Will AI replace Claims Adjusters, Examiners, and Investigators?
Estimated risk score: 69 out of 100
High replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (50 to 88).
For the occupation as a whole, from ratings of its 29 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 13-1031.00 · Business and Financial Operations
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 12 of its 29 rated tasks; the first 6 are shown. In O*NET’s words.
- Enter claim payments, reserves and new claims on computer system, inputting concise yet sufficient file documentation.
- Prepare reports to be submitted to company's data processing department.
- Adjust reserves or provide reserve recommendations to ensure that reserve activities are consistent with corporate policies.
- Examine claims forms and other records to determine insurance coverage.
- Maintain claim files, such as records of settled claims and an inventory of claims requiring detailed analysis.
- Pay and process claims within designated authority level.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 1 of its 29 rated tasks. In O*NET’s words.
- Attend mediations or trials.
What the job is
Review settled claims to determine that payments and settlements are made in accordance with company practices and procedures. Confer with legal counsel on claims requiring litigation. May also settle insurance claims.
Also called: Claims Adjuster, Claims Examiner, Claims Representative, Claims Agent, Fire Adjuster, Claims Auditor, Claims Adjustor, Claims Approver.
Closest jobs we score by hand
In the same field (Business and Financial Operations). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate