In 2025, AI, particularly Large Language Models (LLMs) like ChatGPT and Claude, is reshaping how documentation is created and consumed, necessitating a focus on AI-friendly structures such as llms.txt files and Model Context Protocol (MCP) integration. These developments ensure documentation surfaces accurately in AI interfaces, transforming docs into key distribution channels where developers first encounter products. Structured content, semantic formatting, and up-to-date information are crucial for enhancing AI readability, impacting how effectively AI models can interpret and present product information. The introduction of llms.txt provides a standardized way for AI systems to navigate documentation, while MCP allows for real-time retrieval of context, enhancing the accuracy and relevance of AI-generated responses. As AI becomes embedded in every layer of the documentation lifecycle, teams that adapt to serve both human and machine audiences gain a competitive advantage, and the field anticipates further innovation in AI-assisted documentation workflows and authoring environments.