What will longevity mean to us if it encounters AI? During the SIRI Practicum course, I am on a journey through Taiwan’s AI-enabled longevity industry. This project is situated at the intersection of the longevity economy, AI, and sustainable finance, focusing on how investment capital can be mobilized to address system-level challenges in aging societies.
After our first meeting with the client, our team and I have a deeper understanding of the sector we are working in. Our client, who brought us many key insights, encouraged us to think broadly and never constrain ourselves to one certain scope when we are dreaming big. Rather than treating longevity as a single-industry issue confined to healthcare or technology, the project aims at aging as a complex socio-economic system shaped by many factors. As societies evolve, the gap between aging and optimal aging becomes clearer and broader. People no longer just chase living a longer life, but also how to live a life with long expectancy and remain in a satisfying condition. This could bring infinite benefits to all walks of life in Taiwan, as well as a huge burden on the healthcare systems, caregiving capacity, and technology innovation.
One significant feature of this project is its investment-oriented and system-based approach. Instead of doing simple paper research or evaluating certain technology feasibility, our work places at the heart of identifying leverage points within the longevity ecosystem with AI-enabled interventions, which are likely to drive key scalable innovations in the coming future. Our analysis will not only assess whether the involvement of AI is beneficial or not, but also whether these branches are investable, indicating that they have practical value and are operable to achieve, thus drawing a blueprint map for their future. What excites me in this journey is that I am curious about how impact measurement functions as a bridge between social value and capital allocations for the longevity sector in Taiwan. In many previous longevity-related initiatives, impact is a huge term and many are still at the early stage, discussing the policy tendency and implementation plausibility, especially with the intersection of AI, which lacks a solid sound for investment decision-making. Through this practicum course, I expect to develop a more nuanced understanding of how outcome metrics, such as optimal life improvements, cost avoidance can be translated into investment indicators and reduce uncertainty for the future market.
Last but not least, I see this experience as an opportunity to deepen my knowledge of applied systems mapping in real-world finance and policy contexts. AI and longevity are heated topics not only in Taiwan these days, but what is the beauty when we combine them? Engaging with these challenges highlights the importance of working with limited data, stakeholders incentives in a developing industry. I expect this one-semester consulting experience can strengthen my ability to connect strategic analysis with unfamiliar professional domains, and to think more critically about how capital can be structured to support long-term societal resilience.