AI is already affecting healthcare in several concrete ways: diagnostic imaging (AI can detect cancers in radiology scans with accuracy matching or exceeding radiologists), drug discovery (AI models predict molecular interactions, cutting years off research timelines), clinical documentation (AI scribes transcribe doctor-patient conversations into structured notes), and operational efficiency (scheduling, billing, prior authorization). The biggest near-term impact is reducing administrative burden — doctors spend 50% of their time on paperwork, and AI can handle much of it.