67
/100

SOC 43-5061

Production, Planning, and Expediting Clerks

High RiskFrey/Osborne: 88.0%

Risk Score

โš ๏ธ

67/100

High Risk

US Employment

๐Ÿ‘ฅ

385,000

Total workers

Median Wage

๐Ÿ’ฐ

$58K

$39K โ€“ $85K

Projected Growth

๐Ÿ“ˆ

-1.8%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

75/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Production, Planning, and Expediting Clerks face a risk score of 67/100 โ€” 23 points above the national average of 44. With 75/100 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 $58K ($11K above the national median). 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 67/100, Production, Planning, and Expediting Clerks faces moderate automation pressure. While tasks like intelligent document processing and ocr automation are increasingly handled by AI, the role retains significant human elements. The 385,000 workers in this occupation should focus on strengthening skills in building trust-based relationships with executives and coordinating complex multi-party events and logistics to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Production, Planning, and Expediting Clerks?

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

โš ๏ธ Top Risk Factors

1

Intelligent document processing and OCR automation

2

AI summarization replacing manual report compilation

3

Generative AI producing marketing and creative copy

4

AI scheduling and calendar management assistants

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Building trust-based relationships with executives

โœ“

Coordinating complex multi-party events and logistics

โœ“

Exercising discretion in ambiguous administrative decisions

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

Distribute production schedules or work orders to departments.

โ€ข

Revise production schedules when required due to design changes, labor or material shortages, backlogs, or other interruptions, collaborating with management, marketing, sales, production, or engineering.

โ€ข

Review documents, such as production schedules, work orders, or staffing tables, to determine personnel or materials requirements or material priorities.

โ€ข

Arrange for delivery, assembly, or distribution of supplies or parts to expedite flow of materials and meet production schedules.

โ€ข

Confer with establishment personnel, vendors, or customers to coordinate production or shipping activities and to resolve complaints or eliminate delays.

๐Ÿ’ป Technology Skills

โ€ข

Materials requirements planning logistics and supply chain software

โ€ข

Inventory management software

โ€ข

Document management software

โ€ข

Graphics or photo imaging software

โ€ข

Desktop publishing software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Production and Processing

โ€ข

Customer and Personal Service

โ€ข

English Language

โ€ข

Administrative

โ€ข

Administration and Management

๐Ÿ“Š vs National Average

Median Wage$58K
+$11K

National avg: $46K

Risk Score67/100
+23

National avg: 44/100

GenAI Exposure75/100
+37

National avg: 38/100

Projected Growth-1.8%
-5.5%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Supervisors of Office and Administrative Support Workers23$66K73%
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K67%
Lawyers, Judges, and Related Workers17$144K65%