Machine feeders and offbearers
SOC Code: 53-7063
Machine feeders and offbearers carries a 33% AI exposure score (Medium automation risk), with a median annual wage of $39,700 and -13.0% projected employment growth from 2024 to 2034 (BLS), affecting approximately 46,500 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
At 33% AI exposure, Machine feeders and offbearers sits 4 points below the 37.2% average across 832 U.S. occupations - more exposed than 41% of them. Most of its core tasks still require human judgment.
Career outlook score
24/100
Machine feeders and offbearers, 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 $39,700
Annual median wage, percentile rank vs all tracked occupations
- Projected growth F -13.0%
Projected employment change, 2024-2034, BLS Employment Projections
- AI exposure (inverted) C 33% 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 Machine feeders and offbearers in the Medium band.
Credential × growth standing
Open entry on a declining BLS line
Typical entry is No credential (109/832) 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 Machine feeders and offbearers sits among all occupations
AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.
Where Machine feeders and offbearers sits by AI exposure
AI-exposure score distribution across U.S. occupations (O*NET task analysis)
33% Lower than most lower than 59% 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.
Machine feeders and offbearers vs. its occupational neighbors
AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Machine feeders and offbearers 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
Machine feeders and offbearers'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 53-7063) 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 Machine feeders and offbearers 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 Machine feeders and offbearers. 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 materials and products for defects, and to ensure conformance to specifications.
- 2. Record production and operational data, such as amount of materials processed.
- 3. Push dual control buttons and move controls to start, stop, or adjust machinery and equipment.
- 4. Weigh or measure materials or products to ensure conformance to specifications.
- 5. Identify and mark materials, products, and samples, following instructions.
- 6. Clean and maintain machinery, equipment, and work areas to ensure proper functioning and safe working conditions.
- 7. Load materials and products into machines and equipment, or onto conveyors, using hand tools and moving devices.
- 8. Remove materials and products from machines and equipment, and place them in boxes, trucks or conveyors, using hand tools and moving devices.
- 9. Transfer materials and products to and from machinery and equipment, using industrial trucks or hand trucks.
- 10. Shovel or scoop materials into containers, machines, or equipment for processing, storage, or transport.
Key Skills Required
- Operations Monitoring
- Monitoring
- Reading Comprehension
- Active Listening
- Speaking
- Troubleshooting
- Quality Control Analysis
- Operation and Control
- Critical Thinking
- Social Perceptiveness
Knowledge Areas
- Production and Processing
- Mechanical
- Mathematics
- English Language
- Public Safety and Security
- Education and Training
- Administrative
- Administration and Management
- Computers and Electronics
- Personnel and Human Resources
Frequently Asked Questions
Will AI replace Machine feeders and offbearers?
Machine feeders and offbearers has an AI exposure score of 33%, 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 Machine feeders and offbearers?
According to BLS Employment Projections 2024-2034, Machine feeders and offbearers is projected to decline by 13.0% over the decade. Current employment stands at approximately 46,500 workers.
What skills are needed for Machine feeders and offbearers?
Key skills for Machine feeders and offbearers include Operations Monitoring, Monitoring, Reading Comprehension, and others. Typical entry-level education is No formal educational credential.
How much do Machine feeders and offbearers earn?
The median annual wage for Machine feeders and offbearers is $39,700, 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 Machine feeders and offbearers?
The typical entry-level education for Machine feeders and offbearers 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 Machine feeders and offbearers?
Machine feeders and offbearers 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 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.
Nationwide occupations with similar workforce profiles
Two data-derived peer sets for Machine feeders and offbearers: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).
Similar AI exposure score
Nearest O*NET task-automability scores nationwide (33% here).
- Atmospheric, earth, marine, and space sciences teachers, postsecondary · AI exposure 33%
- Audio and video technicians · AI exposure 33%
- Bailiffs · AI exposure 33%
- Commercial and industrial designers · AI exposure 33%
Similar projected growth (2024–2034)
Nearest BLS employment change rates nationwide (-13.0% here).
- Tellers · growth -12.9%
- Heat treating equipment setters, operators, and tenders, metal and plastic · growth -12.8%
- New accounts clerks · growth -13.2%
- Cooks, fast food · growth -13.5%
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 28 occupations with a comparable automation-risk profile.
What to do with this
Use Machine feeders and offbearers' numbers above to compare, not just read in isolation.
- Compare Machine feeders and offbearers 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).