The integration of Artificial Intelligence (AI) into Optical Coherence Tomography (OCT) technology represents a novel frontier in the early diagnosis and treatment of gastrointestinal (GI) cancers, particularly esophageal and colorectal cancers. OCT, a high-resolution imaging modality that provides cross-sectional views of tissue microstructure, has shown promise in identifying dysplastic and early cancerous changes in the GI tract. When combined with AI-driven algorithms, OCT enables real-time automated analysis of tissue patterns, increasing diagnostic accuracy and reducing the likelihood of missed lesions. This AI-assisted technology is particularly effective in distinguishing between benign and malignant tissues, which can be challenging using traditional imaging techniques alone. As AI models continue to evolve, their ability to recognize subtle histopathological features can potentially reduce reliance on biopsies, speeding up the diagnostic process and facilitating immediate therapeutic interventions, such as endoscopic mucosal resection (EMR). However, future research is needed to further refine these AI algorithms and ensure their applicability across diverse patient populations. Additionally, cost-effective strategies must be developed to make this technology more accessible in routine clinical settings. The fusion of AI with OCT holds immense potential to revolutionize the management of early GI cancers, offering a pathway to more personalized and minimally invasive treatment options.