‘Bội thực’ nhạc AI

In the rapidly evolving ecosystem of the digital music industry, the barrier to entry has effectively evaporated. With the emergence of advanced generative artificial intelligence tools like Suno and Udio, anyone with a text-based prompt can produce a polished, radio-ready song in seconds. This shift has democratized musical creation but has also unleashed an unprecedented deluge of content that is testing the operational and ethical boundaries of platforms like Deezer and Spotify.
The Deluge of Synthetic Audio
According to recent data from French streaming service Deezer, the sheer volume of AI-generated music uploaded to streaming platforms has reached staggering levels. As of June 2026, the number of tracks created entirely by AI and uploaded to various streaming services peaked at nearly 90,000 new songs per day. To put this in perspective, at certain points during that month, AI-generated content accounted for more than 50% of the total volume of new music uploaded globally.
This represents a meteoric rise from April 2025, when that same metric hovered at approximately 18%, or roughly 20,000 new tracks daily. The growth is fueled by the accessibility of AI software that requires no formal musical training, theoretical knowledge, or professional studio equipment. While this allows for a creative explosion, it has simultaneously triggered a crisis of saturation.
Statistical Reality: The Disconnect Between Supply and Engagement
Despite the massive influx of synthetic tracks, engagement metrics reveal a stark reality: users are largely indifferent to, or even wary of, content that lacks human authorship. Deezer reports that while AI-generated music accounts for over half of all new uploads during peak periods, these tracks contribute only 1% to 3% of total streaming volume. Even more concerning for platform integrity, up to 85% of these streams are estimated to be fraudulent, generated by "bots" designed to manipulate algorithms and siphon royalty payments.

This phenomenon highlights a growing paradox in the music industry. Technology has enabled a rate of production never before seen in human history, but this efficiency does not correlate with market demand or listener satisfaction. As the supply of AI-generated content outpaces genuine human interest, platforms find themselves hosting a vast library of low-quality, structurally redundant, and potentially deceptive material.
Chronology of the Synthetic Wave
The rise of AI music has unfolded in a rapid, albeit volatile, timeline over the last 24 months:
- Early 2024: Initial experiments with AI-generated pop stars, such as the Vietnamese virtual artist "Ann," mark the beginning of corporate-led AI integration in regional markets.
- April 2025: AI-generated music begins to capture a significant market share of new uploads (18%), signaling the start of the "flooding" era.
- June 2025: The volume of AI music reaches a saturation point, with nearly 50% of daily new uploads being machine-generated.
- July 2025: The emergence of "The Velvet Sundown," a synthetic rock band on Spotify, demonstrates how AI can mimic not just sound, but the entire persona, biography, and image of a band. The group garnered over one million monthly listeners before the deception was exposed.
- October 2025: A massive industry survey conducted by Deezer and Ipsos reveals that 97% of 9,000 participants across seven major countries could not distinguish between AI-generated music and human compositions.
- Late 2025 to Early 2026: Major platforms begin aggressive "pruning" campaigns. Spotify removes over 50 million low-quality AI-generated tracks to clear the platform of bot-driven content.
- June 2026: Deezer launches a free, industry-wide AI detection tool to help clean up playlists and ensure transparent labeling.
The Consumer Sentiment Crisis
The rapid proliferation of AI has not been met with universal acclaim. A comprehensive study conducted by Ipsos for Deezer in late 2025 provided clear evidence of consumer anxiety. Of the 9,000 participants, 52% expressed discomfort regarding the lack of transparency in music production. Furthermore, 80% of respondents explicitly stated that music created entirely by AI must be clearly labeled, while 73% demanded to know if their streaming service was providing royalty payouts to AI-generated content providers.
Perhaps most damaging to the long-term viability of AI-generated music is the "avoidance factor." Roughly 40% of listeners indicated that if they discovered a song was entirely machine-made, they would immediately skip it. This suggests that while technology may be able to replicate the structure of a hit song, it has yet to replicate the emotional connection that drives long-term listener loyalty.
Industry Responses and Regulatory Shifts
Faced with the threat of platform degradation, music streaming services are transitioning from passive hosting to active gatekeeping. Deezer, for instance, has implemented a policy to label over 13.4 million AI tracks identified in 2025, while simultaneously removing them from recommendation algorithms. Furthermore, the platform has ceased counting streams from identified bot-driven AI content toward royalty distributions.

Spotify, the world’s largest streaming platform, has similarly taken defensive measures. Since September 2025, they have introduced "AI persona" labels to help users identify synthetic artists. By October 2025, they confirmed the removal of 50 million low-quality AI tracks. These measures aim to protect the economic interests of human artists, who are currently competing for airtime against an infinite stream of zero-cost synthetic music.
The Human Element: An Irreplaceable Commodity
Despite the technical capabilities of current AI models, many in the industry remain skeptical of a fully automated future. Musicians and producers argue that while AI can replicate harmonic structures and vocal timbres, it cannot simulate the human experience—the life stories, cultural context, and raw emotion that define great art.
Tùng Dương, a prominent artist, recently noted that his concern is not necessarily the technical proficiency of the machine, but the societal acceptance of it. "What worries me is not that AI is getting more like humans, but that humans are becoming content with a way of creating that is mechanical," he observed.
This sentiment is echoed by younger listeners, such as 21-year-old Linh Nhi, who expressed fatigue at the homogenization of music on platforms like TikTok and Facebook. "Many of these songs have the same melody, the same production style, and the same ‘manufactured’ feel. It gets boring quickly because it lacks a unique soul or distinct artistic identity," she said.
Future Implications for the Music Economy
The current "AI-music" crisis represents a critical juncture for the industry. The technology is undeniably useful as a tool for production, composition, and experimentation, but its use as a mass-production engine for content spam is unsustainable.

For the industry to survive this transition, three pillars must be established:
- Transparency: Clear labeling of all AI-generated content is no longer optional; it is a prerequisite for maintaining listener trust.
- Economic Integrity: Platforms must ensure that royalty pools are not diluted by bot-generated noise, protecting the livelihoods of professional musicians.
- Algorithmic Guardrails: Recommendation systems must be tuned to prioritize human-centric art, ensuring that the "human touch" remains a discoverable and prioritized element of the digital listening experience.
Ultimately, the market will likely undergo a correction. As the novelty of AI-generated content wears off, and as listeners become more adept at identifying "canned" music, the demand for authentic, human-created art will likely experience a resurgence. The challenge for streaming platforms will be to manage this transition without alienating the user base or stifling the legitimate technological advancements that can benefit the creative process. The future of music is not necessarily a battle between man and machine, but rather a negotiation over how technology can serve, rather than replace, the human creative spirit.







