Artificial intelligence's usage in pharmaceutical technology has grown over time, and it may save time and money while offering a greater knowledge of the interactions between different formulations and process factors. Artificial intelligence is an area of computer science concerned with problem solving through the use of symbolic programming. Artificial intelligence (AI) employs personalized knowledge and learns from the solutions it generates to handle both particular and complex issues. Remarkable developments in processing power, along with advances in AI technology, have the potential to transform the drug development process. The pharmaceutical sector is now facing difficulty in continuing drug development programs due to higher R&D expenses and decreased efficiency. Artificial Neural Network (ANN) technologies are being developed for predicting relationships in data.Machine learning and deep learning are also being used to examine various machine parameters and regulate them accordingly to get the desired results.Thus, Artificial Intelligence programs serve as effective solutions for creating a medicinal product. They are also utilized in clinical studies to generate and evaluate data collected from patient information. As a result, in this article, we will discuss several applications of artificial intelligence in pharmaceutical product development, providing a clear picture of how AI has an efficient influence on the pharmaceutical industry.