Community Sentiment
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Do you agree with the AI automation risk score calculated for this occupation?
AI Automation Index
Will AI Replace Prepress Technicians and Workers?
Task-level automation exposure for Prepress Technicians and Workers: 15 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
33%
weighted task index
15 of 15 tasks scored
Median Salary
$48,690 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Low
23,840 people hold this job — size, not growth
Projected 2025–35
-15.3%
employment change
2,100 openings a year · BLS line item
Pay by state
BLS OEWS publishes 46 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$33,030 – $100,980
Highest medians
District of Columbia $100,980
Maryland $60,770
Massachusetts $57,250
New Jersey $56,840
Vermont $55,880
Lowest medians
Puerto Rico $33,030
Alabama $35,020
West Virginia $35,320
Louisiana $38,060
Texas $38,410
State figures come from the 51-5111 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 33%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 43%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 6%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 0%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 13/100
Low
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
15 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 0%
0 tasks
Medium exposure (≥ 35%) 42%
6 tasks
Low exposure (below 35%) 58%
9 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Emerging & rewritten tasks
Tasks O*NET added or rewrote for this occupation in its recent updates (05/2025 – 08/2026), with who proposed them. Additions are not in the scored task inventory — they are new work O*NET is still measuring, so they appear here and nowhere in the index. A Revision replaces a task that is scored, which is why only those move the "Rewritten by O*NET" share.
- New 07/2016 · Incumbent
Correct color in photographs or digital images.
Constituent Tasks
#20927 · Core · 15% automatable
Generate prepress proofs in digital or other format to approximate the appearance of the final printed piece.
physical manipulation — Developing and print equipment operated by hand
Operate photographic developing or print production equipment.
#20928 · Core · 55% automatable
Proofread and perform quality control of text and images.
visual inspection — AI vision can flag print defects; human verifies
Inspected printed materials or other images to verify quality.
#10403 · Core · 55% automatable
Enter, position, and alter text size, using computers, to make up and arrange pages so that printed materials can be produced.
physical manipulation — Command entry often needs physical equipment interface
Enter commands, instructions, or specifications into equipment. Program equipment to perform production tasks.
#20929 · Core · 15% automatable
Perform "preflight" check of required font, graphic, text and image files to ensure completeness prior to delivery to printer.
physical manipulation — Developing and print equipment operated by hand
Operate photographic developing or print production equipment.
#10405 · Core · 13% automatable
Operate and maintain laser plate-making equipment that converts electronic data to plates without the use of film.
physical manipulation — Developing and print equipment operated by hand
Operate photographic developing or print production equipment. Maintain production or processing equipment.
#10402 · Core · 55% automatable
Enter, store, and retrieve information on computer-aided equipment.
physical manipulation — Command entry often needs physical equipment interface
Enter commands, instructions, or specifications into equipment.
#10404 · Core · 8% automatable
Maintain, adjust, and clean equipment, and perform minor repairs.
physical manipulation — Hands-on repair of production machinery
Clean production equipment. Repair production equipment or tools. Maintain production or processing equipment.
#10407 · Supplemental · 20% automatable
Operate presses to print proofs of plates, monitoring printing quality to ensure that it is adequate.
visual inspection — Physical product flaw monitoring is on-machine
Monitor equipment operation to ensure that products are not flawed. Operate photographic developing or print production equipment.
#10425 · Supplemental · 55% automatable
Select proper types of plates according to press run lengths.
decision support — Equipment selection against specs; human verifies fit
Select production equipment according to product specifications.
#10412 · Supplemental · 28% automatable
Examine finished plates to detect flaws, verify conformity with master plates, and measure dot sizes and centers, using light boxes and microscopes.
physical manipulation — Hands-on dimensional measurement of workpieces
Measure dimensions of completed products or workpieces to verify conformance to specifications.
#10410 · Supplemental · 22% automatable
Examine unexposed photographic plates to detect flaws or foreign particles prior to printing.
visual inspection — Property condition assessment requires physical presence
Examine condition of property or products.
#10406 · Supplemental · 55% automatable
Examine photographic images for obvious imperfections prior to plate making.
visual inspection — AI vision can flag print defects; human verifies
Inspected printed materials or other images to verify quality.
#10433 · Supplemental · 15% automatable
Scale copy for reductions and enlargements, using proportion wheels.
physical manipulation — Developing and print equipment operated by hand
Operate photographic developing or print production equipment.
#10427 · Supplemental · 55% automatable
Analyze originals to evaluate color density, gradation highlights, middle tones, and shadows, using densitometers and knowledge of light and color.
visual inspection — AI vision can flag print defects; human verifies
Inspected printed materials or other images to verify quality.
#10428 · Supplemental · 20% automatable
Set scanners to specific color densities, sizes, screen rulings, and exposure adjustments, using scanner keyboards or computers.
physical manipulation — Digital imaging equipment needs physical operation
Operate digital imaging equipment.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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