Performance Marketing Manager

Spotify now verifies artists that are human, not AI. Still struggling to spot when you're streaming AI-generated music instead of human-made tunes? Spotify is trying to help. On April 30, the streaming giant announced it would be launching an official "Verified by Spotify" badge across its platform to distinguish human artists from synthetic-only profiles. The badge, a light green check mark next to the artist's name, is determined by an automatic filtering system based on the profile's engagement history and listener activity, its compliance with Spotify policies, and authenticity markers found on and off the platform. Spotify's system will look for live concert dates, merchandise, and linked social accounts, for example. Spotify says it will also use human reviewers to verify profiles "behaving in good faith," based initially on the platform's most searched artists. The company says the policy will continue to evolve with the music industry, including considerations for human artists who use AI to create music. In addition to verification, Spotify is beta-testing expanded artist information - akin to "nutrition facts" on food products - that will provide more context about an artist's history and authenticity. Artists will also be given greater control over what appears on their profiles. The badge will roll out slowly over the coming weeks. Users have called attention to a growing number of AI-generated songs and AI-only artist pages on Spotify, as well as a rise in algorithmic recommendations that push AI music into user playlists. Last year, the platform came under fire for allegedly adding AI-generated music to the profiles of deceased artists. Many Spotify listeners have bristled at the presence of entirely AI-generated profiles on the streaming app and have called for visible AI disclosures on music pages. Spotify has previously announced expanded spam filtering systems, AI disclosures, and impersonation policies. In January, the company told Mashable editor Rachel Thompson that the platform "doesn't give AI-generated music any special treatment." A Spotify spokesperson added, "While we don't penalize artists for using AI responsibly, we are aggressive about taking down content farms, impersonators, or anyone trying to game the system." Share via:

Podcast news. Daily podcast industry news & new releases Spotify debuts ai-powered ad tools while Apple hosts transform video creation. Spotify rolls out machine learning bidding tools and split testing features for advertisers, while Apple's new HLS video standard reshapes how creators approach podcast production and distribution. The podcast advertising landscape shifted into a new gear this week as Spotify launched its most significant update to advertiser tools in years, while Apple's video revolution continues to gain momentum with hosting partners rapidly expanding their HLS capabilities. Spotify gets smarter about ad spend. Spotify has introduced automated bidding powered by machine learning that adjusts campaigns in real time based on market dynamics. Rather than relying on manual bidding strategies, the new system optimises automatically to maximise advertiser impact on the platform. Alongside this, they've launched split testing tools that allow brands to compare different creative elements across metrics like completion rate, click-through rate, and cost per acquisition. For its clients who are serious about advertising revenue, this matters enormously. Launchpodstudios has been watching Spotify's ad exchange mature since its launch last year, and whilst some advertisers report higher CPMs, these new tools level the playing field for smaller shows. The machine learning approach means you don't need a massive media buying team to compete - the algorithm does the heavy lifting. When Launchpodstudios is helping clients develop advertising strategies, having these automated tools means Launchpodstudios can focus more on creative quality and audience targeting rather than getting bogged down in manual bid management. The platform is also testing carousel ads - swipeable display formats that let brands tell visual stories directly in the Now Playing view. Early beta testing with brands like Priceline and eBay shows strong engagement, which signals that visual advertising within audio experiences is becoming the new normal. Apple's video standard gains traction. Apple's HLS video streaming continues its rapid expansion, with hosting providers now including Acast, ART19, Omny Studio, Simplecast, Transistor, Audiomeans, PodBean, Captivate, RSS.com, Podigee, and several others. The technology allows seamless switching between audio and video within episodes, automatic quality adjustment based on connection speed, and - crucially - dynamic video ad insertion. Launchpodstudios is seeing real excitement from its video podcast clients about this development. Until now, video ads were often baked into the file, making them impossible to update or regionalise. With HLS, creators can serve different ads to different audiences, update sponsorship messages, and even insert host-read video segments dynamically. That's a game-changer for monetisation, especially for shows that want to maintain the personal connection of host-read ads whilst scaling their reach. What's particularly interesting for its production workflow is how HLS handles the technical complexity. The system automatically generates different video resolutions and bitrates, so Launchpodstudios don't need to create multiple versions manually. It also separates the audio track as its own "rendition," which means listeners can switch to audio-only mode without any interruption - perfect for its clients who want to serve both audiences who prefer to watch and those who prefer to listen. The business reality behind the tech. Both developments point to the same trend: podcasting is becoming a serious advertising medium that demands serious tools. Spotify's machine learning bidding reflects advertisers' need for performance and accountability, whilst Apple's HLS video standard acknowledges that modern audiences expect seamless multimedia experiences. For independent podcasters and the studios that support them, this represents both opportunity and pressure. The opportunity lies in more sophisticated monetisation options and better user experiences. The pressure comes from needing to keep pace with technical developments whilst maintaining the authentic, personal feel that makes podcasting special. Launchpodstudios is helping its clients navigate this balance - embracing new capabilities like dynamic ad insertion and video streaming whilst ensuring their content remains genuine and engaging. As these platforms become more sophisticated, the importance of professional production and strategic thinking only increases. The tools are getting better, but they still require expertise to use effectively.