Core Viewpoint - The global recorded music market reached a milestone in 2024, with total revenue soaring to $29.6 billion, driven significantly by streaming, which surpassed $20 billion for the first time. However, the rise of AI technology has led to an increase in streaming fraud, making it a target for criminals [1]. Group 1: AI-Generated Music Fraud Case - A notable case involved a 52-year-old man from North Carolina, Michael Smith, who was charged with using AI to create fake songs and fraudulently distribute them on platforms like Amazon Music, Apple Music, Spotify, and YouTube Music to illegally obtain royalties totaling over $10 million [3][4]. - Smith's fraudulent activities began in 2017, where he created thousands of automated accounts to continuously play AI-generated songs, resulting in billions of plays and substantial royalty income [4][5]. - The indictment revealed that Smith purchased hundreds of thousands of AI-generated songs and manipulated streaming data to create the illusion of global listening [5][6]. Group 2: Impact of AI on Streaming Fraud - The use of AI in music generation has allowed fraudsters to upload millions of fake songs to streaming platforms, with individual songs receiving only a few thousand plays, making it harder for platforms to detect fraud [8][9]. - Deezer reported that 18% of the content uploaded to its platform is generated by AI, highlighting the scale of the issue [9]. - The International Federation of the Phonographic Industry (IFPI) noted that AI is a significant driver of streaming fraud, enabling criminals to evade regulation while achieving profitability [10][11]. Group 3: Legal and Industry Responses - Legal actions have been taken against individuals involved in music streaming fraud, with a notable case in Denmark resulting in a prison sentence for a man who earned approximately 2 million Danish Kroner (about $229,676) through similar fraudulent activities [12][13]. - Despite efforts by platforms like Deezer to combat AI-generated music fraud, the effectiveness of these measures remains questionable, as the problem continues to escalate [15][16]. - There is currently a lack of legal frameworks governing the distribution of AI-generated music, complicating the enforcement of copyright protections [17].