Alan Daitch, a recognized entrepreneur and AI specialist, argues that the key to achieving better results from ChatGPT does not lie in the user's academic level or technological experience. According to a study from MIT analyzed by Daitch, the true differentiator is the ability to collaborate. "Being good at problem-solving and being good at using artificial intelligence are distinct skills," he states. Collaborative ability, measured through the Theory of Mind (ToM)—the capacity to understand and adapt to the intentions of others—is essential for effectively interacting with generative AI systems. The study evaluated users in areas such as Mathematics, Physics, and moral reasoning, concluding that those who demonstrated higher ToM received more accurate and useful responses from AI. Daitch emphasizes that this social skill does not necessarily improve individual work but enhances interaction with artificial intelligence. Thus, the belief that AI is only leveraged by those who master programming or advanced logic is debunked: social intelligence emerges as the most valuable resource. The research observed that more collaborative users provided context, explained their needs, proposed joint plans, and asked follow-up questions, resulting in more complete and tailored responses. In contrast, those who interacted mechanically, merely copying and pasting questions, received less satisfactory results. Treating AI as a work partner, with whom one dialogues and negotiates, proves to be much more effective than viewing it as a mere automated tool. On another note, a report from Bain & Company cited by Marketing News and collected by lavanguardia.com reveals that while 95% of companies in the United States and Europe already use generative AI, only 35% of consumers acknowledge using it, often without being fully aware. The study identifies five user profiles: "enthusiasts" (19%), who seek productivity and learning; "hobbyists" (12%), who use it out of curiosity or for entertainment; "cautious but curious" (32%); "emerging explorers" (10%); and "outright rejecters" (17%), who distrust or avoid AI. The pattern is clear: those who benefit most from artificial intelligence are not necessarily the most expert, but rather those who know how to collaborate with it best.