Across the Asia-Pacific, oncology nurses spend significant time on EHR documentation, contributing to burnout and staffing challenges. This editorial examines ambient AI, a voice-based system that captures clinical conversations and auto-generates notes, as a potential solution. Early studies show these systems can reduce documentation time after shifts by nearly a third and improve patient satisfaction. However, they still struggle with different accents and require nurses to review output for accuracy. Emerging tools using LLMs offer improved performance and billing support but raise concerns around reliability and privacy, especially in multilingual, resource-constrained settings. With inclusive design and rigorous testing, ambient AI could meaningfully reduce administrative burden and improve care delivery.