This article examines the integration of artificial intelligence (AI) into mental health care, highlighting its potential to enhance assessment, treatment planning, and patient engagement. It discusses emerging applications such as AI-assisted screening, chat-based support tools, and predictive analytics, alongside the benefits of improved access and efficiency. The author also addresses key challenges, including ethical concerns, data privacy, bias, and the limitations of AI in replicating human clinical judgment. Emphasis is placed on the importance of responsible implementation, with AI positioned as a complement to, rather than a replacement for, mental health professionals.