Employers Plan Major AI Expansion in Health Benefits, but Challenges Loom

Employers are gearing up for a major expansion of artificial intelligence (AI) in their health and benefits programs over the next two years, according to a recent Willis Towers Watson (WTW) survey. The study, which polled 312 employers representing about 4.6 million workers, found that 72% plan to embed AI into their benefits within the next two years, up from only 20% currently.

Jeff Chandler, North America commercialization leader for Health & Benefits at WTW, emphasized the practical applications of AI in this context: "AI is moving quickly from pilots to practical application in health and benefits, and employers are deliberate about where they expect it to deliver value." However, he also noted that ambition alone isn't enough; scaling AI responsibly requires a solid foundation.

Addressing Key Priorities

The survey highlighted several areas where employers see AI making a significant impact. Improved communication was cited by 68% of respondents as a key area for AI support. Data insights and analytics followed closely, with 59% of employers expecting AI to enhance their ability to analyze data. 57% believe AI will enable greater personalization in benefits programs.

These priorities reflect the potential for AI to transform how benefits teams make decisions and support employees. For instance, personalized communication can help ensure that employees receive relevant information about their health plans, while data analytics can identify trends and gaps in coverage that might otherwise go unnoticed.

Despite this optimism, there are significant challenges on the horizon. The survey revealed a gap between employers' ambitions for AI and their readiness to implement it effectively. Seventy-one percent of benefits teams reported having "limited or no access" to the internal resources and skills needed to deploy AI, even when those resources may exist elsewhere within the organization.

Data privacy and security emerged as major concerns, with 70% of respondents citing these issues as significant barriers. Other worries included AI errors (66%) and legal compliance and fiduciary exposure (64%). These concerns underscore the need for careful planning and robust safeguards to ensure that AI implementations are both effective and ethical.

Points to Watch

As employers move forward with their AI initiatives, several points will be critical to watch. First, addressing the skills gap is essential. Employers may need to invest in training or hire new talent to build the necessary expertise for successful AI deployment. Collaboration between different departments within an organization can also help bridge this gap.

Second, ensuring data privacy and security must remain a top priority. Employers will need to implement strong data governance practices and comply with relevant regulations to protect employee information. Transparency about how data is used and protected will be crucial in building trust among employees.

Finally, the ethical use of AI should be a guiding principle. Employers must consider the potential for bias and ensure that AI systems are fair and equitable. Regular audits and oversight can help identify and mitigate any unintended consequences.

The integration of AI into health and benefits programs holds promise for improving employee well-being and reducing costs. However, achieving these goals will require careful planning and a commitment to addressing both technical and ethical challenges. As employers navigate this landscape, the responsible use of AI will be key to realizing its full potential.