The future of health, wealth, and longevity services hinges on a collaborative approach between governments, healthcare providers, health and long-term care insurers, employers, and technology companies. This shift is driven by ageing populations and declining birth rates, prompting governments to explore new funding models and flexible retirement options to improve well-being and reduce economic inactivity. Platform-based technologies will play a crucial role in integrating services, enabling data sharing and exchange of goods and services, and offering tailored solutions that promote healthy ageing and financial well-being. This integrated ecosystem will empower individuals to make informed decisions about their health, wealth, and longevity.

The world in 2030 
 

• Focus on prevention and well-being: Health system partners invest heavily in preventative care and well-being initiatives to promote healthy ageing, reduce demand and costs of healthcare, enhance workforce productivity, and reduce economic inactivity. As employers, they foster inclusive workplace well-being cultures through flexible work arrangements, continuous learning and in supporting physical, mental, and financial health.
• Engaging and retaining employees: Employers identify potential risks like employee burnout and address the root causes of absenteeism and turnover. They utilise predictive analytics and big data to develop targeted well-being initiatives that are crucial for attracting and retaining talent, supporting return-to-work, and enable individuals to remain economically active beyond traditional retirement age.
• Reimagining health insurance and pension policy design: AI and big data have revolutionised health and financial protection enabling the analysis of vast health related data sets, identifying trends, and predicting costs, leading to tailored, technology-enabled solutions, such as InsureTech and AgeTech, lowering costs and improving health outcomes.   
• Public and private stakeholders partner to improve health equity: System partners engage actively with local communities, supporting health and financial literacy initiatives, promoting well-being and narrowing the health-wealth gap between income groups. 

Overcoming cross-cutting constraints

There are several cross-cutting constraints that could affect the prediction (not having the right skills and talent, funding models, approach to regulation, and data governance in place). The prediction can be realised by turning the constraints into enablers by:

• Investing in continuous learning to upskill and retrain individuals, in digital skills and data security and co-create strategies to support people to remain healthy and financially secure as they age 
• Embracing regulations to improve consumer protection and financial literacy, anti-fraud and discrimination. Regulations also incentivise system collaboration and adoption of tech-enabled innovation between financial, medical and social services
• Building secure and interoperable data platforms, with robust cybersecurity measures, transparent data governance practices and user-friendly interfaces, to deliver personalised and effective health and wealth solutions. 
  

Evidence in 2024  
 

• AgeTech industry is growing rapidly: AgeTech refers to digital and mechanical technologies that aim to prolong physical wellness, housing, insurance, functionality and well-being of older adults and assist their caregivers, and in 2024 involved some 300 startups with the market estimated to reach US$2tn by 2025.  
• Mental health costs to employers: The cost to employers of poor mental health is £51bn per year in 2023, a decrease from £55bn in 2021, but an increase from £45bn in 2019. Presenteeism is the largest contributor (some £24bn annually). Importantly, an analysis of employee mental health interventions found that on average, for every £1 spent on supporting their people’s mental health, employers get nearly £4.70 back in improved productivity. Early interventions, such as organisation-wide culture change and education, provide the highest returns.
  

How AI/GenAI might enable healthier and wealthier ageing  
 

• AI can power customised wellness programmes and tailor insurance coverage based on individual health data. Integrated systems combining health records, insurance data and real time health metrics could provide a holistic view of a patient’s health, enhancing both preventive and acute care.
  
• GenAI models can analyse health data, genetics, and lifestyle factors to predict potential health risks, enabling personalised recommendations for nutrition, mobility, and brain health, leading to better outcomes and reduced economic inactivity.
• AI algorithms can assist individuals with financial planning, investment strategies, and wealth management, ensuring financial security during retirement.
• AI-driven platforms, and devices can combat loneliness by facilitating social interaction and enhancing independent living through tools like virtual companions, smart home devices, and accessibility aids.