76
/100

SOC 43-9041

Insurance Claims and Policy Processing Clerks

High RiskFrey/Osborne: 98.0%

Risk Score

โš ๏ธ

76/100

High Risk

US Employment

๐Ÿ‘ฅ

229,070

Total workers

Median Wage

๐Ÿ’ฐ

$48K

$37K โ€“ $73K

Projected Growth

๐Ÿ“ˆ

-3.7%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

86/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Insurance Claims and Policy Processing Clerks face a risk score of 76/100 โ€” 32 points above the national average of 44. With 86/100 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 $48K ($2K 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 76/100, Insurance Claims and Policy Processing Clerks faces significant automation pressure. Key threats include robotic process automation of data entry workflows and ai-generated written content replacing manual drafting. The 229,070 Americans in this role should actively develop skills in exercising discretion in ambiguous administrative decisions and coordinating complex multi-party events and logistics to remain competitive. Workers who proactively adapt will find new opportunities even as traditional tasks are automated.

Will AI Replace Insurance Claims and Policy Processing Clerks?

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

Chatbot displacement of customer-facing interactions

4

Smart form extraction replacing manual data processing

5

Generative AI producing marketing and creative copy

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Exercising discretion in ambiguous administrative decisions

โœ“

Coordinating complex multi-party events and logistics

โœ“

Handling confidential and politically sensitive information

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

Prepare insurance claim forms or related documents, and review them for completeness.

โ€ข

Calculate amount of claim.

โ€ข

Post or attach information to claim file.

โ€ข

Transmit claims for payment or further investigation.

โ€ข

Contact insured or other involved persons to obtain missing information.

๐Ÿ’ป Technology Skills

โ€ข

Accounting software

โ€ข

Data base user interface and query software

โ€ข

Instant messaging software

โ€ข

Medical software

โ€ข

Electronic mail software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

Administrative

โ€ข

English Language

โ€ข

Computers and Electronics

โ€ข

Mathematics

๐Ÿ“Š vs National Average

Median Wage$48K
+$2K

National avg: $46K

Risk Score76/100
+32

National avg: 44/100

GenAI Exposure86/100
+48

National avg: 38/100

Projected Growth-3.7%
-7.4%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Supervisors of Office and Administrative Support Workers23$66K76%
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K65%
Lawyers, Judges, and Related Workers17$144K63%