Purpose of Review <p>Climate change poses a growing threat to the mental health of children and adolescents. Exposure to extreme weather events, displacement, food insecurity, and social isolation contribute to anxiety, depression, post-traumatic stress, and disrupted development. Pediatric healthcare providers are uniquely positioned to identify and respond to these impacts; however, many lack the necessary education and tools to do so effectively. Concurrently, artificial intelligence (AI) offers new opportunities to close knowledge gaps by synthesizing evidence, personalizing content, and rapidly generating high-quality educational materials.</p> Recent Findings <p>This article explores how AI can support pediatric mental health in the context of climate change by identifying educational needs among healthcare providers, families, and communities. It outlines strategies for utilizing AI platforms to identify knowledge gaps, synthesize relevant research, and create targeted content in various formats, including fact sheets, infographics, podcasts, and presentations. The article also explains the mechanics behind AI, including machine learning, natural language processing, and large language models, while emphasizing the critical role of human oversight in ensuring accuracy, cultural competence, and ethical integrity. Key considerations such as authorship, plagiarism, bias, and transparency are addressed to guide the responsible use of AI.</p> Summary <p>Ultimately, the integration of AI into pediatric education must complement, rather than replace, the human connection that is central to child healthcare. By combining innovative technology with compassionate, evidence-informed care, pediatricians can better support the mental health of young patients in a rapidly changing climate, while empowering families and communities with knowledge and tools that foster resilience.</p>