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从争抢版权到构建多元生态,AI成数字音乐平台竞争关键变量
Nan Fang Du Shi Bao· 2025-05-12 11:53
Core Insights - The rapid development of AI technology is profoundly transforming the digital music market, shifting the competitive logic from exclusive copyright acquisition to a diversified ecosystem driven by content innovation and service optimization [1][2] Group 1: Industry Transformation - Since Tencent Music abandoned the exclusive copyright model in 2021, the industry is transitioning towards a multi-faceted ecosystem focused on technology-driven content innovation and service optimization [1] - The application of AI large models is fostering innovations across the entire music creation, recommendation, and interaction chain [2] - The transformation is evident in three dimensions: technological advancements, expanded user experiences beyond traditional listening, and community engagement through user segmentation and social group building [1][2] Group 2: AI Impact on Music Creation - AI-driven technological changes are reconstructing music creation paradigms, significantly enhancing creative efficiency through increased computational power and breakthroughs in deep learning and generative algorithms [2] - AI can now better understand user needs and optimize content distribution mechanisms, improving the efficiency of personalized recommendations [2] - The use of AI in music creation—such as melody generation, lyric pairing, and automatic arrangement—has lowered the barriers to entry for content creation, speeding up the process from creation to consumption [2] Group 3: Market Projections - The global AI music market is projected to reach a value of $1.49 billion by 2024, with a compound annual growth rate of 16.3% over the next five years [2] Group 4: Copyright Challenges - The abstract nature of music makes it difficult to measure originality, complicating copyright definitions and protections [3] - The collaborative nature of music creation involving multiple participants raises various copyright issues at different stages [3] - The emergence of AI-generated music complicates copyright ownership, as the creative process involves both machines and human contributors [3][4] Group 5: Legal Framework and Recommendations - Current global legal regulations regarding AI music copyright are still in the exploratory phase, leading to uncertainties for creators, developers, and users [4] - The report categorizes copyright disputes into three main types: ownership of copyright, potential plagiarism, and commercial use [4] - Recommendations include improving legal and policy frameworks, enhancing platform responsibilities, innovating business models, and promoting international cooperation to establish a more sustainable copyright ecosystem [4]