AI is starting to leave its magic era behind, and that was inevitable. That is what happens with every major product wave. In the beginning, a product can be rough and objectively imperfect yet still create a sense of magic because it offers something so new and compelling that the flaws no longer matter. The first iPhone was quite bad by the standards of its time. But it felt like the future had landed in your hand. AI is in that phase right now. A lot of people are still paying as much for the feeling as for the product itself – for that sense of: how is this even possible? That emotional high does not last forever, and the questions become more practical: what do I actually need it for, and is it worth paying for? For a tech enthusiast like me, going deeper, testing, and refining is part of the fun. But people like me are not the market. Most people just want a clear result: the shortlist, the answer, the link, the task done. That is why I think AI is entering its product correction phase. Wonder is no longer enough. The winners from here will be the companies that stop selling magic and start delivering clear value in real, everyday use cases.