Imagine asking an artificial intelligence system which candidate to hire, which content to show, or which path to follow. At first, it looks like nothing more than a tool that helps us decide faster. In reality, today AI is no longer used only to support human decisions. More and more often, it takes on the role of an authority that defines what is valid, what matters, and what is considered “normal.”
The shift is not only about who makes decisions, but about how their legitimacy is built. When a choice is produced by a model, it is often accepted as objective, technical, and neutral. Yet models do more than predict outcomes. They shape the criteria by which we judge truth, relevance, and appropriate behavior. In practice, they don’t just tell us what will happen, but also what is worth paying attention to.
In this process, power slowly begins to move. It is no longer concentrated only in visible institutions such as governments, corporations, or public authorities, but embedded in complex and opaque systems that sit beneath our everyday actions. Because they are largely invisible, these systems can become pervasive over time, extending their influence even into the cultural sphere. Many common AI tools present themselves as neutral, but in fact they reflect the choices, values, and worldviews of those who designed, trained, and funded them.
So the real question is no longer whether artificial intelligence exercises some form of governance, an idea that might once have sounded exaggerated. The central issue is understanding how governance is turning into infrastructure: something invisible, built into daily processes, and difficult to challenge precisely because it no longer looks like explicit control. This is where power becomes most effective, and at the same time hardest to recognize and contest.
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