Longevity: Beyond simply living longer: living a long and healthy life.
These words have become familiar: live to 100. But can we really go beyond 100?
The current global average life expectancy is about 73 years. One hundred seems farther away than we think. Yet there’s already abundant data to extend it. We can measure biological age, predict disease risk, and receive personalized health recommendations. AI is calculating “how long can we live?” with increasing precision.
Strangely, though, the question “How should I live?” remains elusive. Perhaps what we lack is not information, but the right questions.
AI is rapidly advancing in the field of longevity.
In Denmark, a study trained an AI model on the life data of 6 million people to predict individual mortality probabilities.¹⁾ The model analyzes life events—including health records, occupation, income, and education—to calculate life expectancy. Measuring biological age is also becoming more sophisticated. Technology now synthesizes kidney function, metabolic indicators, and body composition to determine a “body age,” distinct from chronological age.²⁾
AI goes beyond assessing current health. It predicts risks before disease onset and suggests personalized preventive strategies, shifting the medical paradigm from treatment-centered to prevention-centered.³⁾
But does living longer mean living well?
The longevity field now distinguishes between lifespan and healthspan—highlighting the importance of not just living longer, but living longer and healthier. Even healthspan, however, isn’t the same as quality of life.
Research at Yale University found that people with a positive perception of aging lived 7.6 years longer than those with a negative perception.⁴⁾ This effect exceeded that of exercise, quitting smoking, or managing blood pressure and cholesterol.⁵⁾
Ultimately, factors beyond numbers—life meaning, relationships, and mindset—also influence lifespan. Can AI measure these?
AI is providing increasingly precise answers to “How long can we live?”—predicting life expectancy, assessing disease risk, and estimating biological age. Things once invisible are now measurable.
The questions we ask must now evolve. Not just “How long?” but “How should I live long?” AI hasn’t changed the answers, but it has changed the starting point.
As technology calculates lifespan more accurately, we can finally focus on the direction of our lives. We can check our lifespan with data and decide for ourselves how to live.
AI gives us data. But how we live remains our responsibility.
The Future asks the same question. That’s why we develop AI technologies: to measure biological age, track daily health in real time, and suggest foods and habits tailored to each body through behavioral analysis. We aim to answer “How to live long?” with AI and technology.
In an era where AI calculates lifespan, the question is now ours: not just how long, but how to live long. The Future provides guidance through technology.
Reference
Savcisens, G. et al. (2024). "Using sequences of life-events to predict human lives." Nature Computational Science.
Jeong, C. et al. (2025). "Biological Age Prediction Using Comprehensive Health Checkup Data." JMIR Aging.
"The arrival of AI in medicine is like the dawn of the internet." Harvard Gazette. (2025)
Levy, B. et al. (2002). "Longevity Increased by Positive Self-Perceptions of Aging." Journal of Personality and Social Psychology.
"Thinking Positively About Aging Extends Life More than Exercise and Not Smoking." Yale News. (2002)
