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As AI Reshapes Aging, Access Will Determine Who Benefits

Haowei Wang

August 31, 2026

Portrait of Haowei Wang

Haowei Wang


September is Healthy Aging Month, and how we define and pursue healthy aging is quickly changing in the new era of artificial intelligence (AI).

AI is now part of disease prevention, diagnosis, treatment, rehabilitation, and long-term care for older adults and their families. Many of us are already using it, often without noticing. When you search for a health question or book an appointment online, an AI chatbot is often the first to answer.

AI is also driving rapid developments in the science of aging. Large language models (LLMs) are opening new paths for discovery. Researchers are using AI to spot early biomarkers of aging, find promising drug targets, and design new therapies for age-related diseases. Social scientists like me are applying these tools to data from wearables, social media, and electronic health records to measure health risks, design better ways to support behavior change, and understand how family ties and close relationships shape our health as we age. In my own research, I study how caregiving and close relationships shape wellbeing as people age, questions LLMs now let us explore in far greater depth.

Healthy aging in this new era will depend not only on how powerful these tools become, but on how fairly we share them.

Haowei Wang

Assistant Professor of Sociology

However, these exciting advances are only half the story. Alongside familiar worries about privacy, autonomy, and hidden bias, AI is becoming a new social determinant of health. Its benefits do not reach everyone equally. Digital literacy tends to follow and deepen existing disparities in race and ethnicity, education, income, and location. These gaps are global as well as local. Many of the countries with the fastest aging populations have the least access to these tools. AI could widen inequalities both within and between nations. Unless we work to close these gaps, the people who could gain the most from AI may be the last to actually receive the benefit.

Older adults are especially at risk of being left out of the health benefits of AI, due to limited internet access, fewer devices, less familiarity with digital tools, and understandable hesitation about change. AI-assisted fall detection and prevention, home safety monitoring, and remote connection with family members and health providers have improved older adults' quality of life. Yet these tools remain out of reach for much of the aging population.

As a health and aging researcher, I feel both excitement and worry. I am genuinely excited about what AI can do for older adults, and I am also genuinely concerned about who might be left out. Healthy aging in this new era will depend not only on how powerful these tools become, but on how fairly we share them.

Lerner Center for Public Health Promotion and Population Health