AI Benefits Advice Costs Employees Thousands, Posing New Risks for Employers

NEW YORK, NY – May 19, 2026 – A burgeoning reliance on general artificial intelligence tools for complex health and benefits decisions is creating a significant financial fallout for American workers. A new report reveals that while employees embrace AI for its simplicity, they are often met with inaccurate advice that leads to unexpected out-of-pocket costs, in some cases exceeding $2,500. This trend is creating a new and urgent challenge for employers, who may find themselves accountable for the costly errors of these third-party tools.

The findings, detailed in the report "Confident and Wrong: The Benefits Accuracy Crisis Hiding in Plain Sight" by AI-powered benefits platform Nayya, paint a stark picture. Based on April 2026 surveys of nearly 1,000 U.S. employees and over 100 HR professionals, the research found that an overwhelming 90% of employees are already using general AI tools for health or financial questions. The problem is, more than half of them (51%) found the advice they received wasn't completely right.

The AI Trap: A Costly Shortcut for Employees

The appeal of using general AI for benefits guidance is undeniable. According to Nayya's research, 98% of employees say AI is easier to understand than their official plan materials, which are often dense, jargon-filled, and difficult to navigate. In a world where instant answers are expected, turning to a conversational AI seems like a logical shortcut to bypass confusing portals and long hold times with HR.

However, this convenience comes at a steep price. The core issue is that general-purpose AI models, such as the popular large language models available to the public, have no visibility into the specifics of an individual's or an employer's benefits plan. They cannot see an employer’s network of doctors, its prescription drug formulary, or the unique cost-sharing structure of its insurance plans. Instead, they provide answers based on vast datasets of how insurance generally works, not how a specific employee's plan actually works.

This gap between generic information and personalized reality is where employees fall into a financial trap. The report found that more than one in four employees who followed incorrect AI guidance faced unexpected costs of $100 or more. For some, the financial hit was catastrophic, with losses climbing above $2,500 after following advice about coverage or providers that turned out to be inaccurate for their plan. They were confident in the advice, but the advice was wrong.

A Looming Crisis for Employers

While employees bear the immediate financial brunt, the report reveals a looming crisis for their employers. A critical disconnect exists: employees who receive bad advice largely hold their employer accountable, yet many employers assume their workers will verify information independently. These uncommunicated, opposing assumptions are setting the stage for a collision, especially as open enrollment season approaches.

This disconnect extends into a complex legal and ethical quagmire. Under the Employee Retirement Income Security Act of 1974 (ERISA), employers have a fiduciary duty to act in the best interests of their plan participants. Legal experts warn that this responsibility can be inadvertently triggered by AI. If an AI tool is perceived as providing guidance or interpreting plan language—rather than just providing information—it could be considered a "functional fiduciary," potentially making the employer liable for its inaccurate advice.

Legal precedent suggests that simply adding a disclaimer—a common practice for many software tools—may be insufficient to absolve an employer of this duty if an employee reasonably relies on the information provided. The risk is amplified as employees increasingly treat AI as a de facto representative of their benefits options. This puts HR leaders in a precarious position, where they must manage the risks associated with tools they do not control but whose consequences land at their doorstep.

Generalists vs. Specialists: Not All AI Is Created Equal

The "Benefits Accuracy Crisis" underscores a fundamental distinction in the world of artificial intelligence: the difference between general-purpose models and specialized, purpose-built platforms. General AI is a powerful tool for broad tasks, but its tendency to "hallucinate"—or invent facts—and its lack of contextual data make it dangerously unsuited for high-stakes, personalized decisions.

In contrast, specialized AI platforms are engineered specifically for the complexities of benefits administration. These systems integrate directly with a company's Human Resources Information System (HRIS), carrier data, and payroll systems. By accessing the actual plan documents, claims history, and personal data (with consent), they can provide guidance that is not only personalized but also accurate and actionable within a secure, compliant framework that adheres to regulations like HIPAA.

"Employees have decided that AI is how they navigate their benefits. That's not going to change," said Sarah Liebel, CEO of Nayya, in the report's press release. "What employers can control is whether the version their people are relying on was actually built for this."

This shift toward specialized solutions is evident across the HR technology market. Major providers like Workday, ADP, and Oracle are embedding their own forms of AI agents into their platforms to streamline workflows and provide decision support. The goal is to move beyond generic answers toward an ecosystem where AI can securely and accurately help employees enroll in programs, file claims, and maximize their health and financial benefits.

As organizations race to adopt AI, the central challenge is not whether to use the technology, but how to deploy it responsibly. The widespread, unsupervised use of general AI by employees for benefits advice is a clear signal that workers are desperate for better guidance. For employers, ignoring this trend is not an option. The path forward requires a proactive strategy to provide tools that are not only easy to use but are also fundamentally accurate, safe, and built for the deeply personal nature of employee benefits.