Claims Adjusters, Examiners, and Investigators: daily tasks & AI impact
This page breaks Claims Adjusters, Examiners, and Investigators into the top 15 daily O*NET tasks and scores each for Generative AI automation probability. Those task scores roll up to an overall vulnerability index of 67/100 (Moderate automation risk). Struck-through rows are ≥80% automatable; highlighted safer rows are under 30% or primarily physical.
High-automation exposure
No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.
Durable human work
This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.
Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.
| Task | Importance | AI probability | Nature |
|---|---|---|---|
| Examine claims forms and other records to determine insurance coverage. Core | 4.79 | — | — |
| Analyze information gathered by investigation and report findings and recommendations. Core | 4.76 | — | — |
| Pay and process claims within designated authority level. Core | 4.75 | — | — |
| 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. Core | 4.74 | — | — |
| 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. Core | 4.68 | — | — |
| Review police reports, medical treatment records, medical bills, or physical property damage to determine the extent of liability. Core | 4.67 | — | — |
| Investigate and assess damage to property and create or review property damage estimates. Core | 4.63 | — | — |
| Interview or correspond with agents and claimants to correct errors or omissions and to investigate questionable claims. Core | 4.62 | — | — |
| Interview or correspond with claimants, witnesses, police, physicians, or other relevant parties to determine claim settlement, denial, or review. Core | 4.59 | — | — |
| Enter claim payments, reserves and new claims on computer system, inputting concise yet sufficient file documentation. Core | 4.57 | — | — |
| Resolve complex, severe exposure claims, using high service oriented file handling. Core | 4.49 | — | — |
| Adjust reserves or provide reserve recommendations to ensure that reserve activities are consistent with corporate policies. Core | 4.43 | — | — |
| Confer with legal counsel on claims requiring litigation. Core | 4.41 | — | — |
| Examine claims investigated by insurance adjusters, further investigating questionable claims to determine whether to authorize payments. Core | 4.39 | — | — |
| Maintain claim files, such as records of settled claims and an inventory of claims requiring detailed analysis. Core | 4.29 | — | — |
What remains human
No tasks currently fall under the safe threshold for this occupation.
FAQ
Which Claims Adjusters, Examiners, and Investigators tasks are most exposed to AI?
No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.
Which Claims Adjusters, Examiners, and Investigators tasks are safest from Generative AI?
This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.
How should I read the Claims Adjusters, Examiners, and Investigators task table?
Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.