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The integration of Artificial Intelligence (AI) is transforming pharmaceutical sciences beyond traditional laboratory boundaries, heralding a new era of precision, efficiency, and innovation. This review explores the multifaceted role of AI across various pharmaceutical domains including medicinal chemistry, pharmaceutics, pharmacology, clinical pharmacy, biotechnology, pharmacognosy, and pharmaceutical management. It highlights how AI enhances drug discovery, optimizes formulation design, accelerates clinical trials, and supports decision-making in patient care. Through real-world case studies, the review illustrates tangible benefits such as reduced development timelines, improved therapeutic outcomes, and cost-effectiveness. It also addresses the challenges in data quality, ethical concerns, and regulatory limitations. The paper concludes with a forward-looking perspective on AI's evolving capabilities and its potential to redefine the future of pharmacy practice, research, and education.