Photographic process workers and processing machine operators
SOC Code: 51-9151
Photographic process workers and processing machine operators carries a 45% AI exposure score (High automation risk), with a median annual wage of $40,100 and -2.6% projected employment growth from 2024 to 2034 (BLS), affecting approximately 11,200 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
AI Exposure vs Industry Growth
Total occupations tracked
832
Covering all SOC major groups
Data currency
2024
BLS Employment Projections
AI exposure avg
40%
Fleet-wide median across all roles
Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.
Employment Projections
Occupation Insight
Photographic process workers and processing machine operators (SOC 51-9151) carries an AI exposure score of 45%, 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 11,200 workers in this occupation in 2024, and projects a -2.6% change through 2034 — a decline that often compounds with high AI exposure to create displacement headwinds. Median annual compensation stands at $40,100, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires High school diploma or equivalent, 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 Photographic process workers and processing machine operators. 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
Top Tasks (O*NET)
- 1. Select digital images for printing, specify number of images to be printed, and direct to printer, using computer software.
- 2. Create prints according to customer specifications and laboratory protocols.
- 3. Produce color or black-and-white photographs, negatives, or slides, applying standard photographic reproduction techniques and procedures.
- 4. Set or adjust machine controls, according to specifications, type of operation, or material requirements.
- 5. Review computer-processed digital images for quality.
- 6. Operate scanners or related computer equipment to digitize negatives, photographic prints, or other images.
- 7. Fill tanks of processing machines with solutions such as developer, dyes, stop-baths, fixers, bleaches, or washes.
- 8. Measure and mix chemicals to prepare solutions for processing, according to formulas.
- 9. Load digital images onto computers directly from cameras or from storage devices, such as flash memory cards or universal serial bus (USB) devices.
- 10. Operate special equipment to perform tasks such as transferring film to videotape or producing photographic enlargements.
Key Skills Required
- Operations Monitoring
- Active Listening
- Quality Control Analysis
- Reading Comprehension
- Speaking
- Service Orientation
- Critical Thinking
- Monitoring
- Complex Problem Solving
- Operation and Control
Knowledge Areas
- Customer and Personal Service
- Computers and Electronics
- Production and Processing
- English Language
- Mechanical
- Chemistry
- Sales and Marketing
- Education and Training
- Mathematics
- Law and Government
Frequently Asked Questions
Will AI replace Photographic process workers and processing machine operators?
Photographic process workers and processing machine operators has an AI exposure score of 45%, 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 Photographic process workers and processing machine operators?
According to BLS Employment Projections 2024-2034, Photographic process workers and processing machine operators is projected to decline by 2.6% over the decade. Current employment stands at approximately 11,200 workers.
What skills are needed for Photographic process workers and processing machine operators?
Key skills for Photographic process workers and processing machine operators include Operations Monitoring, Active Listening, Quality Control Analysis, and others. Typical entry-level education is High school diploma or equivalent.
How much do Photographic process workers and processing machine operators earn?
The median annual wage for Photographic process workers and processing machine operators is $40,100, 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 Photographic process workers and processing machine operators?
The typical entry-level education for Photographic process workers and processing machine operators is High school diploma or equivalent. 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 Photographic process workers and processing machine operators?
Photographic process workers and processing machine operators 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.
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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).