The paper explores the potential of generative AI in creating a new form of interactive media called AI-bridged Creative Language Arts (CLA), which personalizes the author's vision to the audience's context and taste at scale. The authors conducted an interview study with 18 authors across eight genres to understand their values and attitudes towards AI-bridged CLA. They identified three key benefits: benefits authors get from the process, benefits audiences get from the artifact, and benefits authors get from the audience. The study found that authors' reactions to AI-bridged CLA varied, depending on their priorities within these dynamics. Some authors valued the process-derived benefits, such as therapeutic and joyful experiences, while others emphasized the importance of infusing intrinsic artistic values into their artifacts. Some authors prioritized the benefits audiences get from the artifact, hoping to evoke empathy and resonance, while others focused on providing entertainment and coherence. Additionally, authors placed importance on the benefits they receive from the audience, such as appreciation and monetary rewards. The study also revealed that AI-bridged CLA could either promote or reduce these benefits, depending on how it transforms the author's original work. Authors with high attachment to their artifacts were concerned about AI distorting their intentions, while others were more open to changes that did not alter the core aspects of their work. The paper discusses potential approaches to support the creation and distribution of AI-bridged CLA and highlights the need for further research to leverage generative AI for scalable personalization in various content types.The paper explores the potential of generative AI in creating a new form of interactive media called AI-bridged Creative Language Arts (CLA), which personalizes the author's vision to the audience's context and taste at scale. The authors conducted an interview study with 18 authors across eight genres to understand their values and attitudes towards AI-bridged CLA. They identified three key benefits: benefits authors get from the process, benefits audiences get from the artifact, and benefits authors get from the audience. The study found that authors' reactions to AI-bridged CLA varied, depending on their priorities within these dynamics. Some authors valued the process-derived benefits, such as therapeutic and joyful experiences, while others emphasized the importance of infusing intrinsic artistic values into their artifacts. Some authors prioritized the benefits audiences get from the artifact, hoping to evoke empathy and resonance, while others focused on providing entertainment and coherence. Additionally, authors placed importance on the benefits they receive from the audience, such as appreciation and monetary rewards. The study also revealed that AI-bridged CLA could either promote or reduce these benefits, depending on how it transforms the author's original work. Authors with high attachment to their artifacts were concerned about AI distorting their intentions, while others were more open to changes that did not alter the core aspects of their work. The paper discusses potential approaches to support the creation and distribution of AI-bridged CLA and highlights the need for further research to leverage generative AI for scalable personalization in various content types.