Creative Industries Weekly AI News
September 22 - September 30, 2025This weekly update shows how AI agents are changing creative work in big ways. These smart computer helpers can now work by themselves to support artists, writers, and other creative people.
Algolia made waves with their new Agent Studio platform. This tool lets companies build AI agents that use search as their main power. Think of them as smart assistants that can find exactly what creative teams need without someone having to ask them each time. These agents can work in the background, gathering information and helping with projects.
Tray AI also jumped into the game with their Agent Hub. This platform gives businesses one place to create and control AI workers that can handle boring tasks automatically. Creative teams of all skill levels can now set up these AI helpers to work across different departments. The goal is to let human creators focus on the fun, creative parts while AI handles the routine work.
Proofpoint launched what they call the first agentic workspace for secure teamwork. This platform aims to boost productivity while keeping security and rules built right into AI-powered team projects. It's designed to help creative teams work together safely while using AI tools.
The legal side of AI in creative work remains messy. In Ireland, the government selected 15 authorities to enforce the EU AI Act, making it one of the first six EU countries to do this. The new rules will be fully in place by August 2026, showing how seriously European countries are taking AI oversight in creative industries.
Copyright lawsuits continue to shake up the industry. Anthropic, an AI safety company, agreed to pay $1.5 billion to settle a class action lawsuit. The case claimed that Anthropic trained their Claude chatbot on millions of copyrighted books without asking permission. Authors covered by the settlement will receive about $3,000 for each book that was used. This is just one of many lawsuits against big tech companies like OpenAI, Microsoft, and Meta about using protected creative works to train AI systems.
Many artists argue that AI misses the point of what creativity really means. The process of making art is deeply personal and emotionally rewarding. As one expert put it, AI technology is "a solution to a problem that never existed." Artists don't just want the final result - they value the journey of creating something new. When AI makes art, it skips over the human experience and turns creativity into just pattern matching.
AI learns differently than humans do. It copies data without applying life experience, taste, or real skill. This has led some people to describe AI-generated art as "boring" - just a mix of existing works that lacks originality, personal perspective, or emotional depth.
Environmental costs are becoming a bigger concern for creative professionals. Generative AI uses huge amounts of energy and water. Each AI-generated image uses around three liters of water, while a single chatbot response can consume 500ml. These numbers are making environmentally conscious creators think twice about how much they use these tools.
The economic impact on creative jobs is also worrying. As studios and platforms adopt AI to cut costs, traditional creative roles like illustrators, musicians, and editors may be reduced or eliminated. This trend is already visible in cinema, where AI has been used to refine dialogue and enhance vocal performances in recent films like "The Brutalist" and "Emilia Perez." AI was also used for generating still images in "Late Nights with the Devil," sparking backlash from filmmakers and actors.
However, not all creative professionals see AI as purely negative. Some are beginning to view it as a supportive tool rather than a replacement. Actress Natasha Lyonne compared AI to a pencil, saying "Everyone has access to a pencil... it's how you use the pencil". This perspective encourages thoughtful and creative use of AI rather than wholesale replacement of human talent.
Some AI tools are already helping artists with administrative tasks, freeing up time for actual creative work. AI can also help produce music demos or rough drafts, making workflows smoother and boosting productivity. Musicians can use AI to generate orchestral mockups or realistic vocal demos, saving hours of manual work.
Platforms are responding to creator concerns about consent and control. SoundCloud updated their terms of use to ensure consent, transparency, and artist control. Their commitment to not using content to train AI without permission sets a positive example for ethical AI integration.
Looking ahead, the relationship between AI and creative industries will keep evolving. While AI offers powerful tools for innovation, it also challenges long-standing ideas about authorship, originality, and artistic value. The future of creativity may well depend on how we choose to use these new digital tools while protecting and empowering human creators.