80
/100

SOC 43-4041

Credit Authorizers, Checkers, and Clerks

High RiskFrey/Osborne: 97.0%

Risk Score

โš ๏ธ

80/100

High Risk

US Employment

๐Ÿ‘ฅ

11,960

Total workers

Median Wage

๐Ÿ’ฐ

$49K

$35K โ€“ $72K

Projected Growth

๐Ÿ“ˆ

-6.2%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

95/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Credit Authorizers, Checkers, and Clerks face a risk score of 80/100 โ€” 36 points above the national average of 44. With 95/100 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 $49K ($3K 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 80/100, Credit Authorizers, Checkers, and Clerks faces significant automation pressure. Key threats include robotic process automation of data entry workflows and ai scheduling and calendar management assistants. The 11,960 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 Credit Authorizers, Checkers, and 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 scheduling and calendar management assistants

3

Smart form extraction replacing manual data processing

4

Large language model automation of analysis tasks

5

Automated data interpretation and insight generation

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

Keep records of customers' charges and payments.

โ€ข

Compile and analyze credit information gathered by investigation.

โ€ข

Obtain information about potential creditors from banks, credit bureaus, and other credit services, and provide reciprocal information if requested.

โ€ข

Interview credit applicants by telephone or in person to obtain personal and financial data needed to complete credit report.

โ€ข

Evaluate customers' computerized credit records and payment histories to decide whether to approve new credit, based on predetermined standards.

๐Ÿ’ป Technology Skills

โ€ข

Accounting software

โ€ข

Electronic mail software

โ€ข

Financial analysis 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

Administrative

๐Ÿ“Š vs National Average

Median Wage$49K
+$3K

National avg: $46K

Risk Score80/100
+36

National avg: 44/100

GenAI Exposure95/100
+57

National avg: 38/100

Projected Growth-6.2%
-9.9%

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$145K53%
Lawyers, Judges, and Related Workers17$144K51%