AI now promises to compress weeks of customer discovery into an afternoon. Synthetic personas, automated interview analysis and instant insight summaries are changing how product teams learn about the people they build for. But can a model really tell you what your customer needs, or is it just reflecting your own assumptions back at you? In this candid fireside chat, we’ll look at where AI speeds up discovery and where it falls short. We’ll get into what product leaders are seeing in practice: which parts of the research process AI handles well, where teams have been misled by confident but shallow output, and how to keep real customer conversations at the center when the tools make it tempting to skip them. Key takeaways: - Where AI adds real value in customer discovery today, and where it doesn’t yet - The risks of synthetic users and AI generated insights, and how to spot them - Practical ways to combine AI tools with direct customer contact - How product led teams can move faster without losing touch with their users