This chapter offers a forward-looking perspective on the evolution of recommendation systems, highlighting emerging trends and open challenges. We focus on five key research frontiers: multi-modal integration, verifiable outcomes, multi-agent systems, generative copyright and privacy, and ethical AI and fairness. For each frontier, we illustrate not only the challenges it presents but also promising directions for advancing next-generation LLM-powered recommenders.