Dairy farming constitutes a vital component of Bangladesh's economic and food security landscape, yet prevailing practices grapple with challenges such as low productivity, inefficient resource utilization, and limited sustainability. This investigation delves into the potential of Bard AI, a robust language model, to contribute to the sustainability of dairy farming in Bangladesh. Through a statistical analysis of the relationships between Bard AI and key factors, the study reveals promising prospects for AI-driven interventions. Positive correlations between Bard AI and Developing New Products, Disease Prevention and Control, and Product Quality Control suggest its capacity to foster innovation, disease management, and enhanced product quality. Although Developing New Products doesn't directly influence Sustainability, the positive associations identified for Disease Prevention and Control and Product Quality Control underscore their pivotal roles in establishing a sustainable dairy industry. In light of these findings, the conclusion outlines potential applications of Bard AI in Bangladesh, ranging from knowledge dissemination platforms to disease prediction systems and resource optimization solutions. The study advocates for further research to delve into specific applications and assess the economic and environmental benefits of Bard AI, positioning it as a transformative tool to empower Bangladeshi dairy farmers toward sustainable practices with positive implications for both economic and environmental outcomes.