This talk explores the transformative impact of AI on recommender systems through the lens of Spotify. With a vast audio catalog, Spotify leverages advanced AI-driven search and recommendation systems to enhance the user experience. These systems not only guide users through millions of tracks, podcasts, and audiobooks but also foster content discovery. By precisely modeling user preferences and employing state-of-the-art AI techniques like machine learning and generative AI, Spotify creates highly personalized recommendations. This approach not only fulfills users’ immediate needs but also introduces them to new and relevant content, keeping them engaged and enriching their listening experience. This presentation draws on collective research from Spotify’s ongoing innovations in AI-powered recommendations.