AI exposure by occupation, O*NET 51-9151.00

Will AI replace Photographic Process Workers and Processing Machine Operators?

Photographic Process Workers and Processing Machine Operators: AI can already handle 2 of 27 tasks; most of the work is hands-on, and the part AI can address mostly needs a standard-tier model.

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Every task, scored

The 27 tasks O*NET 30.3 lists for Photographic Process Workers and Processing Machine Operators, from most to least exposed. 2 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Operate scanners or related computer equipment to digitize negatives, photographic prints, or other images. 90 Estimated Frontier 4.4
Review computer-processed digital images for quality. 65 Estimated Standard 4.4
Fill tanks of processing machines with solutions such as developer, dyes, stop-baths, fixers, bleaches, or washes. 50 Estimated Efficient 4.3
Examine developed prints for defects, such as broken lines, spots, or blurs. 50 Estimated Standard 4.2
Immerse film, negatives, paper, or prints in developing solutions, fixing solutions, and water to complete photographic development processes. 50 Estimated Efficient 4.0
Clean or maintain photoprocessing or darkroom equipment, using ultrasonic equipment or cleaning and rinsing solutions. 20 Estimated Efficient 3.9
Maintain records, such as quantities or types of processing completed, materials used, or customer charges. 20 Estimated Efficient 3.6
Select digital images for printing, specify number of images to be printed, and direct to printer, using computer software. 15 Estimated No tier 4.7
Create prints according to customer specifications and laboratory protocols. 15 Estimated No tier 4.5
Produce color or black-and-white photographs, negatives, or slides, applying standard photographic reproduction techniques and procedures. 15 Estimated No tier 4.5
Set or adjust machine controls, according to specifications, type of operation, or material requirements. 15 Estimated No tier 4.4
Measure and mix chemicals to prepare solutions for processing, according to formulas. 15 Estimated No tier 4.3
Load digital images onto computers directly from cameras or from storage devices, such as flash memory cards or universal serial bus (USB) devices. 15 Estimated No tier 4.2
Operate special equipment to perform tasks such as transferring film to videotape or producing photographic enlargements. 15 Estimated No tier 4.2
Read work orders to determine required processes, techniques, materials, or equipment. 15 Estimated No tier 4.1
Load circuit boards, racks or rolls of film, negatives, or printing paper into processing or printing machines. 15 Estimated No tier 4.0
Insert processed negatives and prints into envelopes for delivery to customers. 15 Estimated No tier 3.9
Examine quality of film fades or dissolves for potential color corrections, using color analyzers. 15 Estimated No tier 3.9
Reprint originals for enlargement or in sections to be pieced together. 15 Estimated No tier 3.9
Thread filmstrips through densitometers or sensitometers and expose film to light to determine density of film, necessary color corrections, or light sensitivity. 15 Estimated No tier 3.9
Monitor equipment operation to detect malfunctions. 15 Estimated No tier 3.9
Examine drawings, negatives, or photographic prints to determine coloring, shading, accenting, or other changes required for retouching or restoration. 15 Estimated No tier 3.8
Place sensitized paper in frames of projection printers, photostats, or other reproduction machines. 15 Estimated No tier 3.7
Upload digital images onto Web sites for customers. 15 Estimated No tier 3.6
Produce timed prints with separate densities or color settings for each scene of a production. 15 Estimated No tier 3.5
Splice broken or separated film and mount film on reels. 15 Estimated No tier 3.1
Retouch photographic negatives or original prints to correct defects. 15 Estimated No tier 3.0

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 27 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 27 of 27. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A standard-tier model or lower covers 23% of the role's importance-weighted task work. 27% of the work is something AI can address at some tier, and 73% is hands-on.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
4,800
Median annual wage
$40,610
Middle half of earners
$35,170 to $50,150
Projected change, 2024 to 2034
-2.6%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Photographic Process Workers and Processing Machine Operators and AI

Will AI replace Photographic Process Workers and Processing Machine Operators?

AI already handles 2 of the 27 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 25 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by -2.6% from 2024 to 2034.

What is the AI exposure of Photographic Process Workers and Processing Machine Operators?

25 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 27 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 27 are estimated from each task's O*NET work activity.

Which Photographic Process Workers and Processing Machine Operators tasks can AI already do?

The tasks with the highest exposure are: Operate scanners or related computer equipment to digitize negatives, photographic prints, or other images; Review computer-processed digital images for quality. They are the tasks that reach 60 or more.

What AI model tier does this role need?

A standard-tier model or lower covers 23% of the role's importance-weighted task work, and 73% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Photographic Process Workers and Processing Machine Operators, and what do they earn?

4,800 people in the United States, with a median annual wage of $40,610 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of -2.6% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Photographic Process Workers and Processing Machine Operators. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/photographic-process-workers-and-processing-machine-operators

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