Yes, celebrities are making all sorts of cringey comments on AI, but lambasting them for acknowledging the technology is here, likely already endemic, and even comes with some compelling use cases isn’t progressing the conversation. AI is currently shaping our digital and material lives in ways that are useful and exciting and noxious and terrifying, often through mechanisms that are mostly beyond the consumptive or creative purview of any one person.
Demi Moore weighed into the debate surrounding artificial intelligence during the Cannes Film Festival jury press conference on Tuesday, saying that “AI is here” and Hollywood should “find ways in which we can work with it.” Asked her thoughts on how AI is impacting the movie business, Moore said, “I always feel that against-ness breeds against-ness. AI is here. And so to fight it is to fight something that is a battle that we will lose. So to find ways in which we can work with it I think is a more valuable path to take.”
Source: Demi Moore Says Hollywood Must ‘Find Ways’ to Work With AI
The world of AI entertainment is getting thornier and more divided with each passing day. The Oscars represent a visible flashpoint, but more consequential AI battles are being fought off-camera — including at elite film schools and cultural institutions. From USC to NYU’s Tisch to CalArts, AI is being added to grants, software access and curriculum design, often in direct partnership with the companies building AI tools — including Adobe, Google and Runway, among others.
Source: USC to NYU: AI’s Stealth Film School Takeover Has Begun
Tencent Music Entertainment, China’s largest music streaming service provider, says it took down more than 250,000 policy-violating songs and reviewed over 600,000 cases involving “high-risk copyright content” across its platforms last year. The figures come as TME said it bolstered compliance and risk management across key areas in 2025, including copyright licensing, emerging AI risks, and its overseas business expansion.
Source: Tencent Music took down over 250,000 songs amid ’emerging AI risks’
Artificial intelligence has significantly changed how music is produced and distributed. Traditionally, creating music required years of training, access to expensive equipment, and advanced technical skills. Today, AI-driven platforms allow users to generate melodies, beats, and harmonies within minutes. One of the most exciting innovations in this space is the ability to convert ideas directly from text to song generation systems.
Source: The Evolution of AI Music Creation in the Digital Age
Paramount Pictures and Warner Music Group have announced a multi-year, first-look deal for theatrical films. The partnership will see the companies develop movies drawing on the lives and music of WMG‘s roster of artists and songwriters. Robert Kyncl, CEO of Warner Music Group, said: “This collaboration with Paramount unites two forward-looking and innovative companies, and together we’re taking a fresh approach to the space.”
Source: Warner Music Group and Paramount strike deal for theatrical films based on WMG artists
Call it a reverse Turing Test. As AI-generated writing floods the internet, more people are trying to detect which creators are using such tools to spin up copy. That means writers penning all their own work—and people who acknowledge using chatbots for help—are trying to master something they never worried about before: how to sound human. Like many writers, Harvard fears being accused of wielding machine-made material. She’s seen it happen to others and is proactively trying to prove her human bona fides.
Source: Writers Are Going to Extremes to Prove They Didn’t Use AI
It’s not exclusive to the music industry. The sheer volume of AI-generated podcast content is beginning to affect traditional discovery methods across the industry that podcast creators and their listeners rely on. Over a period of just nine days, nearly 39% of new podcast feeds were identified as potentially AI-generated. This rising trend in “podslop” was recently illustrated by data from the Podcast Index. Most of these shows target high-volume search terms, such as health and wellness or celebrity biographies.
Source: The Audio Landscape is Overrun by AI ‘Podslop’—It’s Not Just a Music Industry Problem
For years, artists have operated inside a system where millions of streams translate into fractions of a cent, algorithms dictate visibility, and ownership is often diluted long before a song reaches an audience. The conversation around AI is not a battle between humans and machines over creativity. It’s a structural shift that puts the entire artist economy at risk, and how we respond will determine if AI expands opportunities or quietly erodes them.
For now, most established collecting societies are not representing GenAI-music creators, amid concerns over the training models of the platforms that they use – and also questions about whether their work even qualifies for copyright protection. A new organization called Aimpro is hoping to fill the gap, pitching itself as “the first PRO designed to serve creators of generative AI works, allowing AI music creators to collect royalties for their work on a global basis”.
Source: There’s now a collecting society just for AI-generated music