This Year, AI-Created Works Go Viral — and Go Pro

AI-generated music is no longer a novelty — it’s a mainstream creative force making headlines, topping charts, and even turning a profit.

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Viral AI Hits: From Fan Creations to Millions of Views

January: "Aokin Is Actually Myself"

• Created by a Genshin Impact player using in-game dialogue as lyrics.
• Music composed with Suno.
• Went viral on Bilibili with 6.4 million views.

> “AI makes me feel like — just come up with a creative idea, and leave the rest to AI.” — Netizen comment

What started as casual observation has quietly become common consensus.

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AI Music Climbs Charts and Generates Revenue

March: "Seven-Day Lover"

• Made by programmer Yapie using DeepSeek + Make Best Music.
• Prompt: From Secret Crush to Breakup in Seven Days.
• Completed in hours.
• Released on NetEase Cloud Music → over 2 million plays and 4,600 comments.
• Ranked alongside stars like Mao Buyi & Eason Chan.
• Commercial success: Copyright sold for tens of thousands of yuan.

By mid-year:

• Most listeners couldn’t tell if music was AI-generated without disclosure.
• July: Velvet Sundown (1M+ monthly Spotify listeners) revealed to use Suno + other generative tools.

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The New Human Role: Bug-Finders & Finishing Artists

> “The attitude of creators towards AI has shifted significantly.”

> — Xu Wenjian, Founder, Mars Radio

Chaosprint’s Journey

• 2017: Inspired by AlphaGo, explored AI music.
• 2019: Built RaveForce; impressed by GANsynth’s visuals, but found sound “blurry.”
• Initially dismissed MIDI generation as not truly music generation.
• Now: Recognizes MIDI power, impressed by vocal synthesis & conversion.

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From Resistance to Collaboration

2023: Creators feared replacement → resisted AI works.

2024: Top creators use AI for:

• Inspiration
• Efficiency gains
• Creative breakthroughs

> The debate is no longer whether to use AI — but how to use it well.

Industry Predictions:

• AI generated 100M+ tracks by 2023.
• AI music revenues → $7B by 2026.
• By 2030: AI music could be 50% of global market.

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AI’s Sweet Spot: Functional, Commercial Music

Strengths:

• Ad jingles
• Short-video background tracks
• Atmosphere-focused compositions

> “AI is the executor — humans are the bosses, defining problems and goals.” — Xu Wenjian

Human task: Define aesthetic goals → direct AI → fix final 10% of errors → add creative finishing touches.

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Platforms Streamlining AI Creation + Monetization

Example: AiToEarn官网

• Open-source global AI content monetization platform.
• AI generation + multi-platform publishing (Douyin, Kwai, YouTube, Twitter/X, Instagram).
• Analytics + model ranking.
• Fits modern workflow: AI creates → humans add unique spark → platforms distribute & monetize.

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AI’s Core Creative Value: Filling the Gap

For everyday people: Creativity without years of training — just input ideas or emotions.

For professionals: Efficiency boost, not full replacement.

> “Like past industrial revolutions — old jobs replaced, new opportunities created. Those who master AI gain unprecedented productivity.” — Xu Wenjian

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The Case for a Unified Creation Platform

Earlier AI outputs were rough — needed heavy filtering & post-processing.

Now: Large models understand emotion + semantics → generate complete songs.

Challenges remain:

• Emotional storytelling
• High-end performance feel
• Interactivity + real-time play

Text vs. Music Generation Insights (Mikey Shulman, Suno CEO)

• Text/code solving = objective.
• Music creation = subjective; “good taste” critical.
• Competitive edge: audio representation innovation.
• Speed matters: First song must be stunning.

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The Future: AI Creative Operating Systems

Predicted Features:

• Unified Workspace
• Text, image, audio, video creation in one place.
• Seamless project material flow.
• Global Understanding + Task Collaboration
• AI Agents coordinate across the creative workflow.

Core: Automated workflows managed by AI Agents.

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Human Creativity’s Moat: The Way, Not the Technique

> “Techniques will matter less. Unique worldview + emotional perspective is the human advantage.” — Xu Wenjian

> “Taste will be more important than skill.” — Mikey Shulman

Curatorship skills: Selecting & refining AI outputs will be key.

Some creators already gain fame by assembling perfect playlists.

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Integrated AI Toolchains & Monetization

AiToEarn官网:

• Publish AI creations across multiple social/video platforms instantly.
• Manage analytics & model rankings (AI模型排名).
• Fits the vision of an AI Creative OS.

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Current Capability Levels

• General users: AI can deliver solid “60-point” works — personal style, basic creative need met.
• Professionals: AI needs better lyric/melody innovation, complex rhythmic design, multi-genre structures.

> “True progress will come when AI understands music deeply — beyond remixing old copyrighted tracks.” — Chaosprint

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In summary:

AI is becoming the essential co-creator in modern music and media, excelling in speed, accessibility, and functional output. The human edge lies in taste, creative direction, and emotional depth — the art of turning raw AI generation into lasting cultural impact.

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Would you like me to also add visual highlights and summary tables so the key trends and quotes are easier for readers to scan? That would make this Markdown even more presentation-ready for publication.