Artificial intelligence (AI) is transforming healthcare, with endoscopy emerging as a key area for its application. AI-driven tools are advancing gastrointestinal diagnostics by significantly improving the accuracy and efficiency of detecting conditions such as colorectal cancer, inflammatory bowel disease, and gastrointestinal bleeding. Notably, real-time AI-powered polyp detection has shown significant promise in reducing missed diagnoses, particularly for flat or subtle lesions. Furthermore, AI algorithms excel in lesion characterization, aiding in clinical decision-making and reducing the need for unnecessary biopsies. A major advantage of AI lies in its ability to mitigate variability in diagnostic performance, supporting less experienced endoscopists and contributing to standardized care across diverse clinical settings. Despite these advancements, challenges persist, including the need for large-scale validation of AI models, ensuring their generalizability across populations, addressing ethical and privacy concerns, and mitigating the risk of over-reliance on AI at the expense of human expertise. This perspective explores the transformative potential of AI in endoscopy, emphasizing the importance of thoughtful implementation, ethical considerations, and continued innovation to optimize its integration into clinical practice.