High AI Risk Declining

Credit authorizers, checkers, and clerks

SOC Code: 43-4041

Credit authorizers, checkers, and clerks carries a 60% AI exposure score (High automation risk), with a median annual wage of $49,130 and -6.2% projected employment growth from 2024 to 2034 (BLS), affecting approximately 12,000 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
60% High

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
-6.2%
2024–2034 (BLS)
-700 jobs
Median Annual Wage
$49,130
BLS May 2024
How wage figures are sourced →
The verdict

At 60% AI exposure, Credit authorizers, checkers, and clerks sits 23 points above the 37.2% average across 832 U.S. occupations - more exposed than 94% of them. Most of its core tasks still require human judgment.

60%
AI exposure
Top 6%
most exposed
-6.2%
Job growth 2024–34
$49,130
Median wage

Where Credit authorizers, checkers, and clerks sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

AI exposure distribution - Credit authorizers, checkers, and clerks marked 1 occupations at 0–10% 1 0 43 occupations at 10–20% 43 10 184 occupations at 20–30% 184 20 332 occupations at 30–40% 332 30 158 occupations at 40–50% 158 40 64 occupations at 50–60% 64 50 29 occupations at 60–70% 29 60 15 occupations at 70–80% 15 70 5 occupations at 80–90% 5 80 1 occupations at 90–100% 1 90 AI exposure (%) →
Top 6% by AI exposure Higher AI exposure than 94% of all 832 occupations.

Credit authorizers, checkers, and clerks has ai exposure of 60%. Distribution: 1 occupations at 0-10%; 43 occupations at 10-20%; 184 occupations at 20-30%; 332 occupations at 30-40%; 158 occupations at 40-50%; 64 occupations at 50-60%; 29 occupations at 60-70%; 15 occupations at 70-80%; 5 occupations at 80-90%; 1 occupations at 90-100%.

Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.

Credit authorizers, checkers, and clerks vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Credit authorizers, checkers, and clerks is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk34.1%50.1%66%82.0%97.9%-8.3%-5.0%-1.8%1.5%4.8%AI exposure (%) →Projected growth (%) →Credit authorizersCustomer service repOffice clerksSecretariesBookkeepingFirst-line supervisoReceptionistsShippingMedical secretariesExecutive secretarieBillingProduction

Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).

Employment Projections

12,000
Employment 2024
11,300
Projected 2034
-6.2%
Change (%)
-700
Change (jobs)

Occupation Insight

Credit authorizers, checkers, and clerks (SOC 43-4041) carries an AI exposure score of 60%, placing it in the High automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score in the 40–70% range indicates meaningful automation pressure on specific task categories, but the role as a whole still requires human judgment for coordination, exception handling, or client interaction.

The economic context matters alongside the risk score. BLS counted approximately 12,000 workers in this occupation in 2024, and projects a -6.2% change through 2034 - a decline that often compounds with high AI exposure to create displacement headwinds. Median annual compensation stands at $49,130, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires High school diploma or equivalent, plus None of related experience.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Credit authorizers, checkers, and clerks. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.

Education & Entry Requirements

Typical Education
High school diploma or equivalent
Work Experience
None
On-the-Job Training
Moderate-term on-the-job training

Top Tasks (O*NET)

  1. 1. Evaluate customers' computerized credit records and payment histories to decide whether to approve new credit, based on predetermined standards.
  2. 2. Keep records of customers' charges and payments.
  3. 3. Compile and analyze credit information gathered by investigation.
  4. 4. File sales slips in customers' ledgers for billing purposes.
  5. 5. Obtain information about potential creditors from banks, credit bureaus, and other credit services, and provide reciprocal information if requested.
  6. 6. Interview credit applicants by telephone or in person to obtain personal and financial data needed to complete credit report.
  7. 7. Receive charge slips or credit applications by mail, or receive information from salespeople or merchants by telephone.
  8. 8. Mail charge statements to customers.
  9. 9. Examine city directories and public records to verify residence property ownership, bankruptcies, liens, arrest record, or unpaid taxes of applicants.
  10. 10. Relay credit report information to subscribers by mail or by telephone.

Key Skills Required

  • Reading Comprehension
  • Active Listening
  • Speaking
  • Critical Thinking
  • Writing
  • Social Perceptiveness
  • Time Management
  • Monitoring
  • Coordination
  • Service Orientation

Knowledge Areas

  • Customer and Personal Service
  • English Language
  • Mathematics
  • Law and Government
  • Administrative
  • Economics and Accounting
  • Computers and Electronics
  • Administration and Management
  • Sales and Marketing
  • Psychology

Frequently Asked Questions

Will AI replace Credit authorizers, checkers, and clerks?

Credit authorizers, checkers, and clerks has an AI exposure score of 60%, indicating a high level of automation risk. Some tasks in this role can be augmented or partially automated by AI, but core responsibilities require human judgment.

What is the job outlook for Credit authorizers, checkers, and clerks?

According to BLS Employment Projections 2024-2034, Credit authorizers, checkers, and clerks is projected to decline by 6.2% over the decade. Current employment stands at approximately 12,000 workers.

What skills are needed for Credit authorizers, checkers, and clerks?

Key skills for Credit authorizers, checkers, and clerks include Reading Comprehension, Active Listening, Speaking, and others. Typical entry-level education is High school diploma or equivalent.

How much do Credit authorizers, checkers, and clerks earn?

The median annual wage for Credit authorizers, checkers, and clerks is $49,130, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for Credit authorizers, checkers, and clerks?

The typical entry-level education for Credit authorizers, checkers, and clerks is High school diploma or equivalent. Employers generally expect None of related work experience. On-the-job training typically involves Moderate-term on-the-job training. Requirements can vary by employer and specialization.

Which companies employ Credit authorizers, checkers, and clerks?

Credit authorizers, checkers, and clerks roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

3.0
out of 5.0

High automation risk based on 10 analyzed tasks. A majority of tasks in this occupation are susceptible to AI automation.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial

Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.