Insurance Adjusters Emerge as America's Most AI-Averse Profession, Study Shows
A Glassdoor study reported by WIRED reveals that 98% of insurance claims adjusters who mentioned AI in their workplace reviews expressed negative sentiment toward the technology. Workers report that corporate management is forcing error-prone AI systems onto claims workflows, leaving human adjusters to fix mistakes and endure customer backlash. The study highlights significant real-world friction in enterprise AI adoption when automated systems are prematurely deployed in high-stakes industries. It demonstrates how ill-implemented automation can increase workload and worker frustration rather than improving efficiency. Common complaints include AI misclassifying claims during initial intakes, hallucinating facts in legal and medical summaries, and failing over minor document imperfections like smudges. Glassdoor data also shows that entry-level claims adjuster postings have plummeted by 50% since 2025 alongside broader employment declines in the field.
## BACKGROUND
First Notice of Loss (FNOL) is the initial report submitted by a policyholder following an accident or damage, forming the critical first step in the insurance claims process. Meanwhile, AI hallucination refers to instances where generative AI models produce plausible-sounding but factually incorrect or fabricated outputs, which can lead to improper claim payouts or rejections in insurance settings.