Prepress technicians and workers
SOC Code: 51-5111
Prepress technicians and workers carries a 57% AI exposure score (High automation risk), with a median annual wage of $47,300 and -14.6% projected employment growth from 2024 to 2034 (BLS), affecting approximately 26,200 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
At 57% AI exposure, Prepress technicians and workers sits 20 points above the 37.2% average across 832 U.S. occupations - more exposed than 93% of them. Most of its core tasks still require human judgment.
Career outlook score
14/100
Prepress technicians and workers, 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 $47,300
Annual median wage, percentile rank vs all tracked occupations
- Projected growth F -14.6%
Projected employment change, 2024-2034, BLS Employment Projections
- AI exposure (inverted) F 57% 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 Prepress technicians and workers in the High band.
Credential × growth standing
Associate / award entry with a named growth shelf
Entry credential Associate / award covers 99 of 832 occupations; BLS places this one in Declining (111/832). Mid-credential standing - thicker than graduate shelves, thinner than HS-dominated mass.
Where Prepress technicians and workers sits among all occupations
AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.
Where Prepress technicians and workers sits by AI exposure
AI-exposure score distribution across U.S. occupations (O*NET task analysis)
57% Higher than most higher than 93% 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.
Prepress technicians and workers vs. its occupational neighbors
AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Prepress technicians and workers 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
Prepress technicians and workers'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 51-5111) 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 Prepress technicians and workers 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 Prepress technicians and workers. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Generate prepress proofs in digital or other format to approximate the appearance of the final printed piece.
- 2. Proofread and perform quality control of text and images.
- 3. Enter, position, and alter text size, using computers, to make up and arrange pages so that printed materials can be produced.
- 4. Perform "preflight" check of required font, graphic, text and image files to ensure completeness prior to delivery to printer.
- 5. Operate and maintain laser plate-making equipment that converts electronic data to plates without the use of film.
- 6. Enter, store, and retrieve information on computer-aided equipment.
- 7. Operate presses to print proofs of plates, monitoring printing quality to ensure that it is adequate.
- 8. Select proper types of plates according to press run lengths.
- 9. Examine finished plates to detect flaws, verify conformity with master plates, and measure dot sizes and centers, using light boxes and microscopes.
- 10. Examine unexposed photographic plates to detect flaws or foreign particles prior to printing.
Key Skills Required
- Active Listening
- Speaking
- Critical Thinking
- Monitoring
- Time Management
- Reading Comprehension
- Coordination
- Complex Problem Solving
- Operations Monitoring
- Judgment and Decision Making
Knowledge Areas
- Computers and Electronics
- English Language
- Design
- Mathematics
- Production and Processing
- Customer and Personal Service
- Administrative
- Communications and Media
- Administration and Management
- Education and Training
Frequently Asked Questions
Will AI replace Prepress technicians and workers?
Prepress technicians and workers has an AI exposure score of 57%, 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 Prepress technicians and workers?
According to BLS Employment Projections 2024-2034, Prepress technicians and workers is projected to decline by 14.6% over the decade. Current employment stands at approximately 26,200 workers.
What skills are needed for Prepress technicians and workers?
Key skills for Prepress technicians and workers include Active Listening, Speaking, Critical Thinking, and others. Typical entry-level education is Postsecondary nondegree award.
How much do Prepress technicians and workers earn?
The median annual wage for Prepress technicians and workers is $47,300, 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 Prepress technicians and workers?
The typical entry-level education for Prepress technicians and workers is Postsecondary nondegree award. Employers generally expect None of related work experience. On-the-job training typically involves None. Requirements can vary by employer and specialization.
Which companies employ Prepress technicians and workers?
Prepress technicians and workers 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
High automation risk based on 10 analyzed tasks. A moderate share of tasks may be augmented by AI tools.
Nationwide occupations with similar workforce profiles
Two data-derived peer sets for Prepress technicians and workers: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).
Similar AI exposure score
Nearest O*NET task-automability scores nationwide (57% here).
- Industrial production managers · AI exposure 57%
- New accounts clerks · AI exposure 57%
- Opticians, dispensing · AI exposure 57%
- Air traffic controllers · AI exposure 56%
Similar projected growth (2024–2034)
Nearest BLS employment change rates nationwide (-14.6% here).
- Aircraft structure, surfaces, rigging, and systems assemblers · growth -14.5%
- Milling and planing machine setters, operators, and tenders, metal and plastic · growth -14.4%
- Office machine operators, except computer · growth -15.2%
- Adult basic education, adult secondary education, and english as a second language instructors · growth -13.7%
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 19 occupations with a comparable automation-risk profile.
What to do with this
Use Prepress technicians and workers' numbers above to compare, not just read in isolation.
- Compare Prepress technicians and workers 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).