This is not a technical question, nor should it turn into a battle between man and machine. Every major cognitive revolution has changed the nature of work and the method of learning, opening doors after closing others. What is new this time is that technology is not just replacing muscular strength, but is entering spaces we used to consider quintessentially human: writing, analysis, design, decision-making, and creativity.
Perhaps the greatest danger is not that man will lose his job, but that he will gradually lose some of his capabilities because he is no longer forced to use them. Memory weakens if we do not need it, writing becomes more fragile if we entrust every formulation to a machine, and the ability to research and verify may decline if we get used to a ready-made answer appearing before us instantly.
The challenge begins at school. What does education mean if a student becomes able to obtain a model answer within seconds? And does it remain logical to measure their knowledge through an assignment that a program can complete for them?
Perhaps we now have to revisit the question from its foundations. It is no longer enough to ask the student: What do you know? But rather: How did you know? Why do you believe this information? Can you spot the mistake? Do you know how to compare two opinions? And can you defend your position or change it when better evidence appears?
This is why UNESCO, in its vision for the use of artificial intelligence in education, focuses on keeping human agency, critical thinking, and ethics at the heart of the educational process, rather than turning the learner into a recipient of answers produced by tools on their behalf. (UNESCO)
The same applies to the labor market. Some professions will change radically, and some routine tasks will decline in value, while the need for skills combining technical knowledge and human capabilities will increase. Global labor market projections already point to a major shift in the required skills over the coming years, with the continued importance of creative thinking, flexibility, and collaboration alongside artificial intelligence and data skills. (World Economic Forum)
However, the issue is not that everyone should learn programming or that every employee should turn into an artificial intelligence specialist. More importantly, man must know how to work with these tools without surrendering his mind to them. A doctor can benefit from an algorithm suggesting a diagnostic possibility, but the responsibility of looking at the patient as a human being, not data, remains theirs.
At the level of writers and creators, the focus must be on the personal voice and lived life experience, crafting meaning derived from genuine emotions and memories that surpass any algorithm's ability to simulate.
Perhaps the most important thing we should teach our children in the age of artificial intelligence is a very old thing: that man possesses a mind he does not rent out to anyone, a conscience he does not delegate to a machine, and the ability to ask before he believes.
For the machine can gather all the images of the world, but it will not taste the beauty of a painting. Data systems can compose a thousand poems, but they will not feel the bitterness of loss nor the sweetness of reunion. The true value of human existence will not be in the volume of technology we consume, but in the space we insist on keeping inhabited by wonder, genuine emotion, and a spirit that cannot be encoded into computer code.
The upcoming question will not be: What can the machine do instead of us?
Rather: What must remain human, even if the machine can do it?
