This reflection extends Human Foundations — the difference between what a person produces and what a person is worth.
Modern institutions often evaluate people through what they produce. Employees are measured through performance. Students are measured through results. Businesses are measured through growth. Even personal habits are increasingly tracked through numbers and targets.
Artificial intelligence may intensify this tendency because it makes performance easier to compare, predict and optimise. When productivity becomes more measurable, human value can quietly become confused with useful output.
This creates a difficult question: What happens to people whose contribution cannot be easily measured — or whose ability to produce is temporarily or permanently limited?
Children, older people, caregivers and people experiencing illness may not generate the kind of output that economic systems reward. Yet they remain fully valuable human beings.
Even within the workplace, some of the most important contributions are not immediately visible. A colleague may create emotional stability during a crisis. A mentor may help another person develop over several years. A leader may protect the organisation from an unethical opportunity whose financial benefits would have been easy to measure.
The danger is not simply inaccurate measurement. It is allowing measurement to define what counts as worthy.
As AI increases productivity, society may face an unexpected moral challenge. If machines can produce more with fewer people, human beings may need a stronger foundation for dignity than employment alone. Organisations should use AI to expand human possibility rather than divide people into those who are economically useful and those who are not.
This requires leaders to recognise forms of contribution that may not appear on a dashboard: care, courage, patience, integrity and the ability to bring people together. Technology can help us become more productive. It should not decide who deserves dignity.
Human beings should not have to prove their usefulness before they are treated as valuable.