High AI Risk Declining

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.

AI Exposure Score
57% High

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

Projected Growth
-14.6%
2024–2034 (BLS)
-3,800 jobs
Median Annual Wage
$47,300
BLS May 2024
How wage figures are sourced →
The verdict

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.

57%
AI exposure
Top 7%
most exposed
-14.6%
Job growth 2024–34
$47,300
Median wage

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.

AI exposure distribution - Prepress technicians and workers 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 7% by AI exposure Higher AI exposure than 93% of all 832 occupations.

Prepress technicians and workers has ai exposure of 57%. 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.

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.

Future-proofGrowing but exposedStable, lower-AIMost at risk27.6%35.3%43%50.7%58.4%-15.6%-10.1%-4.5%1.1%6.6%AI exposure (%) →Projected growth (%) →Prepress techniciansMiscellaneous assembFirst-line supervisoInspectorsWeldersPackagingMachinistsProduction workersElectricalBakersLaundryComputer numerically

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

Employment Projections

26,200
Employment 2024
22,300
Projected 2034
-14.6%
Change (%)
-3,800
Change (jobs)

Occupation Insight

Prepress technicians and workers (SOC 51-5111) carries an AI exposure score of 57%, 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 26,200 workers in this occupation in 2024, and projects a -14.6% change through 2034 - a decline that often compounds with high AI exposure to create displacement headwinds. Median annual compensation stands at $47,300, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires Postsecondary nondegree award, 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 Prepress technicians and workers. 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
Postsecondary nondegree award
Work Experience
None
On-the-Job Training
None

Top Tasks (O*NET)

  1. 1. Generate prepress proofs in digital or other format to approximate the appearance of the final printed piece.
  2. 2. Proofread and perform quality control of text and images.
  3. 3. Enter, position, and alter text size, using computers, to make up and arrange pages so that printed materials can be produced.
  4. 4. Perform "preflight" check of required font, graphic, text and image files to ensure completeness prior to delivery to printer.
  5. 5. Operate and maintain laser plate-making equipment that converts electronic data to plates without the use of film.
  6. 6. Enter, store, and retrieve information on computer-aided equipment.
  7. 7. Operate presses to print proofs of plates, monitoring printing quality to ensure that it is adequate.
  8. 8. Select proper types of plates according to press run lengths.
  9. 9. Examine finished plates to detect flaws, verify conformity with master plates, and measure dot sizes and centers, using light boxes and microscopes.
  10. 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

2.9
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.