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有没有人管管KTV里的AI生成MV?
36氪· 2025-08-13 13:35
Core Viewpoint - The KTV industry is increasingly adopting AI-generated music videos (MVs) as a cost-saving measure, despite the negative reception from consumers regarding the quality and emotional connection of these AI-generated content [9][33][38]. Group 1: Industry Trends - Many KTV establishments across the country are embracing AI technology, but this shift is not solely about modernization; it is also a response to declining patronage and changing consumer behavior [18][19]. - The traditional role of KTV as a social gathering place has diminished, with younger consumers opting for alternative entertainment options such as online karaoke and various gaming activities [19][23][24]. - The rise of self-service KTV and the integration of singing services in restaurants and bars have further diluted KTV's market share [22][25]. Group 2: Cost Management - KTV operators face increasing pressure to manage costs, particularly regarding the expensive licensing fees associated with original MVs, which include music and video rights [27][28][34]. - AI-generated MVs significantly reduce costs, as they require minimal resources to produce compared to traditional MVs, making them an attractive option for KTVs looking to cut expenses [29][38]. - The complexity of negotiating MV rights for popular songs adds to the financial burden, prompting KTVs to seek AI solutions as a more straightforward alternative [34][37]. Group 3: Consumer Experience - The shift to AI-generated MVs has led to a decline in the emotional connection that consumers previously experienced with original MVs, resulting in a fragmented and disjointed viewing experience [44][48]. - Many consumers express dissatisfaction with the lack of coherence and emotional resonance in AI-generated content, which detracts from the overall KTV experience [41][56]. - The desire for authentic emotional experiences in entertainment is becoming a new consensus among younger audiences, who are increasingly rejecting overly commercialized and standardized content [55][62].
这年头去趟KTV ,我仿佛吃到了没熟的见手青
3 6 Ke· 2025-08-13 01:21
Core Viewpoint - The article discusses the impact of AI on the KTV industry, highlighting how AI-generated music videos (MVs) have transformed the KTV experience, often leading to confusion and dissatisfaction among customers due to their abstract and illogical nature [6][10][18]. Group 1: AI's Influence on KTV Experience - AI has reshaped the KTV experience, with customers expressing confusion and discomfort when faced with AI-generated MVs that do not align with the emotional context of the songs [6][18]. - The rapid and random visual changes in AI-generated MVs, such as transforming unicorns into pandas, contribute to a disjointed singing experience [9][10]. - Customers have reported a strong preference for traditional MVs over AI-generated content, with many requesting to switch back to original MVs during their KTV sessions [18][20]. Group 2: Business Strategy and Economic Implications - The establishment of MeikTV in 2017 aimed to differentiate itself in a saturated KTV market by embracing AI technology, including AI tuning and scoring systems [21][23]. - The use of AI-generated MVs is partly driven by economic considerations, as it can potentially reduce copyright costs associated with traditional MVs, which require licensing fees [27][33]. - KTV operators can save significantly on music and MV licensing fees by utilizing AI-generated content, which may also serve as a unique selling point in a competitive market [33][31]. Group 3: The Role of MVs in KTV - MVs play a crucial role in creating the emotional atmosphere necessary for a fulfilling KTV experience, with well-crafted MVs enhancing the connection to the song's lyrics [34][36]. - Traditional MVs often tell a coherent story that aligns with the song's themes, while AI-generated MVs lack this narrative coherence, leading to a less engaging experience [36][40]. - The article suggests that even simpler, more traditional methods of creating MVs may yield better results than the current AI approach, which often results in disjointed visuals [42][44].