Core Viewpoint - The rise of AI digital hosts in the fashion live-streaming industry has transformed the landscape, moving from novelty to widespread application, although challenges in interaction and personalization remain [1][4]. Group 1: Development of AI Hosts - AI digital hosts have evolved from stiff and mechanical presentations to more lifelike interactions, capable of showcasing products and engaging with viewers in a more natural manner [1]. - The initial phase of AI hosts was marked by a lack of realism, with rigid expressions and scripted dialogues that were easily recognizable as artificial [1][3]. Group 2: Current Limitations - Despite advancements, AI hosts still struggle with personalized customer interactions, failing to adequately address specific inquiries about sizing and fit, which are critical for consumers [3][4]. - The inability of AI hosts to provide tailored responses to customer questions highlights a significant gap in the user experience, particularly in the fashion sector where personal fit is essential [3][4]. Group 3: Industry Adoption - Major brands like Semir, Anta, and Sanfu have begun to implement dedicated AI hosts, indicating a trend where digital hosts are becoming standard in fashion live-streaming [4]. - The adoption of AI hosts is driven by their ability to reduce costs and maintain continuous operation, allowing brands to avoid the fatigue associated with human hosts [5]. Group 4: Future Trends - Experts suggest that while AI can enhance efficiency in live-streaming, it cannot fully replace human hosts due to the experiential nature of fashion consumption, which relies on trust and personal connection [6]. - The future may see a "human-machine collaboration" model, where AI handles standard tasks while human hosts focus on personalized engagement and emotional connections with consumers [6].