Insurance claims adjusters are overwhelmingly critical of artificial intelligence systems being integrated into their workflows by major insurers, highlighting concerns over accuracy, increased workloads, and job security as companies scale AI-powered automation.
What Happened
According to research reported by Glassdoor and WIRED, 98 percent of Glassdoor reviews by claims adjusters mentioning AI expressed negative sentiments, reflecting widespread frustration within the profession. Claims adjusters report that AI tools used by insurers often generate errors that they must correct, increasing their workload rather than reducing it. For example, Ahmad Jackson, a former adjuster for a major insurer, described AI-induced misclassification of claims and hallucinated details in claims summaries that led to client dissatisfaction. Facing these challenges, he left his company within a year of its AI adoption.
The insurance sector has seen a significant decline in adjuster employment, with Bureau of Labor Statistics data showing a 21 percent drop in total adjuster numbers between May 2025 and May 2026, and a 50 percent reduction in entry-level job postings since 2025. These shifts are largely attributed to the rise of AI technologies that automate initial claim reporting, damage assessments, and medical record evaluations.
Key Facts
Lemonade, a prominent insurance company founded in 2015 with a strong AI focus, reported that by late 2025 its AI chatbot “AI Jim” handled 96 percent of initial claim reports, with automation managing approximately 55 percent of all claims by year-end. State Farm, another major insurer, maintains a hybrid approach combining human expertise with digital tools, emphasizing support rather than replacement of adjusters.
The Bureau of Labor Statistics projected a 5 percent decline—or about 18,900 fewer claims adjuster jobs—over the coming decade, underscoring the influence of technological change in employment trends. Glassdoor senior economist Chris Martin links the increasingly negative reviews about AI to worker fears of job losses and dissatisfaction with AI’s performance.
What This Means
The backlash from claims adjusters against AI adoption exposes a critical tension between technological innovation and frontline worker experience in insurance. While AI promises efficiency and faster claim processing—benefiting policyholders—adjusters face new challenges managing AI errors, which can degrade customer trust and increase stress. This suggests that AI deployment in insurance must be carefully balanced to avoid eroding human judgment where nuanced decision-making is crucial.
Moreover, the rapid automation threatens the employment stability of insurance adjusters, particularly new entrants to the field, reshaping the workforce landscape. For customers, encounters with AI instead of humans during claims might compromise the empathy and personalized service traditionally valued in insurance, potentially increasing frustration when AI-generated mistakes occur.
The industry’s experience demonstrates the complexity of AI integration: technology can assist with routine administrative tasks, but overreliance risks operational problems and workforce discontent that could ultimately affect both employee morale and customer satisfaction.
Background
AI use in insurance has accelerated with startups like Liberate and Pace securing significant funding to “reinvent” traditional processes through machine learning and automation. Insurers deploy AI to handle initial claims via chatbots, remote damage assessments through images and videos, and automatic extraction of key information from voluminous records.
Lemonade’s model exemplifies an aggressive AI-first approach, aiming to minimize bureaucracy with bots, while legacy insurers like State Farm stress a hybrid system where human adjusters remain central. Despite promises of increased efficiency, adjusters express deep concerns that AI-driven automation introduces errors and undermines their role.
Analysis
Chris Martin from Glassdoor interprets the surge in negative AI-related reviews as a symptom of job insecurity and dissatisfaction with current AI tools, not necessarily an inherent resistance to AI itself. Paul Staats, a Lemonade spokesperson, acknowledges the industry-wide challenges highlighted by Glassdoor, but insists automation frees employees to focus on complex claims requiring empathy and expertise.
Claims adjusters like Geoffrey Conrad insist AI “should never be given the keys,” suggesting a desire for AI to augment rather than replace human judgment. Industry consultant Sandy Avina points out real-world risks with AI errors causing incorrect payouts and subsequent blame falling on adjusters, raising questions about appropriate accountability.
What Comes Next
Insurers are likely to continue scaling AI tools amid ongoing adjustments to balance automation gains with human oversight. The insurance workforce will face shifting roles as new technologies mature, with further employment data and AI performance reports expected throughout the coming years to track industry adaptation.
Sources
This article is based on reporting and publicly available information from the following source:
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