Many low- and middle-income countries are experiencing youth surges. Young populations are not only digital natives but innovation drivers—AI is emmeshed in and influences their life and life decisions. Yet, they often face unequal access to the digital tools, training, and platforms that could power health and climate solutions from the ground up. At the same time, aging societies face growing gaps in long-term care, chronic disease management, and labour force participation. AI-enabled elder care, home health monitoring, and robotic support offer potential solutions—but raise questions about data ethics, human dignity, and intergenerational workforce displacement.

Digital health, surveillance technologies, and planetary monitoring systems are increasingly critical to anticipating and managing climate-health risks. But inequities in digital infrastructure, data sovereignty, and AI governance can are are deepening the divide between high- and low-capacity health systems and between generations. Key questions remain. Who governs how health data are collected and used? How do we ensure older adults, marginalized groups, and future generations are not digitally excluded or exploited? How do we ensure technologies serve social and planetary goals, not just commercial ones? 

In this session, we’ll explore the dynamic interplay between rapid AI evolution and demographic transitions, and how differentiated demand and use of AI and digital tools across the generations are shaping the design and deployment of digital technologies for health and climate.