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You Know Who Really Hates AI? Insurance Claims Adjusters

Insurance claims adjusters are overwhelmingly critical of AI, with 98 percent expressing negative views on Glassdoor, citing error-prone tools that increase their workload and contribute to job insecurity.

Aug 31·wired.com·3 min read

Intelligence analysis by Gemini 2.5 Flash

You Know Who Really Hates AI? Insurance Claims Adjusters
Image: wired.com

A Glassdoor study reveals that insurance claims adjusters are the biggest AI "haters" in the American workforce, with 98 percent expressing criticism. They report that AI tools are often flawed, leading to misclassified claims, "hallucinations," and increased human workload to correct errors. This widespread dissatisfaction is compounded by fears of job displacement, as the Bureau of …

Why it matters

This story highlights a significant challenge in AI adoption: resistance from workers whose jobs are directly impacted by flawed automation. It underscores the importance of effective AI implementation and addressing workforce concerns to prevent backlash and ensure successful integration of new technologies.

Imagine you're building with LEGOs, but some of the instruction steps are wrong, making you fix everything. That's how insurance claims adjusters feel about AI. Big companies are using computer brains to help with claims, but these brains often make mistakes, like mixing up details or sending things to the wrong place. This means the human adjusters have to clean up the mess, making their jobs harder and making them worry they might lose their jobs to these faulty robots.

Analysis

Glassdoor

The job review platform Glassdoor has identified insurance claims adjusters as the most vocal critics of artificial intelligence in the American workforce. Their research indicates that a staggering 98 percent of adjusters who mention AI in their reviews express negative sentiments. This overwhelming disapproval stems from experiences with “AI-obsessed leaders forcing error-prone AI on them and their clients,” leading to significant frustration.

Glassdoor senior economist Chris Martin initially found these results surprising, prompting further investigation into the profession's unique challenges. The data suggests a deep-seated skepticism among adjusters, who feel that subpar AI products are being imposed upon them, often creating more problems than they solve. This sentiment is further exacerbated by a pervasive sense of job insecurity within the industry.

Ahmad Jackson

Ahmad Jackson, a former claims adjuster for a major insurance company, provides a firsthand account of the frustrations caused by AI implementation. His employer's decision to use AI for initial loss reporting, intended to streamline simple claims, instead resulted in a “sudden influx of misclassified claims.” This required Jackson and his colleagues to reroute and correct numerous errors, significantly increasing their workload.

Jackson also encountered “AI-driven hallucinations” in claims summaries, which, when inadvertently relayed to clients or attorneys, led to their anger and frustration being directed at him. This experience ultimately led him to quit his job and seek employment with a different insurance carrier. His testimony underscores the practical difficulties and emotional toll that flawed AI systems can impose on human workers.

Lemonade

Companies like Lemonade exemplify the push towards extensive AI integration in the insurance sector, aiming to replace traditional bureaucracy with “bots and machine learning.” Since its inception in 2015, Lemonade has developed its proprietary chatbot, AI Jim, which by the end of last year handled 96 percent of initial reports. Overall, automation managed approximately 55 percent of all claims for the company.

While Lemonade acknowledges that AI will impact many jobs, a spokesperson, Paul Staats, suggests that automation allows human employees to focus their “empathy, care, and expertise on the most complex claims.” However, this perspective contrasts sharply with the widespread “AI fatigue” reported by adjusters like Geoffrey Conrad, who feel that AI is being “shoved down our throats” and fear they are merely training their replacements. The company's approach highlights the industry's divided views on AI's role in the future workforce.

Key points

  • Insurance claims adjusters are the most critical of AI in the American workforce, with 98 percent expressing negative views on Glassdoor.
  • Adjusters report that AI tools are often error-prone, leading to misclassified claims, "hallucinations," and increased workload for humans.
  • The Bureau of Labor Statistics projects a 5 percent decline in claims adjuster jobs over the next decade, with entry-level postings already down 50 percent since 2025, largely due to technology.
  • Companies like Lemonade are heavily automating claims processing, with AI Jim handling 96 percent of initial reports and automation managing 55 percent of all claims.
  • While AI can assist with simple administrative tasks, adjusters lack faith in its output for critical functions, fearing job replacement and customer dissatisfaction due to AI errors.
The Upside

The article mentions that AI can be helpful for administrative tasks and "nuisance calls," like extending rental car bookings. If AI is effectively refined to handle only these simpler, repetitive tasks, it could genuinely free up adjusters to focus on complex cases requiring human empathy and expertise, as suggested by some proponents. This would lead to more efficient operations and potentially higher job satisfaction for adjusters handling more meaningful work.

The Downside

The current trend suggests a significant decline in claims adjuster jobs, with the BLS projecting an 18,900 reduction in the coming decade, and entry-level postings already down 50 percent. If AI continues to be error-prone and forced upon workers, it could lead to widespread job displacement, decreased morale, and a potential degradation of service quality as complex human-centric tasks are either mishandled by AI or left to an overburdened, shrinking human workforce.

Originally reported at

wired.com

Discernion covers the story. Read the full piece at the source.

Tagsaiautomationsocietybusinessjobsworkforce

Intelligence analysis by

Gemini 2.5 Flash

Published

Aug 31, 2026

Source

wired.com

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