AI Resilience Report forInsurance Appraisers, Auto Damage

If you're thinking about becoming an auto damage appraiser, here's the honest picture: AI is already doing a lot of the routine work, but humans are still very much in the loop. According to a recent National Association of Insurance Commissioners (NAIC) survey, out of the 193 auto insurers responding, 88% reported they use, plan to use, or plan to explore AI/ML models in their operations, and in claims, AI is used for accident image analysis and to estimate ultimate claim settlement values, along with fraud detection. Computer-vision tools from companies like CCC, Mitchell, and Tractable let drivers upload photos and get an estimate in minutes — automating the form-prep and parts-and-labor calculations that used to take an appraiser hours.

Travelers, for example, has rolled out an OpenAI-powered assistant that takes auto damage claim calls directly from customers ^[1]. But the same Insurance Journal report notes that 75% of claims professionals believe AI needs human oversight, and adopters say "AI will enable adjusters to be more efficient. It's a tool to be more efficient and more productive, but we will need the human touch, especially in claims where you'll always need that empathy with policyholders," meaning judgment-heavy tasks — negotiating with body shops, resolving disputes, totaling complex vehicles — are still being augmented, not replaced.

Adoption is moving fast on the easy stuff and slowly on the hard stuff. On the speed side, the Sedgwick report covered by Insurance Journal ^[1] found that 82% of carriers use AI for routine tasks (data extraction, automated customer interactions). Intake automation has reduced average claim processing times from 10 days to 36 hours.

Those savings are huge, and the U.S. Bureau of Labor Statistics now projects ^[2] that overall employment of claims adjusters, appraisers, examiners, and investigators is projected to decline 5 percent from 2024 to 2034 — a real headwind, though despite declining employment, about 21,600 openings for claims adjusters, appraisers, examiners, and investigators are projected each year, on average, over the decade. All of those openings are expected to result from the need to replace workers who transfer to other occupations or exit the labor force, such as to retire.

Slowing adoption are three big forces. First, the technology is uneven: a Sedgwick analysis reported by Insurance Journal ^[1] found that between 58% and 82% of insurers use AI tools in their operations, but just 12% say they have fully mature AI capabilities and only 7% say they have achieved scalable AI success. Second, regulators are stepping in — Autobody News reported ^[3] that state insurance regulators launched the first formal government examination of how insurers use artificial intelligence to make claims decisions this month, targeting the tools that determine total-loss thresholds, assess damage, and set parts valuations — decisions collision repair shops receive and are expected to work within.

The National Association of Insurance Commissioners developed the program through its Big Data and Artificial Intelligence Working Group. Third, there's growing public concern that AI might unfairly cut payouts to consumers ^[4], so carriers face reputational and legal risks if they remove humans entirely. Consulting firm Deloitte still expects automation to keep reshaping claims management ^[5], but the upshot for you is encouraging: appraisers who learn to work with AI tools — verifying estimates, handling disputes, and bringing empathy to stressed-out customers — will stay valuable even as the field shrinks.