AI is making UX research faster and more systematic without replacing human empathy and judgment. Interview analysis: use Dovetail or Aurelius AI to auto-tag user interview transcripts by theme. LLM can summarize 20 interview transcripts into key themes in minutes. Prompt: "Analyze these user interview transcripts and identify: top 5 pain points, top 5 desires, surprising insights, and quotes that best illustrate each theme." Usability testing analysis: Lookback and Maze use AI to detect hesitation patterns, rage clicks, and user confusion in recorded sessions. Generate highlight reels of key moments. Prototype generation: Figma AI and Galileo AI generate UI wireframes from natural language descriptions. "Create a dashboard for a sales team showing pipeline metrics, recent activities, and task list." Iterate rapidly on concepts. Heatmap analysis: FullStory and Hotjar use ML to identify UX anomalies and predict which page elements drive conversions. Survey analysis: LLM analyzes open-ended survey responses, identifies sentiment clusters, quantifies themes. "Analyze 500 NPS responses and quantify the top reasons for detractors vs promoters." A/B test interpretation: "These are the results of our checkout flow A/B test. Explain the statistical significance, practical significance, and recommendation in plain language." Limitation: AI cannot replace ethnographic research or capture cultural nuances that require human empathy.