65
/100

SOC 43-5053

Postal Service Mail Sorters, Processors, and Processing Machine Operators

High RiskFrey/Osborne: 79.0%

Risk Score

โš ๏ธ

65/100

High Risk

US Employment

๐Ÿ‘ฅ

111,930

Total workers

Median Wage

๐Ÿ’ฐ

$57K

$43K โ€“ $74K

Projected Growth

๐Ÿ“ˆ

-8.4%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

53/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Postal Service Mail Sorters, Processors, and Processing Machine Operators face a risk score of 65/100 โ€” 21 points above the national average of 44. With 53/100 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 $57K ($10K 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 65/100, Postal Service Mail Sorters, Processors, and Processing Machine Operators faces moderate automation pressure. While tasks like ai-powered email triage and response drafting are increasingly handled by AI, the role retains significant human elements. The 111,930 workers in this occupation should focus on strengthening skills in handling confidential and politically sensitive information and building trust-based relationships with executives to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Postal Service Mail Sorters, Processors, 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-powered email triage and response drafting

2

Automated invoice and expense processing

3

Intelligent document processing and OCR automation

4

Robotic process automation of data entry workflows

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Handling confidential and politically sensitive information

โœ“

Building trust-based relationships with executives

โœ“

Coordinating complex multi-party events and logistics

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

Clear jams in sorting equipment.

โ€ข

Operate various types of equipment, such as computer scanning equipment, addressographs, mimeographs, optical character readers, and bar-code sorters.

โ€ข

Sort odd-sized mail by hand, sort mail that other workers have been unable to sort, and segregate items requiring special handling.

โ€ข

Direct items according to established routing schemes, using computer-controlled keyboards or voice-recognition equipment.

โ€ข

Check items to ensure that addresses are legible and correct, that sufficient postage has been paid or the appropriate documentation is attached, and that items are in a suitable condition for processing.

๐Ÿ’ป Technology Skills

โ€ข

Data base user interface and query software

โ€ข

Inventory management software

โ€ข

Bar coding software

โ€ข

Enterprise resource planning ERP software

โ€ข

Map creation software

๐ŸŽ“ Key Knowledge Areas

โ€ข

English Language

โ€ข

Production and Processing

โ€ข

Customer and Personal Service

โ€ข

Administrative

โ€ข

Administration and Management

๐Ÿ“Š vs National Average

Median Wage$57K
+$10K

National avg: $46K

Risk Score65/100
+21

National avg: 44/100

GenAI Exposure53/100
+15

National avg: 38/100

Projected Growth-8.4%
-12.1%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Supervisors of Office and Administrative Support Workers23$66K84%
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K63%
Lawyers, Judges, and Related Workers17$144K61%