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AI Automation Index
Task-level automation exposure for Claims Adjusters, Examiners, and Investigators: 29 O*NET tasks scored against their work activities, plus the simulator.
Automation Exposure
29 of 29 tasks scored
Median Salary
BLS OEWS, May 2025 — this exact occupation
Employment Level
324,230 people hold this job — size, not growth
Projected 2025–35
20,900 openings a year · BLS line item
BLS OEWS publishes 54 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$45,970 – $101,150
Highest medians
Lowest medians
State figures come from the 13-1031 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.
29 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
13 tasks
10 tasks
6 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 →Examine claims forms and other records to determine insurance coverage.
data analysis — Organizational calculations from given data
Analyze information gathered by investigation and report findings and recommendations.
text generation — Draft legal docs; attorney owns accuracy
Pay and process claims within designated authority level.
data analysis — Payments executed via systems; human authorizes
Investigate, evaluate, and settle claims, applying technical knowledge and human relations skills to effect fair and prompt disposal of cases and to contribute to a reduced loss ratio.
information retrieval — Legal research strong, judgment and accountability human
Verify and analyze data used in settling claims to ensure that claims are valid and that settlements are made according to company practices and procedures.
data analysis — Cross-checking records against criteria, human spot-checks
Review police reports, medical treatment records, medical bills, or physical property damage to determine the extent of liability.
data analysis — Cost estimation from given inputs
Investigate and assess damage to property and create or review property damage estimates.
decision support — Appraisal needs local market judgment and inspection
Interview or correspond with agents and claimants to correct errors or omissions and to investigate questionable claims.
interpersonal — Witness/suspect interviews need human presence
Interview or correspond with claimants, witnesses, police, physicians, or other relevant parties to determine claim settlement, denial, or review.
interpersonal — Witness/suspect interviews need human presence
Enter claim payments, reserves and new claims on computer system, inputting concise yet sufficient file documentation.
data analysis — Enter and maintain data in information systems
Resolve complex, severe exposure claims, using high service oriented file handling.
decision support — AI advises on IT solutions; humans implement and validate
Adjust reserves or provide reserve recommendations to ensure that reserve activities are consistent with corporate policies.
decision support — AI drafts financial guidance; accountability and tailoring human
Confer with legal counsel on claims requiring litigation.
interpersonal — Legal-process meetings carry accountability and live presence
Examine claims investigated by insurance adjusters, further investigating questionable claims to determine whether to authorize payments.
information retrieval — Legal research strong, judgment and accountability human
Maintain claim files, such as records of settled claims and an inventory of claims requiring detailed analysis.
text generation — Standard financial documents drafted from data
Refer questionable claims to investigator or claims adjuster for investigation or settlement.
text generation — AI drafts reports to managers; human sends
Collect evidence to support contested claims in court.
physical manipulation — Evidence collection is fieldwork with chain of custody
Contact or interview claimants, doctors, medical specialists, or employers to get additional information.
interpersonal — Witness/suspect interviews need human presence
Present cases and participate in their discussion at claim committee meetings.
interpersonal — Business presentations are live persuasive human work
Report overpayments, underpayments, and other irregularities.
text generation — AI drafts reports to managers; human sends
Attend mediations or trials.
information retrieval — Legal research strong, judgment and accountability human
Supervise claims adjusters to ensure that adjusters have followed proper methods.
interpersonal — Employee supervision is accountability-bearing human work
Conduct detailed bill reviews to implement sound litigation management and expense control.
data analysis — Examines records for anomalies; human validates findings
Communicate with reinsurance brokers to obtain information necessary for processing claims.
decision support — Financial conferral aided; judgment and trust human
Prepare reports to be submitted to company's data processing department.
text generation — Generate operational reports from structured data
Examine titles to property to determine validity and act as company agent in transactions with property owners.
data analysis — Cross-checking records against criteria, human spot-checks
Obtain credit information from banks and other credit services.
information retrieval — Gather financial records, human verifies authenticity
Communicate with former associates to verify employment record or to obtain background information regarding persons or businesses applying for credit.
decision support — Eligibility screening against rules, human decides edge cases
Negotiate claim settlements or recommend litigation when settlement cannot be negotiated.
decision support — Compliance guidance drafted; human verifies and owns
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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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