Headline risk
33%
High RiskPrepress technicians and workers
United States AI Work Index tracks this occupation on the shared structural baseline and then layers on local demand resilience, wages, and confidence.
Why This Score
Share of job tasks that overlap with current AI capabilities
Median annual wage
Projected employment change over 10 years
Typical preparation needed for this occupation
Occupation profile
Format and proof text and images submitted by designers and clients into finished pages that can be printed. Includes digital and photo typesetting. May produce printing plates.
Task evidence
100% weighted task match · 11% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 47,300
Employment 2024
26.2K
Projected Change (2024–34)
-14.6%
Openings (2024–34)
2.8K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Generate prepress proofs in digital or other format to approximate the appearance of the final printed piece. AI use: 0%
- 2. Proofread and perform quality control of text and images. AI use: 0%
- 3. Enter, store, and retrieve information on computer-aided equipment. AI use: 0%
- 4. Enter, position, and alter text size, using computers, to make up and arrange pages so that printed materials can be produced. AI use: 90%
- 5. Perform "preflight" check of required font, graphic, text and image files to ensure completeness prior to delivery to printer. AI use: 0%
- 6. Operate and maintain laser plate-making equipment that converts electronic data to plates without the use of film. AI use: 0%
Technologies
Requirements
Work context
Worker profile
Median age 41.7 · 1.1M employed
Under 25: 16% · 25–54: 60% · 55+: 24%
Related
No direct US role match is available yet for this occupation.
Source coverage
11/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Mapping quality
crosswalk_exact · employment series present
Narrative & sources
Published limitations
This page shows the local country layer, not realised individual job outcomes. The global structural baseline is shared across countries; only the local demand and wage layer changes here.
Built from O*NET occupation descriptions, task statements, technology skills, work context, Job Zones, Anthropic task penetration, BLS OEWS wages, BLS projection tables, BLS ORS requirements, BLS OOH narrative content, BLS skills data, and BLS CPS occupation age tables.