70
/100

SOC 43-3021

Billing and Posting Clerks

High RiskFrey/Osborne: 96.0%

Risk Score

โš ๏ธ

70/100

High Risk

US Employment

๐Ÿ‘ฅ

417,500

Total workers

Median Wage

๐Ÿ’ฐ

$47K

$36K โ€“ $65K

Projected Growth

๐Ÿ“ˆ

-0.4%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

75/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Billing and Posting Clerks face a risk score of 70/100 โ€” 26 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 $47K ($860 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 70/100, Billing and Posting Clerks faces significant automation pressure. Key threats include ai-generated written content replacing manual drafting and automated invoice and expense processing. The 417,500 Americans in this role should actively develop skills in coordinating complex multi-party events and logistics and managing sensitive interpersonal workplace situations to remain competitive. Workers who proactively adapt will find new opportunities even as traditional tasks are automated.

Will AI Replace Billing and Posting Clerks?

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

โš ๏ธ Top Risk Factors

1

AI-generated written content replacing manual drafting

2

Automated invoice and expense processing

3

Generative AI producing marketing and creative copy

4

Large language model automation of analysis tasks

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Coordinating complex multi-party events and logistics

โœ“

Managing sensitive interpersonal workplace situations

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

Verify accuracy of billing data and revise any errors.

โ€ข

Resolve discrepancies in accounting records.

โ€ข

Prepare itemized statements, bills, or invoices and record amounts due for items purchased or services rendered.

โ€ข

Operate typing, adding, calculating, or billing machines.

โ€ข

Post stop-payment notices to prevent payment of protested checks.

๐Ÿ’ป Technology Skills

โ€ข

Accounting software

โ€ข

Financial analysis software

โ€ข

Expert system software

โ€ข

Graphics or photo imaging software

โ€ข

Document management software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Administrative

โ€ข

Customer and Personal Service

โ€ข

English Language

โ€ข

Economics and Accounting

โ€ข

Mathematics

๐Ÿ“Š vs National Average

Median Wage$47K
+$860

National avg: $46K

Risk Score70/100
+26

National avg: 44/100

GenAI Exposure75/100
+37

National avg: 38/100

Projected Growth-0.4%
-4.1%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Supervisors of Office and Administrative Support Workers23$66K79%
Education Administrators, All Other21$89K63%
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K58%