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Do you agree with the AI automation risk score calculated for this occupation?
AI Automation Index
Will AI Replace Credit Authorizers, Checkers, and Clerks?
Task-level automation exposure for Credit Authorizers, Checkers, and Clerks: 16 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
62%
weighted task index
16 of 16 tasks scored
Median Salary
$50,080 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Low
12,030 people hold this job — size, not growth
Projected 2025–35
-7.4%
employment change
900 openings a year · BLS line item
Pay by state
BLS OEWS publishes 34 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$30,490 – $62,930
Highest medians
Texas $62,930
Minnesota $61,000
Washington $59,840
New Jersey $59,400
Illinois $58,880
Lowest medians
Georgia $30,490
Puerto Rico $33,700
Alabama $35,990
Louisiana $37,440
Mississippi $39,040
State figures come from the 43-4041 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 62%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 0%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 21%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 29%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 3/100
Low
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
16 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 52%
8 tasks
Medium exposure (≥ 35%) 41%
7 tasks
Low exposure (below 35%) 7%
1 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Constituent Tasks
#23297 · Core · 80% automatable
Keep records of customers' charges and payments.
data analysis — Maintain financial records; human reconciles exceptions
Maintain financial or account records.
#23298 · Core · 82% automatable
Compile and analyze credit information gathered by investigation.
data analysis — Compiling data or documentation is largely automatable
Compile data or documentation. Analyze financial information.
#23299 · Core · 55% automatable
Obtain information about potential creditors from banks, credit bureaus, and other credit services, and provide reciprocal information if requested.
information retrieval — Data gathering aided; verification and consent human
Obtain personal or financial information about customers or applicants.
#23300 · Core · 30% automatable
Interview credit applicants by telephone or in person to obtain personal and financial data needed to complete credit report.
interpersonal — Live interviewing is human relational work
Interview employees, customers, or others to collect information.
#23301 · Supplemental · 78% automatable
Evaluate customers' computerized credit records and payment histories to decide whether to approve new credit, based on predetermined standards.
data analysis — Financial analysis from given data; human reviews
Analyze financial information.
#23302 · Supplemental · 45% automatable
File sales slips in customers' ledgers for billing purposes.
physical manipulation — Filing physical documents requires hands in the world
File documents or records.
#23303 · Supplemental · 55% automatable
Receive charge slips or credit applications by mail, or receive information from salespeople or merchants by telephone.
information retrieval — Data gathering aided; verification and consent human
Obtain personal or financial information about customers or applicants.
#23304 · Supplemental · 75% automatable
Mail charge statements to customers.
text generation — Sending digital materials automatable; physical mailing human
Send information, materials or documentation.
#23305 · Supplemental · 85% automatable
Examine city directories and public records to verify residence property ownership, bankruptcies, liens, arrest record, or unpaid taxes of applicants.
information retrieval — Search files and references for info
Search files, databases or reference materials to obtain needed information.
#23306 · Supplemental · 55% automatable
Relay credit report information to subscribers by mail or by telephone.
interpersonal — Account discussions need human relationship and judgment
Discuss account status or activity with customers or patrons.
#23307 · Supplemental · 55% automatable
Prepare credit cards or charge account plates.
data analysis — Financial execution software-mediated; authorization human
Execute sales or other financial transactions.
#23308 · Core · 45% automatable
Call customers to collect payment on delinquent accounts.
interpersonal — Account discussions need human relationship and judgment
Discuss account status or activity with customers or patrons. Collect deposits, payments or fees.
#23309 · Core · 72% automatable
Consult with customers to resolve complaints or verify financial or credit transactions.
text generation — Written correspondence to customers is largely automatable
Correspond with customers to answer questions or resolve complaints.
#23310 · Core · 55% automatable
Contact former employers and other acquaintances to verify applicants' references, employment, health history, or social behavior.
information retrieval — Data gathering aided; verification and consent human
Obtain personal or financial information about customers or applicants.
#23311 · Core · 68% automatable
Prepare reports of findings and recommendations.
text generation — Compliance docs drafted; human owns regulatory accuracy
Prepare documentation for contracts, transactions, or regulatory compliance.
#23312 · Core · 65% automatable
Review individual or commercial customer files to identify and select delinquent accounts for collection.
data analysis — Examines records for anomalies; human validates findings
Examine financial records.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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