72
/100

SOC 43-9051

Mail Clerks and Mail Machine Operators, Except Postal Service

High RiskFrey/Osborne: 94.0%

Risk Score

โš ๏ธ

72/100

High Risk

US Employment

๐Ÿ‘ฅ

62,730

Total workers

Median Wage

๐Ÿ’ฐ

$38K

$29K โ€“ $52K

Projected Growth

๐Ÿ“ˆ

-6.6%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

61/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Mail Clerks and Mail Machine Operators, Except Postal Service face a risk score of 72/100 โ€” 28 points above the national average of 44. With 61/100 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 $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 72/100, Mail Clerks and Mail Machine Operators, Except Postal Service faces significant automation pressure. Key threats include robotic process automation of data entry workflows and ai-generated written content replacing manual drafting. The 62,730 Americans in this role should actively develop skills in handling confidential and politically sensitive information and building trust-based relationships with executives to remain competitive. Workers who proactively adapt will find new opportunities even as traditional tasks are automated.

Will AI Replace Mail Clerks and Mail Machine Operators, Except Postal Service?

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

โš ๏ธ Top Risk Factors

1

Robotic process automation of data entry workflows

2

AI-generated written content replacing manual drafting

3

AI coding assistants reducing developer demand

4

Generative AI producing marketing and creative copy

5

Automated invoice and expense processing

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Handling confidential and politically sensitive information

โœ“

Building trust-based relationships with executives

โœ“

Managing sensitive interpersonal workplace situations

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

Wrap packages or bundles by hand, or by using tying machines.

โ€ข

Verify that items are addressed correctly, marked with the proper postage, and in suitable condition for processing.

โ€ข

Remove containers of sorted mail or parcels and transfer them to designated areas according to established procedures.

โ€ข

Sort and route incoming mail, and collect outgoing mail, using carts as necessary.

โ€ข

Affix postage to packages or letters by hand, or stamp materials, using postage meters.

๐Ÿ’ป Technology Skills

โ€ข

Document management software

โ€ข

Electronic mail software

โ€ข

Accounting software

โ€ข

Data base user interface and query software

โ€ข

Spreadsheet software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

English Language

โ€ข

Mathematics

โ€ข

Law and Government

โ€ข

Education and Training

๐Ÿ“Š vs National Average

Median Wage$38K
$-8K

National avg: $46K

Risk Score72/100
+28

National avg: 44/100

GenAI Exposure61/100
+23

National avg: 38/100

Projected Growth-6.6%
-10.3%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Supervisors of Office and Administrative Support Workers23$66K83%
Education Administrators, All Other21$89K67%
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K62%