The AI wave is quietly changing the "listening habits" of the younger generation. According to Morgan Stanley's latest audio consumption survey, more than half of respondents aged 18 to 44 in the US spend 2.5 to 3 hours per week listening to AI-generated music. This duration is almost equivalent to watching a movie like Avatar, indicating that AI music is no longer an obscure technological experiment but is rapidly integrating into the daily lives of mainstream consumers.
The survey found that YouTube and TikTok, with their powerful short video ecosystems, have become the core platforms for AI music dissemination. Analysts point out that although current AI creation is mainly active on social media, for traditional streaming giants like Spotify, this is more like a "windfall." By deeply integrating AI into personalized recommendation algorithms, platforms are expected to achieve a more accurate "personalization 2.0" experience, further solidifying their dominant position in global distribution.
At the record industry level, the rise of AI has triggered complex power struggles. On one hand, the emergence of massive AI songs has actually increased the scarcity value of classic copyright music libraries; on the other hand, AI-generated content also poses potential competitive pressure on top new works. Currently, industry giants such as Warner Music have begun to actively make preparations, by collaborating with AI music startups such as Suno, trying to find a new balance between algorithmic creation and copyright monetization.
Key points:
🎧 Consumption becomes routine: The 18-44 age group in the US listens to AI music about 3 hours per week, marking that this type of content has entered the mainstream daily consumption scope.
📈 Platform benefits: YouTube and TikTok are currently the main distribution channels, while streaming giants like Spotify are expected to enhance their competitive edge in personalized recommendations through AI.
⚖️ Industry competition: Copyright holders such as Warner Music are exploring new paths to protect and amplify the value of classic music libraries in the era of algorithmic creation through commercial cooperation with AI companies.
