Gen Z Is Relying on AI to Decode Employee Benefits—Here’s What Employers Need to Know
Inflation is squeezing household budgets, and for Gen Z workers, the stress of choosing the right employee benefits has reached a breaking point. A new study from The Hartford, a leader in employee benefits solutions, reveals that 17% of U.S. Workers—disproportionately Gen Z—are now using AI tools like ChatGPT to guide their benefits decisions during open enrollment. With 94% of Gen Z users reporting trust in AI recommendations, this isn’t just a passing trend. It’s a signal that the workplace is evolving faster than HR strategies can keep up.
For employers, this shift raises critical questions: How reliable are AI tools for benefits advice? What does this say about the digital literacy gap in the workforce? And perhaps most importantly, how can companies ensure transparency and trust in an era where algorithms are shaping financial decisions?
Key Findings: AI’s Role in Benefits Decisions
- 17% of U.S. Workers used AI tools (e.g., ChatGT) to help with benefits decisions during the most recent open enrollment period, according to The Hartford’s Future of Benefits Study.
- Over half of AI users were Gen Z workers, reflecting the generation’s comfort with—and reliance on—digital tools for complex decisions.
- 94% of Gen Z AI users trusted the recommendations provided by AI, suggesting a high perceived accuracy—or at least, a willingness to act on AI-generated advice.
- 43% of all workers admitted uncertainty about choosing the right benefits, with younger employees more likely to seek external guidance.
While these statistics highlight a growing trend, they also underscore a broader challenge: Are AI tools filling a gap in employer-provided support, or are they creating new risks?
Why Gen Z Is Leading the AI Benefits Charge
Gen Z’s adoption of AI for benefits decisions isn’t just about convenience—it’s about agency. Raised in an era of instant information and algorithmic personalization (think Spotify playlists or TikTok recommendations), this generation expects tools that simplify complexity. When faced with dense benefits paperwork, confusing medical plan jargon, or the financial weight of inflation, AI offers a low-friction alternative.
But there’s a catch: Gen Z is also the most skeptical of AI’s broader implications. A recent Gallup poll found that while younger workers embrace AI for practical tasks, they express growing unease about its impact on creativity, job security, and long-term trust. This duality—using AI for personal gain while questioning its ethics—might explain why Gen Z is both the earliest adopter and the most critical consumer of AI tools.
“American workers are getting benefits information from more sources than ever before—HR portals, colleague advice, and now AI.”
The Risks: Accuracy, Bias, and Accountability
AI’s entry into benefits decision-making isn’t without controversy. Here are the key concerns:
- Data Limitations: AI tools like ChatGPT rely on publicly available information. If a company’s benefits plans aren’t documented online—or if the AI’s training data is outdated—the recommendations may be incomplete or misleading.
- Bias in Recommendations: Algorithms trained on historical data can inadvertently favor certain demographics (e.g., higher earners or older workers) over others. For example, an AI might recommend a high-deductible health plan based on average usage data, without accounting for a Gen Z worker’s unique financial constraints.
- Lack of Human Oversight: When a worker acts on AI advice and later faces a claim denial or unexpected cost, who’s accountable? The AI provider? The employer? The worker themselves?
- Privacy Concerns: Entering personal benefits details into an AI tool raises questions about data security. Are responses encrypted? Who has access to the input?
These risks aren’t theoretical. In 2025, a Consumer Financial Protection Bureau (CFPB) report flagged similar issues with AI-driven financial advice, noting that 30% of users reported incorrect recommendations when cross-referencing with human advisors. While benefits decisions aren’t as high-stakes as retirement planning, the principle remains: AI should augment, not replace, human expertise.
How Employers Can Adapt
So what’s the playbook for employers? The answer lies in transparency, integration, and education:
- Audit AI Tools: If employees are using external AI tools, employers should evaluate their accuracy by testing them with sample benefits scenarios. Tools like OpenAI’s API or Google’s Vertex AI can be customized to align with company-specific benefits data.
- Build Trusted Internal AI: Instead of relying on third-party tools, employers can develop internal AI assistants trained on their exact benefits plans. This ensures consistency and reduces misinformation.
- Bridge the Digital Divide: Not all employees are comfortable with AI. Offer multi-channel support, including human advisors, video tutorials, and AI chatbots, to cater to different preferences.
- Educate on AI’s Limits: Clearly communicate that AI provides guidance, not guarantees. Employers should direct workers to human resources for complex or high-stakes decisions.
- Monitor Usage Patterns: Track which benefits questions employees ask AI tools to identify gaps in employer-provided resources. For example, if AI is frequently consulted about FSA contributions, it may signal a need for clearer communication.
Early adopters like Mercer and Wells Fargo are already piloting AI-driven benefits platforms. Mercer’s Benefits AI Assistant, for instance, uses natural language processing to explain plan options in plain English—a feature Gen Z workers have explicitly requested.
FAQ: AI and Employee Benefits
1. Is using AI for benefits decisions legal?
Yes, but employers must ensure compliance with labor laws like the Employee Retirement Income Security Act (ERISA), which requires clear communication of benefits information. AI tools should not replace required disclosures.
2. Can AI replace HR advisors entirely?
No. While AI can handle routine questions, complex issues—such as medical claim disputes or financial hardship accommodations—require human judgment. The goal should be hybrid support.
3. How accurate are AI benefits recommendations?
Accuracy varies. A 2025 study by RAND Corporation found that AI tools matched human advisor recommendations 78% of the time for standard benefits questions, but accuracy dropped to 55% for nuanced scenarios (e.g., comparing HSA vs. FSA options).
4. What’s the biggest mistake employers make with AI and benefits?
Assuming AI is a plug-and-play solution. Many companies roll out AI tools without training employees on how to use them effectively or verifying the AI’s alignment with their benefits structure.
The Future: AI as a Co-Pilot, Not a Captain
Gen Z’s embrace of AI for benefits decisions is a microcosm of a larger trend: the workplace is becoming more self-service and data-driven. By 2027, Gartner predicts that 60% of large employers will integrate AI into HR and benefits platforms—not to replace human roles, but to free up advisors for higher-value interactions.
For Gen Z, this shift is about control. They want tools that work for them, on their terms. For employers, it’s about adaptation. The companies that thrive will be those that leverage AI to democratize benefits knowledge while maintaining the human touch that builds trust.
**Key Takeaway:** AI in benefits isn’t a fad—it’s a reflection of how younger workers expect to interact with their employers. The question isn’t whether to adopt AI, but how to do it responsibly.