ARTIFICIAL INTELLIGENCE AS A STRATEGIC TOOL IN THE PHARMACEUTICAL INDUSTRY: IMPACTS AND CHALLENGES

Abstract

This research examined how Artificial Intelligence (AI) can be strategically employed in the pharmaceutical sector, considering its effects, uses, and obstacles. The overall goal was to analyze the effects of AI, taking into account both practical applications and the main ethical, regulatory, and operational challenges. A qualitative bibliographic study was used to identify and discuss the various applications of AI in the sector's production chain. The results confirmed that AI is a tool with the potential to significantly transform the industry, supporting the idea that its ethical application makes processes more efficient, safe, and personalized. The most relevant areas of application identified include Research and Development (accelerating molecule discovery), Pharmacovigilance (monitoring adverse effects), and Data Management (analyzing large volumes of data and machine learning). Predicting physicochemical characteristics, reducing costs, and speeding up drug development are some of the most significant advantages. The main challenges include protecting sensitive data (LGPD), algorithmic transparency, and defining legal responsibility. It can be concluded that AI is a driver of innovation; however, its successful implementation requires careful planning, a multidisciplinary approach, and strict ethical and regulatory management.