By Roberto Pili

As 2026 begins, one conclusion is hard to escape: artificial intelligence will dominate the public conversation, not as a novelty, but as an organising force. Healthcare, labour, education, public policy—few areas remain untouched. Longevity is no exception.

Choosing to remain outside these systems is no longer a neutral or cautious stance. It increasingly means falling behind societies that are already integrating AI into prevention, clinical decision-making and population health strategies. Artificial intelligence has moved beyond experimentation. It now functions as infrastructure—largely invisible, yet deeply consequential.

The real issue, therefore, is not whether AI will affect how long we live.
It is how deliberately, ethically and intelligently we choose to use it.

Longevity beyond life expectancy

For much of the twentieth century, progress in medicine was measured in years added to life. That measure is no longer sufficient. What matters now is healthspan: the proportion of life spent in good physical, cognitive and social health.

This distinction is fundamental. A longer life without autonomy, clarity or purpose is not an obvious success. Artificial intelligence has value only insofar as it contributes to better living, not merely extended survival.

What AI is already doing

Much of this debate risks sounding speculative, yet the reality is firmly grounded in the present.

AI systems are already analysing blood markers, imaging data and biological signals to identify early indicators of age-related disease—often well before symptoms emerge. This allows for earlier, less invasive interventions.

At the same time, machine learning is reshaping pharmaceutical research, accelerating the identification of compounds that target chronic inflammation, oxidative stress and cellular damage. Timelines once measured in decades are now compressed dramatically.

Equally significant is the shift from periodic medical check-ups to continuous monitoring. Wearable devices collect vast amounts of data on sleep, heart rate and physical activity. When interpreted responsibly, this data supports prevention rather than reacting to crisis.

Personalisation, not immortality

The real breakthrough is not the promise of extreme longevity. It is the ability to design personalised prevention and care pathways.

Two individuals of the same age, with similar clinical results, may require entirely different strategies. AI excels at recognising subtle variations and complex interactions that escape conventional assessment. Used properly, it reduces unnecessary interventions and improves relevance.

Yet this technical capacity brings us to a deeper concern.

The overlooked risk of ageing

Public discussion of ageing tends to focus on physical decline. In practice, a more significant risk often emerges: the gradual loss of agency.

Many older adults understand perfectly well what would improve their health—regular movement, balanced nutrition, social engagement, adherence to therapy. The difficulty lies not in knowledge, but in initiating action and sustaining it over time.

It is in this gap between knowing and doing that ageing turns into fragility.
If applied thoughtfully, AI could help here—not by replacing human judgement, but by supporting continuity, motivation and informed choice.

Ethical and social limits

These developments are not without serious risks.

There is a growing danger that longevity becomes unequally distributed, accessible primarily to those with economic and technological advantage. Biological data is rapidly becoming a valuable commodity, raising urgent questions about governance, ownership and trust. There is also a cultural risk: framing ageing as a technical failure to be corrected rather than a life stage to be supported.

These are not secondary concerns. They define whether AI serves society or exacerbates existing divides.

Technology needs foundations

For all its promise, AI cannot replace the fundamentals.
Balanced nutrition, regular physical activity, meaningful relationships and a sense of belonging remain central to healthy ageing. Technology can strengthen these foundations, but it cannot substitute for them.

A necessary reframing

The question we should resist asking is, “How can we avoid death?”
A more constructive question is: “How can we build lives that remain worth living as they become longer?”

Artificial intelligence may help many of us reach advanced ages.
How we arrive there—socially, ethically and humanly—remains a matter of collective responsibility.

Technology may extend life.
Meaning, however, cannot be automated.