Gini Loh System Tools

AI Automation Index

Will AI Replace Claims Adjusters, Examiners, and Investigators?

Task-level automation exposure for Claims Adjusters, Examiners, and Investigators: 29 O*NET tasks scored against their work activities, plus the simulator.

E-E-A-T Verified
Developed & audited by Gini Loh

Automation Exposure

56% weighted task index

29 of 29 tasks scored

Median Salary

$78,000 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Very High

324,230 people hold this job — size, not growth

Projected 2025–35

-5.5% employment change

20,900 openings a year · BLS line item

Pay by state

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

District of Columbia $101,150
New Jersey $95,690
Maryland $95,560
California $91,790
Connecticut $88,330

Lowest medians

Puerto Rico $45,970
Guam $50,560
Virgin Islands $60,050
Nevada $62,730
Montana $63,860

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.

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 56%

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 39%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 19%

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 17/100 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

29 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) 44%

13 tasks

Medium exposure (≥ 35%) 35%

10 tasks

Low exposure (below 35%) 21%

6 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

#21417 · Core · 80% automatable

Examine claims forms and other records to determine insurance coverage.

data analysis — Organizational calculations from given data

Calculate data to inform organizational operations.
#21418 · Core · 57% automatable

Analyze information gathered by investigation and report findings and recommendations.

text generation — Draft legal docs; attorney owns accuracy

Investigate legal issues. Prepare legal or investigatory documentation.
#21426 · Core · 65% automatable

Pay and process claims within designated authority level.

data analysis — Payments executed via systems; human authorizes

Pay charges, fees, or taxes.
#21423 · Core · 44% automatable

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

Investigate legal issues. Negotiate agreements to resolve disputes.
#21428 · Core · 82% automatable

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

Verify accuracy of records.
#21419 · Core · 78% automatable

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

Estimate costs of goods or services.
#21420 · Core · 45% automatable

Investigate and assess damage to property and create or review property damage estimates.

decision support — Appraisal needs local market judgment and inspection

Appraise property values.
#21421 · Core · 20% automatable

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 witnesses, suspects, or claimants.
#21422 · Core · 20% automatable

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

Interview witnesses, suspects, or claimants.
#21429 · Core · 85% automatable

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

Maintain data in information systems or databases.
#21425 · Core · 53% automatable

Resolve complex, severe exposure claims, using high service oriented file handling.

decision support — AI advises on IT solutions; humans implement and validate

Apply information technology to solve business or other applied problems. Resolve customer complaints or problems.
#21424 · Core · 43% automatable

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

Implement financial decisions. Advise others on financial matters.
#21432 · Core · 30% automatable

Confer with legal counsel on claims requiring litigation.

interpersonal — Legal-process meetings carry accountability and live presence

Meet with individuals involved in legal processes to provide information and clarify issues.
#21427 · Core · 55% automatable

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

Investigate legal issues.
#21434 · Core · 82% automatable

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

Prepare financial documents.
#21430 · Core · 72% automatable

Refer questionable claims to investigator or claims adjuster for investigation or settlement.

text generation — AI drafts reports to managers; human sends

Report information to managers or other personnel.
#21431 · Core · 30% automatable

Collect evidence to support contested claims in court.

physical manipulation — Evidence collection is fieldwork with chain of custody

Collect evidence for legal proceedings.
#21433 · Core · 20% automatable

Contact or interview claimants, doctors, medical specialists, or employers to get additional information.

interpersonal — Witness/suspect interviews need human presence

Interview witnesses, suspects, or claimants.
#21435 · Core · 50% automatable

Present cases and participate in their discussion at claim committee meetings.

interpersonal — Business presentations are live persuasive human work

Present business-related information to audiences.
#21439 · Core · 72% automatable

Report overpayments, underpayments, and other irregularities.

text generation — AI drafts reports to managers; human sends

Report information to managers or other personnel.
#21443 · Core · 55% automatable

Attend mediations or trials.

information retrieval — Legal research strong, judgment and accountability human

Investigate legal issues.
#21436 · Supplemental · 30% automatable

Supervise claims adjusters to ensure that adjusters have followed proper methods.

interpersonal — Employee supervision is accountability-bearing human work

Supervise employees.
#21437 · Supplemental · 65% automatable

Conduct detailed bill reviews to implement sound litigation management and expense control.

data analysis — Examines records for anomalies; human validates findings

Examine financial records.
#21440 · Supplemental · 55% automatable

Communicate with reinsurance brokers to obtain information necessary for processing claims.

decision support — Financial conferral aided; judgment and trust human

Confer with others about financial matters.
#21441 · Supplemental · 80% automatable

Prepare reports to be submitted to company's data processing department.

text generation — Generate operational reports from structured data

Prepare operational reports.
#21438 · Supplemental · 82% automatable

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

Verify accuracy of records.
#21442 · Supplemental · 72% automatable

Obtain credit information from banks and other credit services.

information retrieval — Gather financial records, human verifies authenticity

Gather financial records.
#21444 · Core · 75% automatable

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

Verify application data to determine program eligibility.
#21445 · Core · 44% automatable

Negotiate claim settlements or recommend litigation when settlement cannot be negotiated.

decision support — Compliance guidance drafted; human verifies and owns

Negotiate agreements to resolve disputes. Advise others on legal or regulatory compliance matters.
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Method

How this was scored

  1. 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
  2. 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. 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. 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

See the full method →

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