Consumo excessivo de informações e seus efeitos na cognição e bem-estar mental

The excessive consumption of information, amplified by hyperconnection and the abundance of digital stimuli, has become one of the main contemporary challenges for cognition and mental health. This article analyzes the relationship between information overload and the symptoms of stress and anxiety, increasingly prevalent phenomena in digital societies. The objective is to understand the effects of information excess on cognition and to discuss the possibilities of mitigation offered by generative artificial intelligence, especially large language models (LLMs). The methodology adopted was qualitative in nature, based on bibliographic and documentary review in fields such as cognitive neuroscience, psychology, sociology, and computer science, as well as reports from the World Health Organization. The results indicate that information overload compromises attention, working memory, and decision-making, raising stress and anxiety levels. On the other hand, LLMs have the potential to act as personalized filters, synthesizing and organizing information according to individual preferences, reducing exposure to dispersive digital flows. However, ethical risks, such as algorithmic biases and informational bubbles, must be considered. It is concluded that the conscious use of artificial intelligence can represent an effective strategy for preserving cognitive well-being, provided it is combined with information hygiene practices and policies that ensure diversity in access to knowledge.