Insurance companies have poured resources into artificial intelligence to speed up claims processing, but a new analysis of employee feedback reveals a severe disconnect. Nearly all claims adjusters who discuss these tools in online reviews voice deep frustration, with 98% of comments carrying a negative tone.

What You Need to Know

A Glassdoor review analysis shows that claims adjusters working for insurance companies overwhelmingly dislike the AI tools their employers have introduced. Workers say the systems are unreliable, add extra steps to their workflows and make it harder to serve policyholders effectively. The finding underscores a growing backlash against rushed AI deployments in the insurance industry.

The Glassdoor Analysis

Researchers reviewed thousands of Glassdoor posts from claims adjusters across major insurance carriers. They found that among reviews mentioning artificial intelligence, an overwhelming 98% were negative. This marks the highest rate of criticism among all occupations surveyed in the same analysis.

Adjusters frequently reported that company leadership pushed AI tools without adequate testing or training. The systems, designed to automate parts of the claims process, often introduced errors or required time-consuming workarounds. Workers described them as counterproductive additions that hurt rather than helped their daily tasks.

Why Adjusters Are Frustrated

The core complaint centers on a gap between executive promises and operational reality. Insurance executives have promoted AI as a way to cut costs and speed up settlements. But on the ground, adjusters say the tools create more problems than they solve.

  • Unreliable outputs: AI systems frequently misclassify claim details, forcing adjusters to manually verify every decision.
  • Slower service: Workers report that AI tools add extra review steps, delaying payouts to policyholders.
  • Poor integration: Many platforms do not connect smoothly with existing claims software, creating double data entry.

The pattern extends beyond individual companies. Analysts say the insurance industry is repeating mistakes seen in other sectors where AI adoption was pushed topdown without frontline input.

Why This Matters

If claims adjusters continue to reject the AI tools their employers impose, two consequences are likely. First, customer service will suffer as frustrated workers struggle with systems they do not trust. Second, the promised efficiency gains will fail to materialize, wasting the millions of dollars insurance carriers have spent on AI licenses and infrastructure. The risk extends to regulatory oversight: if automated decisions lead to errors in claims handling, state insurance commissioners may demand greater scrutiny of AI driven processes.

For policyholders, the immediate impact is slower claims and more friction when filing for coverage. The longer the distrust persists, the harder it becomes for insurance companies to justify their AI investments to shareholders and customers alike.

What Needs to Change

Experts argue that the solution is not to abandon AI but to implement it differently. Insurance companies must involve adjusters in tool design, run more rigorous pilot programs and ensure systems augment rather than replace human judgment. Without those changes, the 98% negativity rate is unlikely to improve.