INSURANCE ADJUSTERS OVERWHELMINGLY REJECT AI TOOLS

A sweeping majority of insurance claims adjusters are openly critical of artificial intelligence implementations in their workplace, according to Glassdoor review data. Of reviews mentioning AI, 98 percent were negative. The backlash reflects growing tensions between workers and employers automating claims processing tasks. Claims adjusters—responsible for investigating insurance claims, determining validity, and assessing payouts—say AI tools are being deployed without adequate safeguards or human oversight. One adjuster told WIRED: "AI is just a tool. It should never be given the keys." The comment captures a central concern: that insurers are granting AI systems too much autonomy in decisions affecting payouts and customer outcomes. The sentiment aligns with broader labor concerns about automation. Claims adjusters argue their expertise involves nuanced judgment calls that require understanding context, detecting fraud patterns, and applying empathy—capabilities they contend AI systems lack despite marketing claims. Insurers have increasingly adopted AI to streamline operations, reduce costs, and accelerate claim processing times. However, the technology has faced scrutiny over bias, accuracy, and fairness. When AI systems make claims decisions or recommendations, errors can directly impact customers' financial recovery after loss. The near-unanimous negative sentiment from adjusters suggests the industry rollout of AI has proceeded without buy-in from frontline workers who understand claims processing complexities. Rather than treating AI as a supplementary tool, companies appear to be positioning it as a decision-maker, triggering resistance from professionals who view themselves as irreplaceable in the claims adjustment process. The disconnect between corporate AI adoption and worker sentiment raises questions about long-term sustainability of these implementations and whether insurers will face pressure to recalibrate how AI integrates into claims workflows.