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Spotify Announces ‘AI Persona’ Label for Artist Pages That Don’t ‘Represent a Real Person’ — Complete With Manual Profile Reviews, an Appeal Process, and More
Millions of machine-generated tracks – and more than a few listener complaints – later, Spotify is officially set to begin labeling AI artist profiles.  The DSP formally revealed the incoming labels and the policy particulars thereof today. At present, one can self-disclose that an artist page “does not represent a real person.” And starting on mobile in mid-September, Spotify will then identify the appropriate profiles with an “AI Persona” badge.  Interestingly, however, there’s more to the system than voluntary disclosures. In its own words, Spotify intends to “review artist profiles and identify those whose public identity—the identity an artist presents on their profile, including name and imagery—appears to represent photorealistic AI-generated identities.” On the “appears” front, the standard badge – meaning that resulting from self-disclosure – will simply read “AI Persona.” But the profiles Spotify identifies as AI-powered will be slapped with a “Likely AI Persona” label, with both expected to be displayed “in the banner and About section,” search results, “and on track rows across playlists.”  “Spotify reviews artists with a large audience. Based on that review, we believe this artist’s public identity may be AI-generated,” the Likely AI Persona description reads. Speaking of slop, the streaming service in its announcement acknowledged listeners’ frequently indicating “that they don’t like seeing an artist profile that seems human, only to find out that the persona is AI-generated.” 

 

The Metadata Debt Problem: How Independent Labels Lose Control of Their Catalogs
Bad metadata rarely breaks a release on day one. It causes problems months (or years) later, when nobody remembers where the info came from. Most metadata mistakes look harmless when they happen.  A producer is credited under a nickname on one release and a legal name on the next. A songwriter’s suffix is missing. A featured artist’s name is styled differently across platforms. The copyright line on the packaging does not match the information delivered to the distributor.  The song still comes out, though. There is no emergency meeting. No one delays the campaign. The team moves on to the next release, and the inconsistency quietly becomes part of the catalog. That is how "metadata debt" begins. Metadata debt is the backlog of incomplete, conflicting, or unverified information attached to a label’s releases. One error is usually manageable. The problem appears when small errors accumulate across dozens (or hundreds) of tracks.  Eventually, someone needs a clear answer. That is when a two-minute confirmation turns into an afternoon of searching through old emails, spreadsheets, agreements, and messages. A growing independent label can quickly accumulate hundreds of contributor names, roles, identifiers, publishing details, copyright lines, approvals, and ownership records. Even a small percentage of inconsistencies creates a large cleanup project.  The label may own the recordings while still lacking a reliable record of what is attached to them. Eventually, the catalog needs an answer immediately — and “probably” is no longer enough. Independent labels do not need perfect metadata from their first release. They need a process that keeps unanswered questions from becoming permanent catalog problems.  The best time to confirm the information is while the project is still active. After that, the label starts paying interest.

 

New YouTube creators will need 8,000 watch hours to start earning from ads – double the current bar
YouTube is doubling the amount of viewing a new creator must generate before they can start earning a share of the platform’s advertising and subscription money.  From February 1, 2027, new applicants to the YouTube Partner Program (YPP) will need 8,000 qualified watch hours over the previous 365 days, or 20 million qualified Shorts views over the previous 90 days.  Both figures are double the current entry requirements of 4,000 watch hours and 10 million Shorts views. The 1,000-subscriber requirement is unchanged. “With over 3 million creators in the program, we’re making the first significant changes since 2018 to ensure that YPP continues to be the leader in the creator economy by meaningfully rewarding active creators,” said YouTube. The new terms, which creators can review and sign in YouTube Studio, take effect on February 1, 2027.

 

Country musician Tommy Detamore dies at 70, shortly after Western swing honor
Country musician Tommy Detamore died on Wednesday, Aug. 5, his wife of 41 years confirmed on social media. He was 70.  "Tommy was and will always be remembered as a respected musician, producer, collaborator, mentor, and creative force in Country Music. Not to mention the love of my life," Sandra Detamore wrote on an Aug. 6 Facebook post. "His work has and will always leave a lasting mark in the country music community." He is survived by his wife Sandra and their son Thomas. His cause of death was not shared. "My son and I take comfort in knowing he is at peace and is now with his family and that his music will live on and will be cherished forever," Sandra wrote. "Please continue to pray for me and my family and our Drama Kids Staff as we figure out how to honor my beloved 'Steelman.'" His death comes after he was unable to attend a Cowtown Society of Western Music ceremony in Wichita Falls, Texas, on July 25, where he was honored with the Hero of Western Swing award. "I was unfortunately unable to attend, so I also thank my friend Michael Markwardt for accepting on my behalf!" he wrote on Facebook that day.When news of Detamore's passing broke, several country artists paid homage online, including "From a Table Away" singer Sunny Sweeney, who called him "my great friend and mentor." She said she wishes him "smooth sailing up to heaven. I just spoke with him three days ago and we discussed a new project we were gonna work on.” Texas singer-songwriter Gary P. Nunn took to Instagram to say Detamore was "the absolute best in any category of virtues you can imagine" and described their time working together as "the highlight of my career."

 

Social Media in the Age of AI: The Internet’s Next Luxury Is Proof You’re Human
As AI floods social feeds with more content than audiences can meaningfully process, the creator economy is entering a new phase: proof. The internet has a trust shortage. Content is everywhere, but trust and connection are scarce.  Here's why.  Generative AI has made it possible to produce captions, videos, images, comments, scripts, ads, and entire content calendars at a speed no human team could match (or would want to). For brands, marketers, and creators, efficiency can feel seductive. AI can help brainstorm, edit, translate, repurpose, and scale. But the same force that makes content easier to create is making it easier to ignore. Social media has always been built on a simple human exchange: people follow people, not marketing systems. They follow taste, humor, vulnerability, expertise, timing, identity, and point of view. They follow because there is a person on the other side who sees something the way they do, or sees it in a way they never could. In an AI-saturated internet, that human signal becomes more valuable, not less. AI can make the work faster, but it cannot manufacture cultural intuition or human emotion. It cannot know which behind-the-scenes post will make fans feel closer. It cannot replace the moment a creator responds honestly to their community. It cannot fake the long-term trust that comes from showing up consistently with a recognizable point of view. It cannot even pronounce many words correctly. AI now floods the feed and real connection is scarce. But scarcity is where value lives.

 

Music Reports Celebrates 10 Years of Songdex Marketplace, Expanding Scalable Music Licensing
Launched in 2016, Songdex Marketplace was built to reduce friction in music licensing. The platform connects DSPs with administrators of mechanical rights through an opt-in system. Publishers can review licensing proposals and choose whether or not to participate.  The Songdex Marketplace model addresses a long-standing industry challenge. Digital services often need to negotiate with thousands of separate rights holders. That process can create substantial administrative costs and delays. Incomplete song-rights metadata can also expose services to copyright infringement risk. “For the past decade, the Songdex Marketplace has demonstrated that innovation and copyright compliance do not have to be in conflict,” Bill Colitre, COO of Music Reports, told Digital Music News. “By giving rights holders complete control over participation while providing licensees with a clear path to secure rights at scale, we have reduced friction and risk throughout the licensing ecosystem. The result is a marketplace that helps creators get paid, allows services to manage copyright responsibly, and enables new business models to reach consumers faster.”Music Reports is a music rights administration and licensing company. Its Songdex ecosystem supports music publishers, rights holders, and DSPs with song data management, royalty accounting, copyright compliance, and scalable licensing tools.

 

Being a Musician in 2026 Is a Full-Time (Platform) Job
Digital platforms lowered the barriers to releasing music, but their growing demand for content, tech management, and adaptive upkeep take a toll.   Five years ago, releasing music digitally meant distributing a track, writing a bio, maybe pitching a playlist.  That was kind of it. The platform was a delivery channel.  Now? On Spotify alone there's Canvas, Clips, full-length video and more. Apple Music has its own editorial criteria, analytics dashboards, custom artist pages. YouTube wants Shorts and long-form. TikTok is a whole separate game. And then there's whatever distributor dashboard you're logging into this week. Every platform keeps shipping new features, each one promising better engagement, more discovery, higher conversion. That's great in theory. In practice, every single one of those features takes time away from actually making music. That's just how tech works. To stay competitive, platforms roll out new stuff fast. Some of it lands. Some gets quietly killed off. For most listeners, a streaming profile is just a page with songs on it. For an artist, it's their storefront, their brand, their main touchpoint with their audience. When something goes wrong there, it's not a minor thing. It can directly mess with how people find and hear their music. What most people don't realize is that behind that clean interface there's a pretty gnarly technical stack. Metadata pipelines, distribution systems, content matching algorithms, multiple databases updating on different schedules. A release showing up under the wrong name, analytics not reflecting right, a new track just not appearing on time. An artist's career increasingly depends on digital platforms they don't own or control, making them vulnerable to technical issues, algorithm changes, and platform decisions. Platforms are not going to simplify. They're competing by building more.  The real question is: What happens to the artists who can't keep up, and whether the democratization that digital distribution once promised is slowly being undone by the very tools that were supposed to make it possible?

 

Court declines to dismiss independent artists’ copyright class action against Udio – but moves the case from Illinois to New York
A federal judge has declined to dismiss the copyright class action brought against AI music generator Udio by a group of independent artists. Udio is free to renew its motion to dismiss once the case arrives there.  The lawsuit was filed on October 15, 2025 by ten independent musicians and songwriters, suing Udi Eight of the plaintiffs are based in Illinois, one in Georgia and one in California.  Their First Amended Complaint, filed on January 7, 2026, brings 14 counts.  These include seven counts of copyright infringement, three under the Digital Millennium Copyright Act, plus claims under Illinois‘ Biometric Information Privacy Act and Right of Publicity Act, a deceptive trade practices count, and a claim of unjust enrichment. The complaint challenges what it calls Udio‘s practice of “systematically copying and storing works by independent artists to fuel a commercial, mass-market music-generation engine.” Both the major labels and the independent artists are now set to litigate against the company in the Southern District of New York.dividually and on behalf of all others similarly situated.”

 

The Price of Music: streaming fraud – how does it work and who’s doing it? 
This week, the podcast pivots to the popular TRUE CRIME format in order to woo a giant mainstream audience. OK, not quite – but sort-of. Stu and Joe have spoken a lot recently on the show about how AI-generated music accounts for 50% of music uploaded to streaming platforms – and how the reason for it, it seems, is for it to be used for fraud. So in this episode they’re having a good old root around music streaming fraud: how it works, who is doing it, why so much AI music is needed – and how much money can be made. It’s a good primer if you want get up to speed with the topic: how streaming fraud is mainly organised crime flooding platforms with AI tracks, hijacking real user accounts, and siphoning millions out of the artist royalty pool. How up to 7% of global streams might be fake, driven by schemes ranging from bot farms to prediction market gamblers manipulating charts to win wagers. And how in response, streaming services are cracking down by fining distributors, wiping illegitimate streams, and purging dead AI catalogue to protect payouts for real creators. 

 

How AI is Quietly Automating Music Companies: From A&R to Release Ops
The music industry has been consumed by AI debates – from lawsuits involving Suno and Udio to major-label licensing deals. Now the focus is shifting to a bigger question: how do we work with AI-generated music legally, and what will it mean for the future of artists, labels, and streaming platforms? Almost no one has been watching the back office. And the back office is where the real shift is happening today. Over the past year or so, a quieter class of AI has moved into production inside labels, distributors, publishers, sync agencies, and artist management teams: not generative models making songs, but agents – LLM-driven systems with tools, memory, and the ability to plan and execute multi-step workflows.  They audit incoming delivery packages. They write the morning ops brief. They route what a producer typed in email straight into metadata fields. They watch stream count and flag breakout artists before competitors notice.  Let’s take a closer look at what’s actually shipping, what’s still hype, and what it means for the people whose jobs are quietly being rebuilt around the agent. A useful working definition, borrowed from the broader engineering literature: an agent is a system that takes a goal, decomposes it into steps, calls tools (APIs, databases, browsers, other agents), observes the results, and iterates until it has a defensible answer or a completed action. Inside a music company, the tools an agent reaches for are very specific: a file system, a DDEX feed, a distributor’s API, a Luminate or Chartmetric time series, a publishing administration platform, a Shopify webhook, a Slack channel, a Gmail inbox, a contract PDF. The interesting work in 2026 is not the model, as every serious team is using the same handful of frontier models. It is which tools have been wired up to it, and which workflows have been re-modeled around the assumption that an agent, not a human ops associate, is the first pair of eyes. CAN YOU SAY "JOB REPLACEMENT?"

 

90,000 AI tracks flood uploads daily – passing 50% of all new music uploads for the first time
The volume of fully AI-generated music being uploaded to streaming services has surged yet again.
According to eye-opening new stats revealed by Paris-headquartered streaming service Deezer today (July 21), fully AI-generated music accounted for more than half of all new tracks uploaded to its platform for the first time in June.  Deezer says it was receiving nearly 90,000 fully AI-generated tracks every day in June.  On peak days, that content made up more than 50% of all new music delivered to the service. The 90,000-a-day peak marks an escalation from the 75,000 AI tracks a day, or 44% of daily deliveries. The trend has prompted a  record-industry push for transparency, with the RIAA and IFPI campaigning to label AI tracks as either “AI-generated” or “AI-assisted” across the world’s streaming services. Deezer says it detected and tagged more than 13.4 million AI tracks across 2025, and that its tool can identify fully AI-generated music from generative models including Suno and Udio.

 

Why are people buying so many CDs?
CD sales are apparently going up, reportedly thanks to fans realizing they’re an affordable way to support their favorite artists. According to a new report from research firm Luminate, 16.3 million CDs were sold in the first half of 2026 in the US, a 16 percent increase year-over-year. The growth in CD sales was driven by “collection building and price accessibility. The data suggests that “the CD has been recontextualized from a functional audio format into an affordable collectible,” Luminate says. “This behavior underscores that for younger generations, the act of buying physical music is as much about aesthetic ownership and direct financial support for the artist as it is listening to the music on the product itself.” Physical album sales — vinyls, CDs, and cassettes — were up overall as well, increasing 7.8 percent year-over-year. Vinyl sales were at 21.8 million units and cassette sales hit around 205,000 units, Luminate’s Denise Schenasi tells The Verge. The higher vinyl sales continues a trend of the format outselling CDs that has been going for a few years now.

 

Have We Hit Dystopia Yet? Band Wakes Up to Find AI Has Stolen 94% of Their Spotify Royalties by Duplicating Their Album and Altering the Speed
Musician Owen Lyman-Schmidt found out that his work had been stolen when a longtime fan of his band, Makeshift Hammer, messaged him to let him know an album on Spotify sounded as if someone had taken his music and “distorted it a bit.” They sent a link to an album called Blue Road by an artist named Carey Dupont.  “I had never heard of Carey Dupont. And if you looked closely, the album art didn’t quite make sense,” Lyman-Schmidt wrote. “Dupont had no other releases that I could find and was seemingly otherwise unknown to the internet.” Lyman-Schmidt describes Makeshift Hammer as “Philly’s premier mandolin-bass guitar-junk percussion gutter-folk duo, which is a fancy way to say we know a thing or two about being unknown.” He and his bandmate Bobby have been playing together “for a dozen years,” and music isn’t their day job; in fact, Lyman-Schmidt is a private detective.  “But Carey Dupont seemed even more off the grid than we were. They had no website, no social media, no dead ticket links to past shows, no profile in alt-weeklies,” he explained. “Nothing except Blue Road, the album, on every streaming service.” Makeshift Hammer’s fans and friends alike agreed that there must be some way to address the issue. “The theft is so blatant,” wrote one listener. Soon, the duo learned that another local Philly musician, Katie Feeney, better known as Roberta Faceplant, had experienced a similar problem. By now, the tracks from the Blue Road album had surpassed 650,000 listens, and it seemed near-constant and obviously inflated listens using bots. The fake listener bots havebeen plaguing Spotify and other music streaming platforms well before the birth of today’s AI. The combination of AI music fraud and artificially inflated streams is a symptom of a larger streaming-era problem: platforms have made music far easier to distribute at the cost of authenticity. Distorted streams, royalties, and artist visibility are plaguing smaller artists who already have to fight to be seen and heard. So what are the major industry players willing to do about it?

 

Meta’s Newest AI Tool Is Using Your Instagram Photos Without Permission
Meta has launched a new AI generator, available for free through the Meta AI app, as well as on Instagram Stories and WhatsApp. It’s already a problem.  Worse still, Meta policy states that “people may be able to create content with your Instagram content using AI features at Meta,” and that users “will not be notified about content created using AI features at Meta.” However, Meta claims that users “have control” over this feature, stating that there are settings to disable this kind of use of one’s pictures—but it’s clearly an “opt-out” situation rather than an “opt-in.” Meta is launching a slew of Muse-powered AI effects for Instagram Stories, including customizable filters that can be used to modify existing photos. The company also teased Muse Video, an AI video generator, which is “already in development,” but information on that tool is currently scarce.Meta announced the launch of its new AI image generator, Muse Image, built by its dedicated AI unit, Meta Superintelligence Labs. The tool is now available for free via the Meta AI app, as well as on Instagram Stories and WhatsApp.  Muse is mostly the same as other AI image generators on the market; it comes with a variety of preset image prompts to help users “spark ideas.” However, as TechCrunch points out, the model is already causing problems.

 

NMPA Releases Latest Per-Stream US Publisher Payouts from Spotify, YouTube, Apple, and Amazon
NMPA president and CEO David Israelite unveils the latest per-stream songwriter and publisher payout across Spotify, YouTube, Apple, and Amazon.  In a post on LinkedIn, National Music Publishers’ Association President and CEO David Israelite unveiled the latest per-stream songwriter and publisher payout. These numbers represent both mechanical and publishing sub-licenses across Spotify, YouTube Music, Apple Music, and Amazon Music. Notably, YouTube is not at the bottom of that barrel.  “How much is 1 million streams worth to the songwriters who make these businesses possible? And remember—most songs are written by 4-5 songwriters, so this amount is split among all of the writers and publishers,” Israelite wrote, noting in an email to Digital Music News that this data from the Mechanical Licensing Collective (MLC) is only inclusive of the U.S., across both mechanical and performance payouts. Specifically, Spotify’s free, ad-supported tier saw a payout of $800, (.0008 per stream for publisher and writers combined) while individual paid Spotify accounts raked in $1,346 (.001346 per stream) Individual YouTube accounts led to a payout of $2,159 (.00216 per stream); individual Apple accounts amounted to $2,367 .00237 per stream), while individual Amazon accounts led to a payout of $3,743 (00374 per stream). Already, A&R representatives and others across the industry are speaking out about those numbers, noting that they represent broader issues across the royalty payout structure.

 

AI Could Use as Much Water as 1.3 Billion People by 2030, U.N. Report Warns
The water used by artificial intelligence is expected to equal the needs of 1.3 billion people by 2030—threatening natural resources for billions around the world. That’s according to a new report from the United Nations University Institute for Water, Environment and Health (UNU-INWEH) which quantifies the carbon, water, and land footprints of AI's electricity use around the globe. The report finds that AI’s environmental cost is often mismeasured—focusing solely on carbon emissions. However, cooling and generating power for data centers comes with a “water footprint,” while the energy infrastructure and supply chains to build the data centers have a “land footprint.” These are important factors to consider, the report says, when analyzing the stressors a region might be facing due to data centers. By 2030, the report finds, global data centers powering artificial intelligence are projected to consume 945 terawatt-hours of electricity. This is nearly triple the combined annual electricity use of Pakistan, Bangladesh, and Nigeria—countries that together are home to more than 650 million people. The water footprint of data centers is projected to equal the basic domestic water needs of all 1.3 billion people in Sub-Saharan Africa for a year, while their land footprint could exceed 5,590 square miles.But switching to cleaner sources of energy isn’t as simple as it sounds. Minimizing one footprint could come at the expense of magnifying another, researchers say. For example, switching from coal to bioenergy cuts electricity’s carbon footprint by 70%—but increases its water footprint more than 30-fold and its land footprint 100-fold. For a number of communities around the globe, AI is already using up significant energy resources. In 2025 alone, data centers consumed an estimated 448 terawatt-hours of electricity, the report found—more than the country of Saudi Arabia. In many cases, this excessive energy use comes at a cost to those who reside near them.