64
/100

SOC 51-9198

Helpers--Production Workers

High RiskFrey/Osborne: 66.0%

Risk Score

โš ๏ธ

64/100

High Risk

US Employment

๐Ÿ‘ฅ

167,490

Total workers

Median Wage

๐Ÿ’ฐ

$38K

$30K โ€“ $52K

Projected Growth

๐Ÿ“ˆ

-8.9%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

42/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Helpers--Production Workers face a risk score of 64/100 โ€” 20 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 $38K. 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 64/100, Helpers--Production Workers faces moderate automation pressure. While tasks like industrial robotics replacing manual assembly tasks are increasingly handled by AI, the role retains significant human elements. The 167,490 workers in this occupation should focus on strengthening skills in coordinating workflow across diverse production teams and setup and calibration of custom production runs to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Helpers--Production Workers?

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

โš ๏ธ Top Risk Factors

1

Industrial robotics replacing manual assembly tasks

2

Predictive maintenance reducing manual inspection roles

3

Smart factory scheduling and production optimization

4

AI quality inspection via computer vision systems

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Coordinating workflow across diverse production teams

โœ“

Setup and calibration of custom production runs

โœ“

Handling non-standard materials and configurations

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

Load and unload items from machines, conveyors, and conveyances.

โ€ข

Operate machinery used in the production process, or assist machine operators.

โ€ข

Place products in equipment or on work surfaces for further processing, inspecting, or wrapping.

โ€ข

Examine products to verify conformance to quality standards.

โ€ข

Start machines or equipment to begin production processes.

๐Ÿ’ป Technology Skills

โ€ข

Document management software

โ€ข

Desktop publishing software

โ€ข

Graphics or photo imaging software

โ€ข

Computer aided design CAD software

โ€ข

Enterprise resource planning ERP software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

Production and Processing

โ€ข

Mathematics

โ€ข

English Language

โ€ข

Public Safety and Security

๐Ÿ“Š vs National Average

Median Wage$38K
$-8K

National avg: $46K

Risk Score64/100
+20

National avg: 44/100

GenAI Exposure42/100
+4

National avg: 38/100

Projected Growth-8.9%
-12.6%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K53%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K63%
Fabric and Apparel Patternmakers33$68K77%