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The machine that exposes the presenter!

When I watch AI presenters, I cannot initially distinguish easily between them and human presenters. The features are precise, the voices are calculated, the smiles are ready, and the tone of speech suggests unwavering confidence. But the real surprise does not lie in the fact that the machine has become like a human, but in that it has managed to resemble some presenters with all the monotony, repetition, and cliché questions in their performance. Here, the question is no longer whether artificial intelligence is capable of imitating the presenter, but why have some presenters become so easy to imitate?

A professional presenter is not a pretty face in front of the camera, nor a booming voice that masters the pronunciation of officials' names, nor a person who memorizes a long introduction and then distributes questions to their guests as if reading a shopping list. A real presenter is a mind that analyzes, curiosity that questions, a personality that interacts, and an ability to grasp what is hidden behind words. But when presenting turns into a mechanical performance, in which movements, tones, and questions are repeated, we are not facing a media profession as much as we are facing a show that can be programmed.

Consider the questions that are repeated in political programs: "Where are things heading?", "How do you read this move?", "What are the expected scenarios?". Questions suitable for all wars, crises, and elections, which can be moved from one episode to another without anyone noticing the difference in the subject, and perhaps without the guest themselves noticing that they heard the same question days ago. Then comes the introduction that drains minutes of the viewer's time, the comments that repeat what the guest said, and the conclusion that adds nothing but the announcement of the end of the episode.

The problem is not in these questions themselves, but in the fact that some of them have become a substitute for thinking. A presenter who does not listen to the answer, does not follow up on its contradictions, and does not confront their guest with what they said minutes ago, is not conducting a dialogue; they are waiting for their turn to read the next question. And this, most likely, is a task that a machine can perform without the need for a studio, a salary, or a commercial break.

The most ironic thing is that the artificial presenter may sometimes seem more disciplined than their human counterpart. They do not stumble over words, do not forget to transition between segments, and do not swallow words when time is tight. But they may also inherit the flaws of the model they imitate: memorized questions, repeated introductions, excessive confidence, and information that may be incorrect. Thus, we are not necessarily facing a smarter media, but an automated version of a media that did not put in enough effort to be smart in the first place.

Here lies the paradox: the technology that some media workers fear may not be robbing them of exceptional skills, but rather revealing that what they offer is replaceable. If the difference between the presenter and the machine is that the former breathes and the latter does not, then the problem is not in the development of the machine, but in the atrophy of the presenter's professional role.

The future of the human presenter will not be protected by their features, their tone of voice, or the number of years they have appeared on screen. It will be protected by what they know, how they think, and what they dare to ask. A presenter who does not read beyond the script, does not develop their knowledge, and does not possess the curiosity of a researcher will find themselves in a difficult competition with a machine that never tires of repetition. As for the one who can uncover a political contradiction, dismantle an official's rhetoric, or extract an answer that their guest is evading, they provide a value that cannot be reduced to the movement of lips.

What is required, therefore, is not to resist technology, but to resist the mediocrity that has made some presenters look like employees in a factory for ready-made questions. Media does not need more faces that talk, but minds that know why they are talking, what to ask, and when to be skeptical.

In the end, the most dangerous surprise of artificial intelligence may not be that it was able to imitate the human presenter, but that it made us discover that some presenters were imitating the profession from the beginning. And when the machine becomes capable of performing your role with the same questions, the same tone, and the same content, do not blame the machine for taking your place; ask yourself first: what were you offering that the machine cannot imitate?

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