As artificial intelligence (AI) becomes more deeply embedded in healthcare delivery and education technology, nursing educators are called to integrate AI tools intentionally into curricula to enhance student learning, foster professional identity, and support the development of clinical judgment. This chapter explores AI’s potential to enrich knowledge acquisition, simulation-based learning, research literacy, and reflective practice. Rather than replacing educator expertise, AI is positioned as a pedagogical partner, supporting adaptive learning, real-time analytics, and inclusive, multimodal instruction. Case-based examples highlight how AI tools can personalize content, surface patterns of misunderstanding, and promote systems thinking. Practical strategies are offered for alignment of AI-enhanced instruction with teaching and professional standards, guiding ethical implementation, and fostering student metacognition. The chapter also addresses risks such as algorithmic bias, hallucinations, and over-reliance, discussing safeguards and instructional scaffolds to mitigate these concerns.