The rapid evolution of artificial intelligence (AI) has been one of the most transformative technological developments of the 21st century. AI models, particularly large language models (LLMs) like OpenAI’s GPT, have demonstrated remarkable capabilities in understanding and generating human-like text. However, as AI continues to advance, a critical question emerges: Where will AI models source new knowledge and information in the future? Traditionally, AI models have relied on vast amounts of data scraped from the open internet. This includes websites, forums, articles, and other publicly accessible sources. But the landscape of online information is changing. More and more people are gravitating toward “walled garden” platforms like Facebook, Reddit, Discord, and other private or semi-private communities. These platforms restrict access to their data, making it increasingly difficult for AI scrapers to harvest new content. At the same time, the decline of traditional forums and open platforms is accelerating. Why spend hours debating or researching on a forum when you can simply ask an AI model for an immediate answer? This shift in user behavior has created a paradox: as AI becomes more adept at answering questions, fewer people are contributing new information to the open internet. This raises concerns about the