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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.

Revolutionizing Podcast Consumption Spotify is taking a significant leap in podcast consumption by introducing AI-powered features that allow users to create personalized podcasts based on their interests. The company has released a GitHub-based command-line tool that enables users to generate podcasts using Claude Code and Codex, which can be saved to their Spotify library. Personalized Podcast Generation Users can create podcasts by providing custom prompts, such as "Share my daily city updates, and tell me about local concerts from artists I love," or "Help me understand economics in five minutes." They can also add links, PDFs, and text, and choose a custom voice to generate podcasts. AI-Powered Q&A; Feature Spotify is rolling out an AI-powered Q&A; feature for Premium mobile users in the U.S., Sweden, and Ireland. This feature allows users to ask questions about the episode they are listening to or a concept mentioned in the podcast to get answers. They can also ask for podcast recommendations on specific topics. Creator Tools and Features Creator sponsorship tool to manage brand partnerships Option for creators to charge a subscription to unlock exclusive content and experiences The Future of Podcasting With these new features, Spotify aims to increase user engagement and make podcast consumption more personalized and interactive. The company is taking a leaf out of other innovative apps, such as NotebookLM and ElevenLabs reader, to create a unique podcasting experience. Enhanced User Experience The introduction of AI-powered podcast features and creator tools is expected to enhance the overall user experience on Spotify, making it a more dynamic and engaging platform for podcast enthusiasts.

The Launch of Spotify’s AI‑Powered Studio AppSpotify Labs introduced Studio, a standalone desktop application that lets users generate personalized podcasts from emails, calendars, and web searches. The preview, rolled out in more than 20 markets on 2026-05-21, positions the music‑streaming giant against Google’s NotebookLM in the emerging AI‑audio briefing space.How the App Turns Data into a Daily Audio BriefingUsers submit multistep prompts such as “Create a daily audio brief for my road trip through Italy…”An integrated AI agent browses the web, extracts personal schedule information, and assembles a custom podcast.Generated podcasts are saved privately in the user’s Spotify library and synced across devices.The tool is labeled a “research preview,” with Spotify warning that AI‑generated content may be unreliable.Market Implications for Spotify and Its CompetitorsSpotify expands beyond music streaming into AI‑driven content creation, a segment valued at billions of dollars.Competing directly with Google’s NotebookLM, which already offers similar podcast generation.Early adoption could boost user engagement metrics, though no revenue figures are disclosed yet.Strategic Impact on the Audio‑Productivity LandscapeThe launch signals a shift toward audio‑first knowledge workers, challenging text‑centric tools from Adobe, ElevenLabs, and emerging startups like Hero and Huxe. If successful, Spotify could integrate the app with its broader ecosystem, potentially adding system‑audio capture for meeting‑note transcription.Future Outlook for AI‑Generated PodcastsSpotify plans to iterate on the Studio app, broaden market availability, and explore additional integrations such as Granola‑style note‑taking. The next wave may see tighter coupling with Spotify’s Discover feed and monetization through premium podcast features.

The LeadSpotify has introduced a new AI-powered audiobook creation tool in partnership with ElevenLabs, allowing authors to self-publish audiobooks without exclusivity. The platform is expanding to support 10 more languages and aims to generate $100 million in annualized recurring revenue from its Audiobook+ subscriptions.AI Audiobook Creation Platform LaunchAlongside tools for AI-generated podcasts, Spotify on Thursday introduced a new, ElevenLabs-powered AI tool for self-publishing audiobooks within the Spotify for Authors platform. The company said at its Investor Day event that the feature will launch in beta this June on an invite-only basis, initially with support for the English language only.The AI-powered audiobook generation won't bind authors to an exclusive contract, meaning they are free to publish their generated audiobooks anywhere. This approach contrasts with some other platforms that require exclusivity for audiobook distribution.The news builds on Spotify's previous partnership with ElevenLabs, which allowed writers to submit audiobooks created on the voice AI startup's platform to Spotify. The audio streaming platform also already had a partnership with Google Play Books to allow for digitally narrated content. However, it may have wanted authors to access newer voice models that sound more expressive and human-like, like those offered by ElevenLabs. Notably, ElevenLabs had released its own self-publishing platform for authors in 2025.Financial Performance and Growth MetricsSpotify has increased its focus on audiobooks heavily in the last few years and has managed to build its catalog to 700,000 titles. Through these initiatives, the company has managed to bump up listening hours by 60% year-on-year, the company claims. Spotify also said that more than half of its audiobook listeners started in the last year.To date, Spotify has clocked in over a million Audiobook+ subscriptions, and it is on track to generate $100 million in annualized recurring revenue for the platform. The company will expand its Audiobook+ plans this year to allow for higher listening limits and will add new options for students and families in the future.Industry Transformation and Market ExpansionSpotify is also expanding its "Spotify for Authors" platform to support 10 more languages, including French, Canadian French, German, Dutch, Latin American Spanish, Swedish, Finnish, Icelandic, Danish, and Norwegian. This expansion will significantly broaden the platform's reach and accessibility to authors and listeners worldwide.The company brought the program to international markets, made an investment in non-English titles, enabled in-app purchases, and released audiobook charts. This year, it also started a program for authors to sell physical books in the U.S. and the U.K., creating a comprehensive ecosystem for content creators.Future Outlook and User Experience EnhancementsAt the event, the company introduced a new way for users to ask questions using natural language for audiobook discovery. This summer, Spotify will also expand a feature that allows users to create prompt-based playlists for podcasts and music to include audiobooks, it said.These enhancements reflect Spotify's strategy to leverage AI not just for content creation but also for improving user discovery and engagement. The integration of natural language processing for audiobook discovery could potentially revolutionize how users find and consume audiobooks, making the platform more intuitive and user-friendly.

The Shift in Generative Audio CapabilitiesStability AI has significantly advanced its generative audio capabilities with the release of Stability Audio 3.0, a new family of models capable of producing professional-grade music tracks exceeding six minutes in length. This release marks a critical evolution in the company's strategy to compete in the rapidly expanding AI music market.Expanding the Horizon of Generative AudioThe new model family is designed with a tiered approach to accommodate various use cases, from on-device sound effects to full-length compositions.Small SFX (459M parameters): Optimized for on-device sound effects with a limit of two minutes.Small (459M parameters): Suitable for short music generation on devices.Medium (1.4B parameters): Capable of generating full compositions up to 6 minutes 20 seconds.Large (2.7B parameters): The top-tier model for complex, structured audio generation.Scaling from Seconds to Full CompositionsThe leap in capability is evident in the output duration. The Medium and Large models can maintain musical structure and melodic tone for over 6 minutes 20 seconds, a significant upgrade from the previous Stable Audio 2.0, which was limited to 47 seconds or 2 minutes depending on the model.Navigating the Licensed Data LandscapeAs competition heats up with players like Google and ElevenLabs, Stability AI is differentiating itself through a strict adherence to licensed data. The company has secured partnerships with Warner Music Group and Universal Music Group, ensuring the models are built on ethically sourced datasets.Furthermore, the company is pivoting towards professional markets by hiring industry veterans. Ethan Kaplan, formerly of Universal Audio and Fender, has been appointed to lead the professional music offering, signaling a strategic shift toward tools that professional musicians can actually use.The Professionalization of AI Music ToolsThe industry is moving away from purely consumer-facing tools toward licensed, professional-grade suites. As legal battles over data usage continue, companies that prioritize licensing partnerships and hire experienced music executives will likely dominate the long-term market.

Executive summary: Vapi’s $500 M valuation milestoneVapi announced a $50 million Series B led by Peak XV Partners, lifting its post‑money valuation to roughly $500 million. The round follows Amazon Ring’s decision to route 100 % of its inbound calls through Vapi’s AI voice platform.Amazon Ring selects Vapi to power 100 % of inbound callsDuring the holiday surge of 2025, Ring evaluated over 40 AI voice vendors before choosing Vapi for its ability to give engineers granular control over live‑customer interactions. Ring’s VP of software development, Jason Mitura, reported higher customer‑satisfaction scores and faster iteration without deep engineering involvement.Funding round and valuation metricsSeries B amount: $50 millionLead investor: Peak XV PartnersParticipating investors: M12 (Microsoft), Kleiner Perkins, Bessemer Venture PartnersTotal funding to date: $72 millionPost‑money valuation: ~$500 millionAnnual recurring revenue run‑rate: eight‑figure (healthy)Implications for the AI voice market and enterprise call centersThe partnership demonstrates a shift toward AI agents that combine low‑latency voice infrastructure with enterprise‑level control over reliability, compliance, and model behavior. Vapi’s platform now handles over 1 billion calls, processing between 1 million and 5 million calls daily, with customers such as Kavak, Instawork, New York Life, UnityAI, Cherry, and Intuit.Future outlook for Vapi and AI voice adoptionWith a workforce of ~100 employees and plans to expand engineering, infrastructure, and go‑to‑market teams, Vapi is positioned to capitalize on the “golden problem” of taming large language models for voice. Analysts expect continued growth in enterprise AI voice deployments, and Vapi’s focus on the orchestration layer could differentiate it from rivals such as Sierra, Decagon, and ElevenLabs.

The Next Phase of Robinhood's Retail Venture Strategy Robinhood is gearing up to launch its second retail venture fund IPO, RVII, just two months after listing its first venture fund on the stock market. The company has filed a confidential registration, a standard regulatory step that allows it to work through the approval process before making details public. Expanding Investment Scope Unlike its first fund, which currently holds stakes in 10 late-stage companies — Airwallex, Boom, Databricks, ElevenLabs, Mercor, OpenAI, Oura, Ramp, Revolut, and Stripe — RVII will cast a wider net, investing in growth-stage and early-stage startups. This distinction is meaningful, given that early-stage startups are younger and carry more risk but also offer the potential for greater returns. Fundraising and Performance The fundraising target for RVII has not yet been set. For its inaugural fund, Robinhood sought to raise $1 billion but ultimately fell several hundred million short of that goal. Despite the shortfall, the first fund has performed strongly, with its stock price more than doubling since its debut on the NYSE at $21 a share in early March. Democratizing Startup Investing The premise behind both funds addresses a longstanding gap in who gets to invest in startups. Under federal rules, only 'accredited' investors — those with a net worth exceeding $1 million or annual income above $200,000 — can put money into private companies. RVI and RVII are designed to change that, letting anyone invest in a portfolio of private startups through a regular brokerage account. The Future of Retail Investing in Startups Robinhood CEO Vlad Tenev envisions a future where retail investors can participate in the earliest stages of startup growth. 'The aspiration is, if you're a company raising a seed round and a Series A round — so, just first capital — retail should be a big chunk of that round, much like it now is in the public markets,' Tenev said. The Potential Impact If Tenev's vision takes hold, it could fundamentally change how startups raise their earliest capital, with retail investors eventually sitting alongside venture firms, including in the earliest rounds, where the biggest returns are often made.

For the first time in Hollywood history, an authorized generative‑AI version of a major star headlines a feature film. The western As Deep As the Grave showcases a digitally recreated Val Kilmer, whose voice was synthesized by UK‑based firm Sonantic using archival recordings. The project, delayed by Kilmer’s death in April 2025, received full cooperation from his estate and his daughter Mercedes, who helped craft the visual deep‑fake of the actor. Mercedes Kilmer confirmed that her father embraced emerging technologies as a storytelling tool, a sentiment the filmmakers say they honored throughout production. At Wednesday’s CinemaCon trade show in Las Vegas, the trailer revealed that Kilmer’s character, Father Fintan—a Catholic priest and Native American spiritualist—appears for roughly one hour of screen time. The footage shows the priest at different ages, including a spectral elder who advises a child, “Don’t fear the dead and don’t fear me.” Writer‑director Coerte Voorhees explained that the narrative was built around Kilmer’s heritage and his love of the Southwest. He added that the production adhered to SAG‑AFTRA guidelines and that the estate was financially compensated for the use of archival material. The film also stars Tom Felton, Abigail Breslin and Abigail Lawrie. In a March interview with Variety, Voorhees noted that Kilmer’s family repeatedly emphasized the project’s importance to the late actor. The Kilmer case follows a growing trend of AI‑generated performances. In 2022, Bruce Willis consented to a digital twin after a dementia diagnosis, while actors such as Matthew McConaughey and Michael Caine have licensed their voices to AI firms for approved uses. Estates of legends like Laurence Olivier, Judy Garland and James Dean have similarly partnered with the marketplace ElevenLabs. Beyond film, celebrities are exploring AI for digital meet‑and‑greets; Paris Hilton and Kendall Jenner have reportedly signed deals with Meta for AI‑powered appearances on Instagram, and users can even query an AI version of Deepak Chopra for advice on a range of topics. Nevertheless, some stars remain cautious. Morgan Freeman, Tom Hanks and Scarlett Johansson have publicly expressed skepticism about deep‑fake replicas of their likenesses.