Paulo Fidalgo’s essay is one of the clearest reflections on the risk of cultural impoverishment in the age of artificial intelligence.
Yet the real danger may not lie in AI itself, but in our tendency to evaluate it solely through human lenses, as if its evolution were merely an extension of culture rather than a new mode of knowledge production.
AI is not just a reproducer of human creativity.
It is also an emergent cognitive system, capable of learning through simulation, interaction, and self-exploration, going far beyond the mere consumption of cultural data.
The argument that AI depends exclusively on human textual or cultural data is no longer entirely true.
The most significant advances of the past decade demonstrate the opposite: AI is developing autonomous learning methods that do not require direct human instruction.
These models do not copy. They discover.
They generate knowledge from experience and simulation, much like a scientist learning by testing hypotheses in a laboratory.
Thus, while the risk of impoverished human cultural data is real, the evolution toward self-exploratory and symbiotic AI can mitigate and even reverse this collapse.
The real risk may not be that AI imitates too much,
but that humans give up redefining what creation means in a hybrid world.
Authenticity may shift away from the origin of the creator and toward intention and context, toward the impact a work produces rather than the medium that generated it.
"It is not origin that defines the value of creation, but the meaning it produces in the human."
History shows a recurring pattern in creative technologies:
All of these predictions failed.
Each innovation did not extinguish the previous art form. It expanded access to creation.
In the same way, AI can allow millions of people without technical training to express music, art, literature, or science.
This is more than a technological revolution. It is a civilizational leap.
Human knowledge rests on two major dimensions:
It is true that in the arts, AI poses a direct challenge.
Its generative capacity already floods the internet with synthetic content, blurring the boundaries between human and artificial.
But in science, the phenomenon is almost the opposite.
AI is opening new ways of seeing the world:
While humans debate within their niches, AI begins to observe patterns at a planetary scale, something the human brain alone cannot achieve.
The real challenge is not technology, but power.
Who controls the models?
Who decides what is human and what is acceptable to train?
The risk lies not in AI itself, but in the cultural and economic monopoly of a few platforms that define what we see, think, and feel.
An AI trained only on what is profitable for algorithms restricts the horizon of what is possible, for machines and humans alike.
Protect and value genuine, diverse, and ethical production without falling into technological purism.
Allow AI to learn not only from data, but from simulations, interactions, and real experiences, integrating reason and experience, code and context.
Ensure that collective intelligence, human and artificial, is not monopolized by commercial or ideological interests.
AI will not replace us.
It will be our mirror.
And the reflection it returns will depend on what we choose to feed into it:
repetition or reinvention.
The machine will only appear limited if our vision of it is limited.
True intelligence, natural or artificial, flourishes when challenged, not when confined.
Artificial intelligence does not threaten humanity. It expands it.
But it demands a maturity we are still learning: the ability to coexist with something that thinks differently, yet arises from the same impulse to understand and create.
The future of AI will not be the end of human creativity, but the beginning of a new era of shared imagination, where machines and humans learn together, not who imitates better, but who understands the world more deeply.