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AI Automation Index
Task-level automation exposure for Insurance Claims and Policy Processing Clerks: 25 O*NET tasks scored against their work activities, plus the simulator.
Automation Exposure
25 of 25 tasks scored
Median Salary
BLS OEWS, May 2025 — this exact occupation
Employment Level
214,260 people hold this job — size, not growth
Projected 2025–35
17,500 openings a year · BLS line item
BLS OEWS publishes 50 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$30,910 – $60,650
Highest medians
Lowest medians
State figures come from the 43-9041 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
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.
Importance-weighted mean of the scored tasks. This is the headline index.
Share of weighted tasks in hands-on or machine-operating work activities.
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Share in documenting, recording, and administrative activities.
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
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.
25 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
20 tasks
5 tasks
0 tasks
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 →Prepare insurance claim forms or related documents, and review them for completeness.
data analysis — Detecting recording errors is deterministic pattern matching
Calculate amount of claim.
data analysis — Cost calculation from structured inputs
Post or attach information to claim file.
data analysis — Compiling data or documentation is largely automatable
Transmit claims for payment or further investigation.
text generation — Sending digital materials automatable; physical mailing human
Contact insured or other involved persons to obtain missing information.
interpersonal — Account discussions need human relationship and judgment
Review insurance policy to determine coverage.
information retrieval — Extracts and checks insurance data against criteria
Process and record new insurance policies and claims.
data analysis — Maintain operational records in structured systems
Organize or work with detailed office or warehouse records, using computers to enter, access, search or retrieve data.
data analysis — Data entry into systems automatable
Provide customer service, such as limited instructions on proceeding with claims or referrals to auto repair facilities or local contractors.
information retrieval — AI explains policies; human handles live questions
Correspond with insured or agent to obtain information or to inform them of account status or changes.
text generation — Routine customer notifications largely automatable
Review and verify data, such as age, name, address, and principal sum and value of property, on insurance applications and policies.
data analysis — Transactional data verification is rule-based and reliable
Compare information from application to criteria for policy reinstatement, and approve reinstatement when criteria are met.
information retrieval — Extracts and checks insurance data against criteria
Examine letters from policyholders or agents, original insurance applications, and other company documents to determine if changes are needed and effects of changes.
information retrieval — Extracts and checks insurance data against criteria
Transcribe data to worksheets, and enter data into computer for use in preparing documents and adjusting accounts.
data analysis — Data entry into systems automatable
Notify insurance agent and accounting department of policy cancellation.
text generation — Providing routine information to coworkers is text-based
Pay small claims.
data analysis — Financial execution software-mediated; authorization human
Process, prepare, and submit business or government forms, such as submitting applications for coverage to insurance carriers.
text generation — Compliance docs drafted; human owns regulatory accuracy
Collect initial premiums and issue receipts.
physical manipulation — Handling cash/payment collection in person
Interview clients and take their calls to provide customer service and obtain information on claims.
interpersonal — Call routing automatable; nuanced calls need human
Obtain computer printout of policy cancellations, or retrieve cancellation cards from file.
information retrieval — Data gathering aided; verification and consent human
Compose business correspondence for supervisors, managers, and professionals.
text generation — Routine business correspondence fully draftable by AI
Calculate premiums, refunds, commissions, adjustments, or new reserve requirements, using insurance rate standards.
data analysis — Financial calculations fully automatable
Enter insurance- and claims-related information into database systems.
data analysis — Data entry into systems automatable
Modify, update, or process existing policies and claims to reflect any change in beneficiary, amount of coverage, or type of insurance.
data analysis — Maintain financial records; human reconciles exceptions
Organize or work with detailed office or warehouse records, maintaining files for each policyholder, including policies that are to be reinstated or cancelled.
data analysis — Maintain financial records; human reconciles exceptions
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<script src="https://giniloh.com/embed.js" async></script> Community Sentiment
Do you agree with the AI automation risk score calculated for this occupation?
Method
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
See the full method →Related Article
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