Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Credit Authorizers, Checkers, and Clerks
Occupation · SOC 43-4041.00
Authorize credit charges against customers' accounts. Investigate history and credit standing of individuals or business establishments applying for credit. May interview applicants to obtain personal and financial data, determine credit worthiness, process applications, and notify customers of acceptance or rejection of credit.
Also called: Commercial Credit Reviewer · Credit Investigator · Credit Processor · Credit Representative · Commercial Loan Reviewer · Accounts Receivable Coordinator · Authorizer · Branch Processor · Call Out Operator · Charge Authorizer · Collector · Commercial Credit Advisor
Job family: Office and Administrative Support Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-43-4041-00/context.md directly.
AI work map
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Market signal
Independent published positions, read together — not a forecast.
- Declining employment outlook (-6.2% by 2034)
- 1,000 openings/yr
- Moderate AI exposure
- Median pay $49,130/yr
- Can largely be done remotely (teleworkable)
- Both the 2013 computerization estimate and today's AI exposure rank this high
88th-percentile task overlap — yet about 1,000 openings a year (-6.2% projected, BLS) . What exposure means →
AI & job outlook
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Exposure to current AI
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) High | 98th | 1.4 | |
| LLM task exposure, γ (OpenAI / Eloundou) High | 86th | 1.0 | |
| AI assistant applicability (Microsoft) Moderate | 64th | 0.2 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.4), with simple added tooling (β 0.7), and including AI-powered software (γ 1.0). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Most of this job's tasks can be done remotely (Dingel–Neiman), which tends to track with higher digital and AI exposure.
Historical automation estimate (2013)
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 1.0 · 94th percentile among occupations · High
How AI is actually used in this job
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Relay credit report information to subscribers by mail or by telephone. | 2.6% | |
| Receive charge slips or credit applications by mail, or receive information from salespeople or merchants by telephone. | 0.3% | |
| Prepare credit cards or charge account plates. | 0.2% |
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | Declining · -6.2% by 2034 |
| Projected annual openings | 1,000 |
| Employment 2024 → 2034 | 12,000 → 11,300 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
Where this work sits on the global GenAI gradient
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
Credit Authorizers, Checkers, and Clerks sits at the 99th percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure eased from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
64% mean task exposure (2025)
99th percentile of 427 placed occupations
−2 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Statistical, Finance and Insurance Clerks · 4312 | 64% | Gradient 4 |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
Tasks
All 16 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Evaluate customers' computerized credit records and payment histories to decide whether to approve new credit, based on predetermined standards. Supplemental · importance 4.6
- Keep records of customers' charges and payments. Core · importance 4.5
- Compile and analyze credit information gathered by investigation. Core · importance 4.4
- File sales slips in customers' ledgers for billing purposes. Supplemental · importance 4.4
- Obtain information about potential creditors from banks, credit bureaus, and other credit services, and provide reciprocal information if requested. Core · importance 4.0
- Interview credit applicants by telephone or in person to obtain personal and financial data needed to complete credit report. Core · importance 4.0
- Receive charge slips or credit applications by mail, or receive information from salespeople or merchants by telephone. Supplemental · importance 3.9
- Mail charge statements to customers. Supplemental · importance 3.8
- Examine city directories and public records to verify residence property ownership, bankruptcies, liens, arrest record, or unpaid taxes of applicants. Supplemental · importance 3.4
- Relay credit report information to subscribers by mail or by telephone. Supplemental · importance 3.3
- Prepare credit cards or charge account plates. Supplemental · importance 3.0
- Call customers to collect payment on delinquent accounts.
- Consult with customers to resolve complaints or verify financial or credit transactions.
- Contact former employers and other acquaintances to verify applicants' references, employment, health history, or social behavior.
- Prepare reports of findings and recommendations.
- Review individual or commercial customer files to identify and select delinquent accounts for collection.
Work activities
- Maintain financial or account records.
- Compile data or documentation.
- Analyze financial information.
- Obtain personal or financial information about customers or applicants.
- Interview employees, customers, or others to collect information.
- File documents or records.
- Send information, materials or documentation.
- Search files, databases or reference materials to obtain needed information.
- Discuss account status or activity with customers or patrons.
- Execute sales or other financial transactions.
- Collect deposits, payments or fees.
- Correspond with customers to answer questions or resolve complaints.
- Prepare documentation for contracts, transactions, or regulatory compliance.
- Examine financial records.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
Essential skills
| Reading Comprehension | 3.6 | |
| Active Listening | 3.6 | |
| Speaking | 3.6 | |
| Critical Thinking | 3.3 | |
| Writing | 3.1 | |
| Monitoring | 3.0 | |
| Active Learning | 2.6 |
Abilities
| Oral Comprehension | 3.6 | |
| Written Comprehension | 3.5 | |
| Oral Expression | 3.5 | |
| Problem Sensitivity | 3.5 | |
| Near Vision | 3.5 | |
| Deductive Reasoning | 3.3 | |
| Inductive Reasoning | 3.3 | |
| Speech Recognition | 3.3 | |
| Speech Clarity | 3.3 | |
| Written Expression | 3.1 | |
| Information Ordering | 3.0 | |
| Category Flexibility | 2.8 | |
| Flexibility of Closure | 2.8 | |
| Mathematical Reasoning | 2.6 | |
| Number Facility | 2.6 |
Transferable skills
| Social Perceptiveness | 3.1 | |
| Time Management | 3.1 | |
| Coordination | 3.0 | |
| Service Orientation | 3.0 | |
| Judgment and Decision Making | 3.0 | |
| Instructing | 2.8 | |
| Complex Problem Solving | 2.8 | |
| Persuasion | 2.6 | |
| Management of Personnel Resources | 2.6 |
Skills in demand
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 42.
Tools & technology
Work context
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
How to get in
- Job zone
- Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
- Education
- Usually requires a high school diploma or GED, though some occupations may not.
- Typical entry-level education
- High school diploma or equivalent · BLS, the typical path — not a requirement
- Related experience
- Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
- Preparation level
- SVP (Below 6.0) — total schooling plus on-the-job experience.
What to study: Business, Management, Marketing, and Related Support Services . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Career interests (Holland / RIASEC)
| Conventional | 7.0 | |
| Enterprising | 4.5 | |
| Social | 3.4 | |
| Investigative | 1.9 |
Interest areas
| Office Work | 5.9 | |
| Accounting | 4.9 | |
| Finance | 3.3 | |
| Management/Administration | 2.5 | |
| Law | 2.4 | |
| Human Resources | 2.0 | |
| Mathematics/Statistics | 1.9 | |
| Business Initiatives | 1.9 |
Work styles
| Dependability | 4.0 | |
| Attention to Detail | 3.0 | |
| Integrity | 2.2 | |
| Cautiousness | 2.2 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $34,590 |
| 25th percentile | $40,850 |
| Median (50th) | $49,130 |
| 75th percentile | $59,530 |
| 90th percentile | $71,730 |
| People employed | 11,960 |
Industries that employ this occupation
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Finance and Insurance · Sector | 3,920 | $51,000 |
| Wholesale Trade · Sector | 1,400 | $51,480 |
| Retail Trade · Sector | 1,350 | $36,920 |
| Management of Companies and Enterprises · Sector | 1,350 | $52,340 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 1,110 | $46,480 |
| Real Estate and Rental and Leasing · Sector | 550 | $43,830 |
| Information · Sector | 520 | $50,450 |
| Professional, Scientific, and Technical Services · Sector | 500 | $45,190 |
| Health Care and Social Assistance · Sector | 450 | $45,670 |
| Manufacturing · Sector | 330 | $51,630 |
| Transportation and Warehousing · Sector | 200 | $54,430 |
| Temporary Help Services · National industry | 80 | $50,980 |
Where this work is most concentrated
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Finance and Insurance · Sector | 8.12× | 3,920 |
| Management of Companies and Enterprises · Sector | 6.2× | 1,350 |
| Wholesale Trade · Sector | 2.99× | 1,400 |
| Real Estate and Rental and Leasing · Sector | 2.99× | 550 |
| Information · Sector | 2.31× | 520 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 1.58× | 1,110 |
| Retail Trade · Sector | 1.12× | 1,350 |
| Professional, Scientific, and Technical Services · Sector | 0.6× | 500 |
Related occupations
Part of the Financial Services career cluster.
- Credit Analysts · 13-2041.00 Compare →
- Loan Interviewers and Clerks · 43-4131.00 Compare →
- Loan Officers · 13-2072.00 Compare →
- Bill and Account Collectors · 43-3011.00 Compare →
- Credit Counselors · 13-2071.00 Compare →
- Customer Service Representatives · 43-4051.00 Compare →
- Bookkeeping, Accounting, and Auditing Clerks · 43-3031.00 Compare →
- Insurance Claims and Policy Processing Clerks · 43-9041.00 Compare →
- New Accounts Clerks · 43-4141.00 Compare →
- Tax Examiners and Collectors, and Revenue Agents · 13-2081.00 Compare →
- Tellers · 43-3071.00 Compare →
- Financial Managers · 11-3031.00 Compare →
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
What you can do with this
Options the data surfaces for Credit Authorizers, Checkers, and Clerks — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Skills that travel
Capabilities this work builds that are used across many other occupations.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
Paths in
How people typically prepare for this work.
- High school diploma or equivalent · typical entry level
- Job zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed · preparation tier
- Business, Management, Marketing, and Related Support Services · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 99th percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Credit Authorizers, Checkers, and Clerks show 88th-percentile AI task overlap — and about 1,000 annual U.S. openings
- Credit Authorizers, Checkers, and Clerks rank in the 88th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
- The occupation is projected to see about 1,000 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
- BLS projects employment to be declining (-6.2%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $49,130, across about 11,960 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Credit Authorizers, Checkers, and Clerks show 88th-percentile AI task overlap — and about 1,000 annual U.S. openings • Credit Authorizers, Checkers, and Clerks rank in the 88th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 1,000 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be declining (-6.2%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $49,130, across about 11,960 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Credit Authorizers, Checkers, and Clerks". https://singulariki.com/roles/role-43-4041-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Credit Authorizers, Checkers, and Clerks." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-43-4041-00
APA
Singulariki. (2026). Credit Authorizers, Checkers, and Clerks. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-43-4041-00
BibTeX
@misc{singulariki-role-43-4041-00,
title = {Credit Authorizers, Checkers, and Clerks},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-43-4041-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.