75
/100

SOC 51-5113

Print Binding and Finishing Workers

High RiskFrey/Osborne: 95.0%

Risk Score

โš ๏ธ

75/100

High Risk

US Employment

๐Ÿ‘ฅ

36,470

Total workers

Median Wage

๐Ÿ’ฐ

$40K

$31K โ€“ $58K

Projected Growth

๐Ÿ“ˆ

-16.1%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

42/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Print Binding and Finishing Workers face a risk score of 75/100 โ€” 31 points above the national average of 44. With only 42/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. 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 75/100, Print Binding and Finishing Workers faces significant automation pressure. Key threats include ai quality inspection via computer vision systems and predictive maintenance reducing manual inspection roles. The 36,470 Americans in this role should actively develop skills in quality judgment requiring tactile and visual inspection and troubleshooting complex equipment malfunctions to remain competitive. Workers who proactively adapt will find new opportunities even as traditional tasks are automated.

Will AI Replace Print Binding and Finishing Workers?

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

Predictive maintenance reducing manual inspection roles

3

Automated CNC programming and machine operation

4

Smart factory scheduling and production optimization

5

Industrial robotics replacing manual assembly tasks

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Quality judgment requiring tactile and visual inspection

โœ“

Troubleshooting complex equipment malfunctions

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

Examine stitched, collated, bound, or unbound product samples for defects, such as imperfect bindings, ink spots, torn pages, loose pages, or loose or uncut threads.

โ€ข

Read work orders to determine instructions and specifications for machine set-up.

โ€ข

Install or adjust bindery machine devices, such as knives, guides, rollers, rounding forms, creasing rams, or clamps, to accommodate sheets, signatures, or books of specified sizes.

โ€ข

Trim edges of books to size, using cutting machines, book trimming machines, or hand cutters.

โ€ข

Stitch or glue endpapers, bindings, backings, or signatures, using sewing machines, glue machines, or glue and brushes.

๐Ÿ’ป Technology Skills

โ€ข

Electronic mail software

โ€ข

Library software

โ€ข

Label making software

โ€ข

Spreadsheet software

โ€ข

Office suite software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Administration and Management

โ€ข

Production and Processing

โ€ข

Mechanical

โ€ข

Customer and Personal Service

โ€ข

Mathematics

๐Ÿ“Š vs National Average

Median Wage$40K
$-6K

National avg: $46K

Risk Score75/100
+31

National avg: 44/100

GenAI Exposure42/100
+4

National avg: 38/100

Projected Growth-16.1%
-19.8%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K55%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K65%
Fabric and Apparel Patternmakers33$68K84%