Artificial Intelligence (AI) is rapidly transforming agricultural advisory services by providing farmers with timely, data-driven, and location-specific information. Compared to conventional extension approaches, AI-enabled tools such as chatbots, voice assistants, and predictive analytics offer faster and more accessible support for decisions related to irrigation, fertilizer application, and pest management. These innovations have the potential to enhance farm productivity, improve resource efficiency, and promote sustainable agriculture. However, challenges including limited digital infrastructure, language barriers, concerns about data reliability, and low farmer trust continue to affect their wider adoption. Hence, integrating AI-based advisory systems with traditional extension services is essential to ensure inclusive, reliable, and effective support for farming communities.