Claims Adjusters, Examiners, and Investigators

With an automation risk score of 55%, Claims Adjusters, Examiners, and Investigators faces a moderate level of AI-driven change. Some tasks can be automated, but many require human judgment, creativity, or interpersonal skills that AI cannot yet replicate. The role is more likely to evolve alongside AI than be replaced.

Our estimated AI automation risk score for Claims Adjusters, Examiners, and Investigators is 55% for 2025. Estimated overall AI exposure is 60%, with 78% theoretical exposure and 41% observed exposure. The estimated risk trend from 2023 to 2025 is +15 points. All of these are model-generated estimates, not measurements.

The tasks with the highest automation potential for Claims Adjusters, Examiners, and Investigators are: Process and categorize incoming insurance claims (82%), Analyze claim documentation and detect fraud patterns (75%), Conduct field investigations and interview claimants (20%). These rates are our own estimates of how much of each task current AI systems can handle. They are not measurements and are not taken from any external dataset.

We estimate a -5% employment change for Claims Adjusters, Examiners, and Investigators between 2024 and 2034. This is our own estimate, not a figure published by the U.S. Bureau of Labor Statistics. Combined with an estimated overall AI exposure of 60%, this occupation faces both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.

Since AI primarily augments capabilities in this role, professionals in Claims Adjusters, Examiners, and Investigators should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.