Manus和DeepSeek，新一波赚钱红利

Core Insights - The article emphasizes the importance of AI productization and how businesses should focus on integrating AI into user tasks rather than merely adding AI features to existing products [2][3][17] - It highlights the concept of "tenfold speed change" brought by AI, which has made intelligent supply more accessible, faster, and cheaper, thus creating new opportunities for businesses [2][10] Group 1: Understanding AI Productization - AI productization is about identifying opportunities where supply and demand intersect, known as Product Market Fit (PMF) [2][3] - Companies should focus on how AI can help users complete tasks more efficiently rather than just adding AI to their products [3][4] Group 2: Identifying Opportunities - Businesses should analyze the entire user task process to identify pain points where AI can provide assistance [5][8] - The focus should be on optimizing user experiences by integrating AI into the task rather than the product itself [7][10] Group 3: Levels of Implementation - The first level of implementation involves using AI to enhance existing processes, making them more efficient for users [10][11] - The second level suggests creating entirely new processes that leverage AI, rather than merely optimizing old ones [12][13] - The third level focuses on expanding market access by lowering service costs and barriers for previously underserved user groups [13][14] Group 4: Future Opportunities - Companies should consider how to design infrastructure for AI, anticipating a future where AI performs many tasks traditionally done by humans [14][15] - The article suggests that the real opportunity lies in helping AI find tasks to perform, thus creating value for users [17][21]