Logging equipment operators
SOC Code: 45-4022
Logging equipment operators carries a 22% AI exposure score (Medium automation risk), with a median annual wage of $49,210 and -1.4% projected employment growth from 2024 to 2034 (BLS), affecting approximately 30,900 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
At 22% AI exposure, Logging equipment operators sits 15 points below the 37.2% average across 832 U.S. occupations - more exposed than 9% of them. It ranks among the more AI-resilient roles in the dataset.
Career outlook score
48/100
Logging equipment operators, 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 $49,210
Annual median wage, percentile rank vs all tracked occupations
- Projected growth F -1.4%
Projected employment change, 2024-2034, BLS Employment Projections
- AI exposure (inverted) A+ 22% exposure
Lower O*NET task-automability scores lower risk; this dimension scores security, not 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).
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 Logging equipment operators in the Medium band.
Credential × growth standing
Open entry with non-declining BLS pace
Logging equipment operators keeps an HS / some college bar (333 of 832) and sits in Slow growth (245 of 832). Lower formal gates with a non-shrinking employment line - skill and AI desks matter more than credentials here.
Where Logging equipment operators sits among all occupations
AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.
Where Logging equipment operators sits by AI exposure
AI-exposure score distribution across U.S. occupations (O*NET task analysis)
22% Among the lowest lower than 91% 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.
Logging equipment operators vs. its occupational neighbors
AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Logging equipment operators is marked in rose; the top-left corner is the most future-proof.
Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).
Employment Projections
Where This Score Comes From
Logging equipment operators's Medium 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 below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.
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 45-4022) 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 Logging equipment operators 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 Logging equipment operators. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Inspect equipment for safety prior to use, and perform necessary basic maintenance tasks.
- 2. Control hydraulic tractors equipped with tree clamps and booms to lift, swing, and bunch sheared trees.
- 3. Grade logs according to characteristics such as knot size and straightness, and according to established industry or company standards.
- 4. Drive and maneuver tractors and tree harvesters to shear the tops off of trees, cut and limb the trees, and cut the logs into desired lengths.
- 5. Drive straight or articulated tractors equipped with accessories such as bulldozer blades, grapples, logging arches, cable winches, and crane booms to skid, load, unload, or stack logs, pull stumps, or clear brush.
- 6. Drive crawler or wheeled tractors to drag or transport logs from felling sites to log landing areas for processing and loading.
- 7. Fill out required job or shift report forms.
- 8. Calculate total board feet, cordage, or other wood measurement units, using conversion tables.
- 9. Drive tractors for building or repairing logging and skid roads.
Key Skills Required
- Operation and Control
- Operations Monitoring
- Equipment Maintenance
- Active Listening
- Monitoring
- Troubleshooting
- Quality Control Analysis
- Critical Thinking
- Complex Problem Solving
- Repairing
Knowledge Areas
- Mechanical
- Public Safety and Security
- Production and Processing
- Transportation
- Administration and Management
- Customer and Personal Service
- Engineering and Technology
- Mathematics
- Physics
- Education and Training
Frequently Asked Questions
Will AI replace Logging equipment operators?
Logging equipment operators has an AI exposure score of 22%, 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 Logging equipment operators?
According to BLS Employment Projections 2024-2034, Logging equipment operators is projected to decline by 1.4% over the decade. Current employment stands at approximately 30,900 workers.
What skills are needed for Logging equipment operators?
Key skills for Logging equipment operators include Operation and Control, Operations Monitoring, Equipment Maintenance, and others. Typical entry-level education is High school diploma or equivalent.
How much do Logging equipment operators earn?
The median annual wage for Logging equipment operators is $49,210, 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 Logging equipment operators?
The typical entry-level education for Logging equipment operators is High school diploma or equivalent. Employers generally expect None of related work experience. On-the-job training typically involves Moderate-term on-the-job training. Requirements can vary by employer and specialization.
Which companies employ Logging equipment operators?
Logging equipment 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
Medium automation risk based on 9 analyzed tasks. Most tasks require human judgment and are resistant to automation.
Nationwide occupations with similar workforce profiles
Two data-derived peer sets for Logging equipment operators: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).
Similar AI exposure score
Nearest O*NET task-automability scores nationwide (22% here).
- Exercise physiologists · AI exposure 22%
- Hearing aid specialists · AI exposure 22%
- Janitors and cleaners, except maids and housekeeping cleaners · AI exposure 22%
- Obstetricians and gynecologists · AI exposure 22%
Similar projected growth (2024–2034)
Nearest BLS employment change rates nationwide (-1.4% here).
- Ambulance drivers and attendants, except emergency medical technicians · growth -1.3%
- Farmers, ranchers, and other agricultural managers · growth -1.3%
- Education administrators, kindergarten through secondary · growth -1.5%
- Hosts and hostesses, restaurant, lounge, and coffee shop · growth -1.5%
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.
Related Occupations
Showing 6 of 10 occupations with a comparable automation-risk profile.
What to do with this
Use Logging equipment operators' numbers above to compare, not just read in isolation.
- Compare Logging equipment operators side by side against another occupation on wage, growth, and AI exposure. Workforce comparison tool
- Understand how the AI exposure score above is actually calculated before treating it as a verdict. Reading AI exposure scores
- See the full ranked list of occupations with the lowest automation exposure nationwide. Safest occupations from AI
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).