Future Proofing the Longevity Economy 2025

0 20 40 60 80 100 0 20 40 60 80 100General Development and implementation of AI in generalAI development and implementation How risky do you think it is? How beneficial do you think it is? Finance-related applications Use of AI-powered tools for managing personal finance, managing investment and planning for retirement Social interaction and information flow Use of AI to produce, personalize and distribute information; to recommend social connections; or to provide social companionship Healthcare and caregiving Use of AI to analyse health data and support clinical decisions; or to help carers detect and predict health changes in their loved ones Community and infrastructure Use of AI-enabled technologies as mobility solutions; use of AI to design and monitor communities and infrastructure systems Workplace, benefits and career Use of AI in hiring and personalized benefits enrolment; use of AI-enabled tools and machines to stand in for some human labour Not at all A little Somewhat Quite Extremely SOURCE: MIT AgeLab. (2021). AI and longevity: Consumer and expert attitudes toward the adoption and use of artificial intelligence. https://agelab.mit. edu/static/uploads/mit-agelab-ai-longevity_wp-04-21-1357_ada.pdfAdapting careers for longevity As career trajectories evolve, technology is playing a crucial role in supporting workforce participation at all ages. Automation and robotics are increasingly supplementing human labour, enabling individuals to remain in physically demanding roles for longer with the aid of assistive technologies. The global workforce is also experiencing a shift in learning approaches, with digital reskilling programmes helping older workers stay competitive. Ensuring inclusive technology adoption Bias remains a critical concern, as AI models trained on non- representative or incomplete data risk perpetuating inequities. Companies also need to carefully consider how age bias may influence hiring and workplace technology adoption, particularly in AI-related roles, where assumptions about digital fluency could contribute to exclusionary practices.45 Beyond bias, AI-driven scams, misinformation and opaque decision-making processes also present risks, underscoring the need for responsible AI governance and safeguards. A path forward: Integrating technology for a thriving longevity economy While there are risks associated with AI, harnessing technology effectively could also potentially improve financial resilience, support better health outcomes and enable meaningful work opportunities throughout extended lifespans. Public perception of AI remains largely optimistic – the recent MIT AgeLab data shown below suggests that most individuals believe its benefits outweigh the risks. By integrating technology in a deliberate and inclusive manner, societies can be better positioned to build a longevity economy that empowers individuals at every stage of life. FIGURE 5: Perceptions of risks and benefits across AI domains Future-Proofing the Longevity Economy: Innovations and Key Trends 2222