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ElevenLabs announced the launch of Music v2, its latest AI‑driven music‑generation model capable of switching genres mid‑track and handling complex vocal arrangements. The new tool is positioned as a response to a growing wave of AI music solutions from rivals such as Google, Stability AI, and Suno. Music v2 Introduces Real‑Time Genre‑Switching Capability The model can move from opera to heavy metal, deliver rapid rap verses, and embed sound‑effects without breaking musical coherence. Users can select a specific section of a song—intro, verse, or chorus—and rewrite it via prompts while leaving the rest untouched. Supports multi‑language lyrics and diverse vocal styles. Allows section‑by‑section composition, enabling a stitch‑together workflow. Built on licensed data, cleared for commercial use. Competitive Landscape of AI‑Generated Music In the past year, major AI labs have accelerated music‑generation research. Google showcased its Flow Music tool at I/O, offering cover creation and song‑section editing. Stability AI and Suno have also released models that produce longer, more intricate tracks. ElevenLabs’ emphasis on commercial licensing differentiates it from startups like Suno and Udio, which have faced copyright lawsuits. Implications for Creators and the Music Industry By integrating Music v2 into the ElevenCreative suite and the new ElevenMusic platform, the company targets marketing teams and independent artists seeking rapid, royalty‑free production. The ability to edit specific song sections could streamline soundtrack creation for ads, games, and social media, potentially reshaping how content is produced at scale. Looking Ahead: Future Developments and Market Adoption ElevenLabs plans to roll out Music v2 via its ElevenAPI, widening access for developers. As AI‑generated music becomes more sophisticated and legally vetted, we can expect broader adoption across media firms, a rise in AI‑assisted songwriting, and intensified competition to secure licensing partnerships with record labels.

Spotify‑UMG Deal Enables Fan‑Made AI Covers and Remixes Spotify announced a licensing agreement with Universal Music Group (UMG) that will let Premium subscribers use generative AI tools to create covers and remixes of catalog songs. The feature will be offered as a paid add‑on and will include a revenue‑share model for participating artists. Alex Norström, Spotify co‑CEO, said the initiative is “grounded in consent, credit, and compensation for the artists and songwriters that take part.” Sir Lucian Grainge, UMG Chairman and CEO, called it a way for artists to deepen fan relationships while opening new revenue streams. Revenue‑Sharing Model and Pricing Details Remain Vague Tool will be a paid add‑on for Spotify Premium users; exact price not disclosed. Participating artists receive a share of revenue generated from AI‑derived tracks, though the split percentage was not revealed. The agreement follows earlier Spotify teasers involving Sony, Warner, Merlin and Believe. Implications for Music Rights and AI Competition Spotify emphasizes “consent, credit, and compensation,” positioning itself against platforms like Suno that have faced lawsuits. Recent legal settlements: Suno settled a $500 million lawsuit with Warner Music Group; UMG settled its suit with Udio. The deal could set a precedent for label‑first AI licensing, potentially reducing litigation risk for AI music services. Future Outlook: More Label Partnerships and an Expanded AI Music Ecosystem UMG may be the first of several major‑label agreements; Spotify hinted at a broader roll‑out. Combined with other AI announcements (audiobook creation, podcaster tools, concert‑ticket reservations), Spotify is positioning AI as a core growth engine. Industry observers expect increased competition among streaming platforms to offer AI‑enhanced creator tools.

As AI music startups like Suno and Udio focus on generating music from scratch, a new player in the space, GRAI, is taking a different approach. The company believes most people don't want to create music with AI—they'd rather remix, share, and experiment with existing tracks. With $9 million in seed funding, GRAI is positioning itself to transform music consumption into a more social experience while respecting artists' rights. Key Developments GRAI has raised $9 million in seed funding co-led by Khosla Ventures and Inovo vc The company is developing apps like 'Music with Friends' for iOS and an AI music playground for Android GRAI is building its own taste and participation graph along with real-time audio systems The startup is focusing on creating a 'derivatives pipeline' that preserves original track identity while allowing transformations Founders Ilya Liasun, Dima Kamarouski, and Andrei Avsievich previously sold their video creation app VOCHI to Pinterest Data & Market Impact The $9 million seed round represents significant investor confidence in GRAI's alternative approach to AI music. This funding comes amid a surge in AI music startups, with Suno and Udio gaining attention for their generative capabilities. However, GRAI's focus on social interaction rather than creation positions it in a different market segment targeting Gen Z and Gen Alpha users who discover music through cultural touchpoints like TikTok and social sharing. Why This Matters GRAI's approach addresses several critical issues in the modern music landscape. First, it tackles the broken discovery system that makes it difficult for new artists to gain traction. Second, it transforms passive listening into active participation, potentially increasing engagement with music. Third, it introduces social context to music consumption, which has been largely absent in streaming platforms. For artists and labels, GRAI offers a potential new revenue stream through royalties on remixes and transformations. This could be particularly valuable as traditional music sales continue to decline and streaming payouts remain notoriously low. The company's commitment to getting artist permission before implementation also addresses one of the most contentious issues in AI music—copyright and consent. For users, especially younger generations, GRAI represents a way to engage with music beyond passive consumption. This social approach could redefine how music experiences are shared and discovered, potentially shifting power away from large platforms like TikTok and YouTube. Expert Insight GRAI's founders identify a crucial gap in the current music landscape: music has become one of the last major consumer categories that hasn't gone 'creator-first.' While platforms like Instagram, TikTok, and YouTube have transformed photo and video consumption into participatory experiences, music listening remains largely passive. The company's focus on derivatives rather than generation reflects a nuanced understanding of both technology and human behavior. While generative AI has captured headlines, most people aren't looking to become music creators—they want to participate in music culture in ways that require less technical skill. GRAI's approach acknowledges this reality while still leveraging AI's capabilities. The startup's emphasis on working with artists and labels first represents a more sustainable approach than many AI companies that have faced legal challenges for using copyrighted material without permission. By establishing relationships and permission structures upfront, GRAI is building a foundation that could avoid the regulatory pitfalls that have plagued other AI music ventures. What Happens Next As GRAI rolls out its initial apps, the company will be closely watching user feedback to refine its approach. The success of these early products will likely determine the company's direction and potentially influence how other AI music startups approach the market. If GRAI's model proves successful, we may see a shift in how AI companies approach creative industries—focusing on augmentation and participation rather than replacement. This could lead to new licensing frameworks that acknowledge the value of derivative works while protecting original creators. The company's focus on Gen Z and Gen Alpha suggests they're thinking long-term about the future of music consumption. As these generations become the primary music consumers, their preferences for social, interactive experiences could reshape the entire industry. Ultimately, GRAI's success will depend on whether they can deliver on their promise of making music more social while fairly compensating artists. If they achieve this balance, they could create a new paradigm for AI in creative industries—one that prioritizes human connection and artistic integrity over pure technological capability.