Imagine a world where video games create their own levels, stories, and even music. This isn't science fiction; it's the rapidly evolving field of Procedural Content Generation (PCG). For decades, algorithms have helped build game worlds, but the recent rise of Large Language Models (LLMs) is revolutionizing the game. This new wave of AI isn't just generating random content; it's crafting intricate narratives, dynamic game scenes, and even adapting game difficulty based on player behavior. While level generation has been the primary focus of PCG research, LLMs are opening doors to creating entire game worlds with rich storylines and engaging characters. From generating believable NPC chatter to designing complex puzzles, LLMs are pushing the boundaries of what's possible. But the integration of LLMs also presents unique challenges. How do we ensure ethical considerations are addressed when AI is crafting game content? How do we bridge the gap between academic research and practical application in the gaming industry? The future of PCG is exciting, with combined methods utilizing both traditional algorithms and the power of LLMs offering a powerful new approach. As AI continues to evolve, the possibilities for creating dynamic, ever-changing game experiences are truly limitless.