AI in pharma could boost global operating profits by $254 billion by 2030, revolutionizing drug discovery, clinical trials, and personalized medicine. Key benefits include accelerated drug discovery, personalized care, enhanced clinical trials, optimized manufacturing, and advanced biomarker discovery. Real-world examples from companies like AstraZeneca, GSK, Novartis, and Sanofi highlight AI's transformative impact. Challenges include reproducibility, data quality, privacy, bias, and regulatory compliance, but solutions involve standardized datasets, data-sharing, encryption, diverse data sources, and proactive regulatory engagement.