音乐界也有“通货膨胀”了

Core Viewpoint - The article discusses the impact of AI and platforms on the music industry, highlighting the phenomenon of "music inflation" where the number of songs vastly outnumbers listeners, leading to devaluation of music and income challenges for individual musicians [5][8]. Group 1: AI Music Production - As of the end of 2024, China's digital music library is expected to reach 263 million songs, with AI music platforms generating millions of songs monthly [5][7]. - The efficiency and low cost of AI music production have led to an oversupply of songs, resulting in a supply-demand imbalance in the music market [9][8]. - AI music creation relies on statistical patterns rather than emotional or artistic inspiration, producing music that aligns with popular trends rather than genuine creativity [12][15]. Group 2: Accessibility and Equality in Music Creation - The barriers to music creation have been significantly lowered, allowing anyone with basic tools to become a "composer," thus democratizing music production [16][18]. - This "artistic equality" benefits many small businesses and content creators who require functional music for various purposes without the need for expensive licensing [22]. Group 3: Economic Implications - The demand for "functional" music has led to a decrease in the fees paid for music production, as AI-generated music can replace traditional composers at a fraction of the cost [25][26]. - The competition in the music industry has intensified, with the cost of music production nearing zero, shifting the focus to gaining attention and streams rather than artistic merit [27][28]. Group 4: Attention Economy and Consumption Patterns - The rise of AI music has transformed music consumption from enjoying full songs to consuming short snippets, leading to a phenomenon where songs become mere background material for other media [32][34]. - This shift has resulted in a loss of collective cultural memory, as listeners may remember catchy snippets but forget the artists or full songs [36][38]. Group 5: Algorithmic Influence on Music - AI music and platform algorithms create a self-reinforcing system where AI-generated content fuels algorithmic recommendations, leading to a homogenization of music [41][44]. - The success of music now heavily depends on its alignment with algorithmic preferences, sidelining traditional evaluation methods like radio play and music reviews [45].