High AI Risk Slow Growth

Conveyor operators and tenders

SOC Code: 53-7011

Conveyor operators and tenders carries a 47% AI exposure score (High automation risk), with a median annual wage of $41,230 and -3.4% projected employment growth from 2024 to 2034 (BLS), affecting approximately 29,100 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
47% High

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

Projected Growth
-3.4%
2024–2034 (BLS)
-1,000 jobs
Median Annual Wage
$41,230
BLS May 2024
How wage figures are sourced →
The verdict

At 47% AI exposure, Conveyor operators and tenders sits 10 points above the 37.2% average across 832 U.S. occupations - more exposed than 83% of them. Most of its core tasks still require human judgment.

47%
AI exposure
Top 17%
most exposed
-3.4%
Job growth 2024–34
$41,230
Median wage

Where Conveyor operators and tenders sits among all occupations

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

AI exposure distribution - Conveyor operators and tenders marked 1 occupations at 0–10% 1 0 43 occupations at 10–20% 43 10 184 occupations at 20–30% 184 20 332 occupations at 30–40% 332 30 158 occupations at 40–50% 158 40 64 occupations at 50–60% 64 50 29 occupations at 60–70% 29 60 15 occupations at 70–80% 15 70 5 occupations at 80–90% 5 80 1 occupations at 90–100% 1 90 AI exposure (%) →
Top 17% by AI exposure Higher AI exposure than 83% of all 832 occupations.

Conveyor operators and tenders has ai exposure of 47%. 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.

Conveyor operators and tenders vs. its occupational neighbors

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

Future-proofGrowing but exposedStable, lower-AIMost at risk18.6%26.1%33.5%40.9%48.4%-6.1%-2.2%1.7%5.6%9.5%AI exposure (%) →Projected growth (%) →Conveyor operatorsLaborersStockersHeavyLight truck driversIndustrial truckFirst-line supervisoPackersDriver/sales workersCleaners of vehiclesBus driversShuttle drivers

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

Employment Projections

29,100
Employment 2024
28,100
Projected 2034
-3.4%
Change (%)
-1,000
Change (jobs)

Occupation Insight

Conveyor operators and tenders (SOC 53-7011) carries an AI exposure score of 47%, 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 29,100 workers in this occupation in 2024, and projects a -3.4% change through 2034 - a decline that often compounds with high AI exposure to create displacement headwinds. Median annual compensation stands at $41,230, 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 Conveyor operators and tenders. 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. Observe packages moving along conveyors to identify packages, detect defective packaging, and perform quality control.
  2. 2. Collect samples of materials or products, checking them to ensure conformance to specifications or sending them to laboratories for analysis.
  3. 3. Inform supervisors of equipment malfunctions that need to be addressed.
  4. 4. Position deflector bars, gates, chutes, or spouts to divert flow of materials from one conveyor onto another conveyor.
  5. 5. Observe conveyor operations and monitor lights, dials, and gauges to maintain specified operating levels and to detect equipment malfunctions.
  6. 6. Record production data such as weights, types, quantities, and storage locations of materials, as well as equipment performance problems and downtime.
  7. 7. Repair or replace equipment components or parts such as blades, rolls, and pumps.
  8. 8. Load, unload, or adjust materials or products on conveyors by hand, by using lifts, hoists, and scoops, or by opening gates, chutes, or hoppers.
  9. 9. Stop equipment or machinery and clear jams, using poles, bars, and hand tools, or remove damaged materials from conveyors.
  10. 10. Manipulate controls, levers, and valves to start pumps, auxiliary equipment, or conveyors, and to adjust equipment positions, speeds, timing, and material flows.

Key Skills Required

  • Operations Monitoring
  • Operation and Control
  • Monitoring
  • Active Listening
  • Speaking
  • Critical Thinking
  • Complex Problem Solving
  • Reading Comprehension
  • Troubleshooting
  • Quality Control Analysis

Knowledge Areas

  • English Language
  • Mechanical
  • Public Safety and Security
  • Production and Processing
  • Transportation
  • Education and Training
  • Law and Government
  • Customer and Personal Service
  • Administrative
  • Administration and Management

Frequently Asked Questions

Will AI replace Conveyor operators and tenders?

Conveyor operators and tenders has an AI exposure score of 47%, 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 Conveyor operators and tenders?

According to BLS Employment Projections 2024-2034, Conveyor operators and tenders is projected to decline by 3.4% over the decade. Current employment stands at approximately 29,100 workers.

What skills are needed for Conveyor operators and tenders?

Key skills for Conveyor operators and tenders include Operations Monitoring, Operation and Control, Monitoring, and others. Typical entry-level education is No formal educational credential.

How much do Conveyor operators and tenders earn?

The median annual wage for Conveyor operators and tenders is $41,230, 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 Conveyor operators and tenders?

The typical entry-level education for Conveyor operators and tenders 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 Conveyor operators and tenders?

Conveyor operators and tenders 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

2.4
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).

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

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.