Medium AI Risk Slow Growth

Industrial truck and tractor operators

SOC Code: 53-7051

Industrial truck and tractor operators carries a 24% AI exposure score (Medium automation risk), with a median annual wage of $46,390 and +1.1% projected employment growth from 2024 to 2034 (BLS), affecting approximately 792,500 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
24% Medium

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

Projected Growth
+1.1%
2024–2034 (BLS)
+9,100 jobs
Median Annual Wage
$46,390
BLS May 2024
How wage figures are sourced →
The verdict

At 24% AI exposure, Industrial truck and tractor operators sits 13 points below the 37.2% average across 832 U.S. occupations - more exposed than 13% of them. It ranks among the more AI-resilient roles in the dataset.

24%
AI exposure
13th
percentile
+1.1%
Job growth 2024–34
$46,390
Median wage

Where Industrial truck and tractor operators 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 - Industrial truck and tractor operators 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 87% by AI exposure Higher AI exposure than 13% of all 832 occupations.

Industrial truck and tractor operators has ai exposure of 24%. 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.

Industrial truck and tractor operators vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Industrial truck and tractor operators 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 (%) →LaborersStockersHeavyLight 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

792,500
Employment 2024
801,600
Projected 2034
+1.1%
Change (%)
+9,100
Change (jobs)

Occupation Insight

Industrial truck and tractor operators (SOC 53-7051) carries an AI exposure score of 24%, placing it in the Medium 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 below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.

The economic context matters alongside the risk score. BLS counted approximately 792,500 workers in this occupation in 2024, and projects a +1.1% change through 2034 - modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $46,390, 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 Industrial truck and tractor operators. 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. Move levers or controls that operate lifting devices, such as forklifts, lift beams with swivel-hooks, hoists, or elevating platforms, to load, unload, transport, or stack material.
  2. 2. Move controls to drive gasoline- or electric-powered trucks, cars, or tractors and transport materials between loading, processing, and storage areas.
  3. 3. Manually or mechanically load or unload materials from pallets, skids, platforms, cars, lifting devices, or other transport vehicles.
  4. 4. Position lifting devices under, over, or around loaded pallets, skids, or boxes and secure material or products for transport to designated areas.
  5. 5. Inspect product load for accuracy and safely move it around the warehouse or facility to ensure timely and complete delivery.
  6. 6. Weigh materials or products and record weight or other production data on tags or labels.
  7. 7. Perform routine maintenance on vehicles or auxiliary equipment, such as cleaning, lubricating, recharging batteries, fueling, or replacing liquefied-gas tank.
  8. 8. Operate or tend automatic stacking, loading, packaging, or cutting machines.
  9. 9. Turn valves and open chutes to dump, spray, or release materials from dump cars or storage bins into hoppers.

Key Skills Required

  • Operation and Control
  • Operations Monitoring
  • Coordination
  • Equipment Maintenance
  • Troubleshooting
  • Time Management
  • Reading Comprehension
  • Active Listening
  • Speaking
  • Critical Thinking

Knowledge Areas

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

Frequently Asked Questions

Will AI replace Industrial truck and tractor operators?

Industrial truck and tractor operators has an AI exposure score of 24%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.

What is the job outlook for Industrial truck and tractor operators?

According to BLS Employment Projections 2024-2034, Industrial truck and tractor operators is projected to grow by 1.1% over the decade. Current employment stands at approximately 792,500 workers.

What skills are needed for Industrial truck and tractor operators?

Key skills for Industrial truck and tractor operators include Operation and Control, Operations Monitoring, Coordination, and others. Typical entry-level education is No formal educational credential.

How much do Industrial truck and tractor operators earn?

The median annual wage for Industrial truck and tractor operators is $46,390, 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 Industrial truck and tractor operators?

The typical entry-level education for Industrial truck and tractor operators 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 Industrial truck and tractor operators?

Industrial truck and tractor operators 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

1.2
out of 5.0

Medium automation risk based on 9 analyzed tasks. Most tasks require human judgment and are resistant to automation.

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.