72
/100

SOC 51-9151

Photographic Process Workers and Processing Machine Operators

High RiskFrey/Osborne: 99.0%

Risk Score

โš ๏ธ

72/100

High Risk

US Employment

๐Ÿ‘ฅ

5,550

Total workers

Median Wage

๐Ÿ’ฐ

$40K

$31K โ€“ $69K

Projected Growth

๐Ÿ“ˆ

-2.6%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

67/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Photographic Process Workers and Processing Machine Operators face a risk score of 72/100 โ€” 28 points above the national average of 44. With 67/100 GenAI exposure, this occupation faces significant pressure from AI tools despite weak projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $40K. The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 72/100, Photographic Process Workers and Processing Machine Operators faces significant automation pressure. Key threats include ai quality inspection via computer vision systems and ai-generated written content replacing manual drafting. The 5,550 Americans in this role should actively develop skills in troubleshooting complex equipment malfunctions and quality judgment requiring tactile and visual inspection to remain competitive. Workers who proactively adapt will find new opportunities even as traditional tasks are automated.

Will AI Replace Photographic Process Workers and Processing Machine Operators?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

AI quality inspection via computer vision systems

2

AI-generated written content replacing manual drafting

3

Predictive maintenance reducing manual inspection roles

4

Generative AI producing marketing and creative copy

5

Smart factory scheduling and production optimization

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Troubleshooting complex equipment malfunctions

โœ“

Quality judgment requiring tactile and visual inspection

โœ“

Setup and calibration of custom production runs

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Select digital images for printing, specify number of images to be printed, and direct to printer, using computer software.

โ€ข

Create prints according to customer specifications and laboratory protocols.

โ€ข

Produce color or black-and-white photographs, negatives, or slides, applying standard photographic reproduction techniques and procedures.

โ€ข

Set or adjust machine controls, according to specifications, type of operation, or material requirements.

โ€ข

Review computer-processed digital images for quality.

๐Ÿ’ป Technology Skills

โ€ข

Graphics or photo imaging software

โ€ข

Desktop publishing software

โ€ข

Data base user interface and query software

โ€ข

Web platform development software

โ€ข

Application server software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

Computers and Electronics

โ€ข

Production and Processing

โ€ข

English Language

โ€ข

Mechanical

๐Ÿ“Š vs National Average

Median Wage$40K
$-6K

National avg: $46K

Risk Score72/100
+28

National avg: 44/100

GenAI Exposure67/100
+29

National avg: 38/100

Projected Growth-2.6%
-6.3%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K69%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K59%
Fabric and Apparel Patternmakers33$68K78%