Insurance claims adjusters have become the American workforce's most vocal AI critics, with 98% of their Glassdoor reviews mentioning AI landing negative, according to new research from the job site. The finding coincides with a 21% drop in sector employment between May 2025 and May 2026, per Bureau of Labor Statistics data, and a 50% collapse in entry-level postings since 2025. The BLS cites technology as a primary driver of the decline.
The scale of the shift has outpaced official projections. In 2024, the BLS forecast the adjuster workforce would shrink by 18,900 jobs, or 5%, over the coming decade. The last twelve months alone have burned through roughly four times that pace, as insurers replace human intake with chatbots and route claims decisions through automated photo estimators and document summarizers.
Glassdoor senior economist Chris Martin, who ran the study, said he did a double take when the results came in and started digging. His conclusion: the profession is in a reckoning, and reviews turn sharply anti-AI when workers sense layoffs and when they believe subpar tools are being pushed onto them or their clients. Adjusters typically complain, per the research, about leaders forcing error-prone AI onto them and onto policyholders.
Key facts
- 0198% of Glassdoor reviews from insurance claims adjusters that mention AI are negative, the highest anti-AI sentiment of any US profession.
- 02Employment among US claims adjusters fell 21% between May 2025 and May 2026, according to Bureau of Labor Statistics data.
- 03Entry-level claims adjuster postings dropped 50% since 2025, per Glassdoor.
- 04Lemonade's AI Jim chatbot handled 96% of initial claims reports by end of last year, with automation processing roughly 55% of all claims.
- 05The BLS previously projected the adjuster workforce would shrink by 18,900, or 5%, over the coming decade — a forecast the last year has already outpaced.
Ahmad Jackson worked in the claims department of a major insurer about a year ago when his employer rolled AI into initial loss reporting — the intake step where a claim is set up and basic facts are gathered. The pitch was that simple claims would be streamlined and complex ones routed to humans. What Jackson describes instead is a wave of misclassified claims that adjusters had to reroute manually, plus hallucinated details in AI-generated claim summaries that he unknowingly relayed to claimants and their attorneys. He absorbed the anger and quit for another carrier.
The startup capital chasing this workflow is real. Liberate and Pace have raised on promises to reinvent insurance, while incumbents scale AI across intake, damage estimation from photos and video, and summarization of medical records that can run hundreds of pages. In some flows, a policyholder's uploaded photos, receipts, and documentation can be processed and paid out in seconds without a human touching the file.
Lemonade, founded in 2015, has pushed furthest. Its AI Jim chatbot handled 96% of initial claim reports by the end of last year, and automation processed roughly 55% of all claims end-to-end. Paul Staats, a Lemonade spokesperson, said automating routine work frees employees to focus their empathy and expertise on the most complex claims, and added that the Glassdoor report should be taken seriously across the industry.
“AI is going to impact many jobs and threaten many incumbents in insurance and the economy.”— Paul Staats, Lemonade spokesperson
Not every carrier is running the same play. Justin Tomczak, a representative for State Farm, said the company's aim is to give agents and employees better tools so they can spend more time helping customers, framing AI as augmentation rather than replacement. Geoffrey Conrad, a claims executive in Mobile, Alabama, said adjusters across the industry feel they are training their replacements.
The reliability complaints are specific rather than vibes-based. Sandy Avina, a former adjuster now consulting to the industry, said adjusters have little faith in AI output because a smudge on an attorney's document can trigger a hallucination that produces an incorrect payout, and a missing detail in an AI medical summary can do the same. Customers rarely know AI is the source of the error, so the human adjuster wears the blame.
Conrad, who lost his house to a fire twenty-five years ago before entering the industry, argued that a photograph-and-estimate workflow driven by AI would have failed him at the moment he most needed a person. He said he needed someone to make sure his family was safe, not a payout generated off images, and called AI-as-replacement a dangerous strategy. He does concede AI has uses — Jackson, for instance, said it helps with administrative nuisance work like extending a rental car booking a few days.
The counterweight to the adjuster backlash is the economics. Insurance is a margin business built on loss ratios and cycle times, and a 96% automation rate on intake, if it holds up, is the kind of unit-cost improvement a public insurer cannot ignore. Carriers that resist will face pressure from carriers that don't, and the BLS forecast implies the market has already decided which way the labor curve bends.
The interesting question for the AI market is not whether insurers keep deploying — they will — but which vendors survive the accuracy audit. Hallucinations on a claim summary are not a novelty demo failure; they translate directly into wrong payouts, bad-faith exposure, and regulatory attention from state insurance commissioners. The vendors that win the next procurement cycle will be the ones that can show error rates, not just automation rates, and that gives an opening to companies willing to price reliability instead of speed. The adjusters' Glassdoor reviews are, in that sense, an early leading indicator of where the QA line will get drawn.
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