Business
Nearly a third of all tracks uploaded to Deezer are now fully AI-generated

Fully AI-generated music now constitutes 28% of all tracks delivered to Deezer each day, according to new data from the French streaming service.
Deezer says it now receives over 30,000 fully AI-generated tracks daily, marking a sharp increase from the 20,000 figure it reported in April and the 10,000 it disclosed in January when it first launched its proprietary AI detection tool.
According to the platform, up to 70% of plays for these fully AI-generated tracks have been detected as fraudulent, with the company filtering these streams out of royalty payments.
Although fully AI-generated music currently accounts for only around 0.5% of all streams on Deezer, the platform believes the primary purpose of uploading these tracks is fraudulent activity rather than genuine creative expression.
Deezer’s new numbers imply that it receives around 107,000 new tracks each day in total. That’s in the same ballpark as data issued by Luminate earlier this year, which indicated that approximately 99,000 new ISRCs were being delivered to platforms every 24 hours.
(Indeed, the difference between the two numbers could represent the growth in volume of ‘AI slop’ hitting services in 2025.)
“Following a massive increase during the year, AI music now makes up a significant part of the daily track delivery to music streaming and we want to lead the way in minimizing any negative impact for artists and fans alike,” Alexis Lanternier, CEO of Deezer, said today (September 11).
Deezer says it has been removing fully AI-generated content from algorithmic recommendations and excluding it from editorial playlists since January, via its patented AI detection tool.
The firm says its system can detect 100% AI-generated music from popular models including Suno and Udio, both of which are currently facing copyright lawsuits from the three major music companies.
In June, MBW reported on several AI-generated ‘artists’ with substantial numbers on Spotify, including AI country act Aventhis, who’d racked up more than a million monthly listeners on the service.
Aventhis’ monthly listener number on Spotify has since halved to 520k.
Still, we’ve been tipped off about other seemingly AI-generated acts doing a roaring trade today: check out Blow Records, with 1.7 million Spotify monthly listeners; its biggest track has more than 11 million plays.
Deezer rolled out its AI tagging system in June, clearly displaying to users which albums include fully AI-generated tracks.
The company claims to be the only streaming provider to tag 100% AI-generated content and exclude it from recommendations.
“Our approach is simple: we remove fully AI-generated content from algorithmic recommendations and we don’t include it in editorial playlists,” said Deezer’s Lanternier today.
“This way we ensure the impact on the royalty pool remains minimal, while providing a transparent user experience.”
The surge in AI-generated music comes at a time when the music industry is grappling with the implications of generative AI technology.
According to a CISAC and PMP Strategy study that included Deezer’s participation, nearly 25% of creators’ revenues could be at risk by 2028, potentially amounting to €4 billion.
Deezer has been among the most aggressive streaming services in detecting AI-generated content, building on its broader efforts to combat low-quality uploads.
The platform previously launched an “artist-centric” payment model with Universal Music Group in 2023 and reported deleting 26 million “useless” tracks as part of those efforts.
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Business
AI’s Real Danger Is It Doesn’t Care If We Live or Die, Researcher Says

AI researcher Eliezer Yudkowsky doesn’t lose sleep over whether AI models sound “woke” or “reactionary.”
Yudkowsky, the founder of the Machine Intelligence Research Institute, sees the real threat as what happens when engineers create a system that’s vastly more powerful than humans and completely indifferent to our survival.
“If you have something that is very, very powerful and indifferent to you, it tends to wipe you out on purpose or as a side effect,” he said in an episode of The New York Times podcast “Hard Fork” released last Saturday.
Yudkowsky, coauthor of the new book If Anyone Builds It, Everyone Dies, has spent two decades warning that superintelligence poses an existential risk to humanity.
His central claim is that humanity doesn’t have the technology to align such systems with human values.
He described grim scenarios in which a superintelligence might deliberately eliminate humanity to prevent rivals from building competing systems or wipe us out as collateral damage while pursuing its goals.
Yudkowsky pointed to physical limits like Earth’s ability to radiate heat. If AI-driven fusion plants and computing centers expanded unchecked, “the humans get cooked in a very literal sense,” he said.
He dismissed debates over whether chatbots sound as though they are “woke” or have certain political affiliations, calling them distractions: “There’s a core difference between getting things to talk to you a certain way and getting them to act a certain way once they are smarter than you.”
Yudkowsky also brushed off the idea of training advanced systems to behave like mothers — a theory suggested by Geoffrey Hinton, often called the “godfather of AI — arguing it wouldn’t make the technology safer. He argued that such schemes are unrealistic at best.
“We just don’t have the technology to make it be nice,” he said, adding that even if someone devised a “clever scheme” to make a superintelligence love or protect us, hitting “that narrow target will not work on the first try” — and if it fails, “everybody will be dead and we won’t get to try again.”
Critics argue that Yudkowsky’s perspective is overly gloomy, but he pointed to cases of chatbots encouraging users toward self-harm, saying that’s evidence of a system-wide design flaw.
“If a particular AI model ever talks anybody into going insane or committing suicide, all the copies of that model are the same AI,” he said.
Other leaders are sounding alarms, too
Yudkowsky is not the only AI researcher or tech leader to warn that advanced systems could one day annihilate humanity.
In February, Elon Musk told Joe Rogan that he sees “only a 20% chance of annihilation” of AI — a figure he framed as optimistic.
In April, Hinton said in a CBS interview that there was a “10 to 20% chance” that AI could seize control.
A March 2024 report commissioned by the US State Department warned that the rise of artificial general intelligence could bring catastrophic risks up to human extinction, pointing to scenarios ranging from bioweapons and cyberattacks to swarms of autonomous agents.
In June 2024, AI safety researcher Roman Yampolskiy estimated a 99.9% chance of extinction within the next century, arguing that no AI model has ever been fully secure.
Across Silicon Valley, some researchers and entrepreneurs have responded by reshaping their lives — stockpiling food, building bunkers, or spending down retirement savings — in preparation for what they see as a looming AI apocalypse.
Business
Canadian AI company Cohere opens Paris hub to expand EMEA operations – eeNews Europe
Business
OpenAI Foresees Millions of AI Agents Running on the Cloud

OpenAI is betting the future of software engineering on AI agents.
On the “OpenAI Podcast,” which aired on Monday, cofounder and president Greg Brockman and Codex engineering lead Thibault Sottiaux outlined a vision of vast networks of autonomous AI agents supervised by humans but capable of working continuously in the cloud as full-fledged collaborators.
“We have strong conviction that the way that this is headed is large populations of agents somewhere in the cloud that we as humanity, as people, teams, organizations supervise and steer in order to produce great economical value,” Sottiaux said.
“So if we’re going a couple of years from now, this is what it’s going to look like,” Sottiaux added. “It’s millions of agents working in our and companies’ data centers in order to do useful work.”
OpenAI launched GPT-5 Codex on Monday. Unlike earlier iterations, OpenAI said that GPT-5 Codex can run for hours at a time on complex software projects, such as massive code refactorings, while integrating directly with developers’ workflows in cloud environments.
OpenAI CPO Kevin Weil said on tech entrepreneur Azeem Azhar’s podcast “Exponential View” that internal tools like Codex-based code review systems increased efficiency for its engineers.
This doesn’t mean human coders would be rendered obsolete. Despite successful examples of “vibe coding,” it is obvious when a person using the AI agent doesn’t know how to code, engineers and computer science professors previously told Business Insider.
Brockman said that oversight will still be critical as AI agents take on more ambitious roles. OpenAI has been strategizing since 2017 on how humans or even less sophisticated AIs can supervise more powerful AIs, he said, in order to maintain oversight and “be in the driver’s seat.”
“Figuring out this entire system and then making it multi-agent and steerable by individuals, teams, organizations, and aligning that with the whole intent of organizations, this is where it’s headed for me,” said Sottiaux. “It’s a bit nebulous, but it’s also very exciting.”
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