsShipping, AI exposure (%) →: 60% · Projected growth (%) →: -7.7%ShippingMedical secretaries, AI exposure (%) →: 80% · Projected growth (%) →: 4.2%Medical secretariesExecutive secretarie, AI exposure (%) →: 83% · Projected growth (%) →: -1.6%Executive secretarieBilling, AI exposure (%) →: 88% · Projected growth (%) →: -0.4%BillingProduction, AI exposure (%) →: 69% · Projected growth (%) →: -1.8%Production

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

Employment Projections

862,200
Employment 2024
795,800
Projected 2034
-7.7%
Change (%)
-66,300
Change (jobs)

Where This Score Comes From

Shipping, receiving, and inventory clerks'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 43-5071) 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 Shipping, receiving, and inventory clerks 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 Shipping, receiving, and inventory clerks. Public companies with meaningful exposure to this occupation, such as Arthur J. Gallagher & Co. and Price T Rowe Group Inc, inherit a share of the same automation risk through their industry classification. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.

Education & Entry Requirements

Typical Education
High school diploma or equivalent
Work Experience
None
On-the-Job Training
Short-term on-the-job training

Top Tasks (O*NET)

  1. 1. Examine shipment contents and compare with records, such as manifests, invoices, or orders, to verify accuracy.
  2. 2. Requisition and store shipping materials and supplies to maintain inventory of stock.
  3. 3. Prepare documents, such as work orders, bills of lading, or shipping orders, to route materials.
  4. 4. Pack, seal, label, or affix postage to prepare materials for shipping, using hand tools, power tools, or postage meter.
  5. 5. Record shipment data, such as weight, charges, space availability, damages, or discrepancies, for reporting, accounting, or recordkeeping purposes.
  6. 6. Confer or correspond with establishment representatives to rectify problems, such as damages, shortages, or nonconformance to specifications.
  7. 7. Deliver or route materials to departments using handtruck, conveyor, or sorting bins.
  8. 8. Contact carrier representatives to make arrangements or to issue instructions for shipping and delivery of materials.
  9. 9. Determine shipping methods, routes, or rates for materials to be shipped.
  10. 10. Compute amounts, such as space available, shipping, storage, or demurrage charges, using computer or price list.

Key Skills Required

  • Speaking
  • Reading Comprehension
  • Active Listening
  • Critical Thinking
  • Monitoring
  • Time Management
  • Social Perceptiveness
  • Coordination
  • Complex Problem Solving
  • Judgment and Decision Making

Knowledge Areas

  • Administrative
  • Computers and Electronics
  • Production and Processing
  • Mathematics
  • English Language
  • Administration and Management
  • Customer and Personal Service
  • Education and Training
  • Transportation
  • Public Safety and Security

Frequently Asked Questions

Will AI replace Shipping, receiving, and inventory clerks?

Shipping, receiving, and inventory clerks has an AI exposure score of 60%, 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 Shipping, receiving, and inventory clerks?

According to BLS Employment Projections 2024-2034, Shipping, receiving, and inventory clerks is projected to decline by 7.7% over the decade. Current employment stands at approximately 862,200 workers.

What skills are needed for Shipping, receiving, and inventory clerks?

Key skills for Shipping, receiving, and inventory clerks include Speaking, Reading Comprehension, Active Listening, and others. Typical entry-level education is High school diploma or equivalent.

How much do Shipping, receiving, and inventory clerks earn?

The median annual wage for Shipping, receiving, and inventory clerks is $43,190, 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 Shipping, receiving, and inventory clerks?

The typical entry-level education for Shipping, receiving, and inventory clerks is High school diploma or equivalent. 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 Shipping, receiving, and inventory clerks?

Public companies with significant Shipping, receiving, and inventory clerks workforce shares include Arthur J. Gallagher & Co., Price T Rowe Group Inc, Popular, Inc., among others. These employers are mapped by industry classification (SIC/NAICS) to BLS occupation-industry employment distributions. See the full employer rankings for AI displacement risk grades.

Employers with High AI Exposure in This Occupation Group

Public companies whose industry occupation mix includes a significant share of Shipping, receiving, and inventory clerks roles.

Company AI Grade Risk Score
Arthur J. Gallagher & Co. D 50.5%
Price T Rowe Group Inc D 50.5%
Popular, Inc. D 50.5%
Berkshire Hathaway Inc D 50.5%
JPMorgan Chase & Co D 50.5%
Bank Of America Corp /De/ D 50.5%
Hsbc Holdings PLC D 50.5%
Unitedhealth Group Inc D 50.5%

AI Exposure Rating

3.0
out of 5.0

High automation risk based on 10 analyzed tasks. A majority of tasks in this occupation are susceptible to AI automation.

Nationwide occupations with similar workforce profiles

Two data-derived peer sets for Shipping, receiving, and inventory clerks: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).

Similar AI exposure score

Nearest O*NET task-automability scores nationwide (60% here).

Similar projected growth (2024–2034)

Nearest BLS employment change rates nationwide (-7.7% 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 Shipping, receiving, and inventory clerks' 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.