As the Committee Chair in politics, the primary focus is to balance technological leadership with protecting cultural creators. A significant argument in this domain is the potential of AI to democratize music production, thereby making it accessible to a broader audience. This democratization fosters innovation, exemplified by AI tools like OpenAI's MuseNet, which can generate diverse musical compositions. However, concerns exist regarding AI-generated music potentially diluting cultural heritage, as it often lacks the emotional depth tied to human creativity. The global music market, valued at $2.9 billion in 2025, underscores the economic influence AI could have on cultural sectors. Crafting policies that ensure legal certainty while safeguarding artists' rights amidst innovation is a challenge. The committee must address ethical concerns, such as the contentious use of copyrighted material for AI training. By preparing a draft decision for parliament, the chair aims to lead a debate that structures arguments and finds a balance between preserving cultural heritage and advancing technology.

Tech entrepreneurs and AI developers view AI in music as a powerful tool for technical progress and market growth. AI is considered a democratizing force, allowing anyone to create music without extensive training. This shift is evidenced by platforms like Google's Magenta, which enable users to experiment with music creation. Countries not embracing AI risk falling behind in the global market, with the AI music market projected to grow at a CAGR of 27.8%, potentially reaching USD 60.4 billion by 2034. Entrepreneurs advocate for technical solutions such as watermarking to address copyright issues, ensuring creators receive recognition for their work. Despite the challenges, AI offers efficiency and cost savings, making it an attractive option for music production. The focus is on harnessing AI's potential while addressing ethical and legal concerns, ensuring the technology's benefits are realized without compromising artistic integrity.

Traditional artists and copyright associations prioritize protecting intellectual property and ensuring fair compensation. They argue that AI's dependence on existing data for training poses a risk of 'data theft,' potentially infringing on copyrighted works. In 2023, Universal Music Group urged streaming services to block AI-generated music using their artists' content, highlighting the industry's concern. Artists emphasize the authenticity and 'soul' inherent in human-created art, often lacking in AI-generated music. The economic impact is significant; studies predict musicians could lose up to 24% of their revenue due to AI by 2028. Associations demand strict levies and taxes on AI-generated content to support human artistry. While AI can produce music, it cannot replicate the emotional depth and cultural significance that human creations embody, which remains a fundamental aspect of artistic expression.

Economic development officers view AI as an opportunity to create new business models and increase tax revenue. AI music tools can drastically reduce production costs, making music creation more accessible. The global AI in music market is expected to grow significantly, reaching USD 38.7 billion by 2033. This growth presents opportunities for AI-driven content in gaming, advertising, and film sectors. New job roles like 'prompt engineering' and AI curation are emerging, driven by the need to manage AI-generated content. Officers argue that AI can enhance location attractiveness by fostering innovation hubs, despite concerns about human job displacement. Overall, AI is seen as a catalyst for economic development, creating new employment opportunities in tech and creative industries, and driving forward digitalization initiatives.

Media ethicists warn against manipulation and the potential loss of trust in media due to AI advancements. AI's ability to create deepfakes and manipulate content raises significant ethical concerns about authenticity and the erosion of trust. In 2025, AI-driven manipulation was cited as a substantial risk to human decision-making processes. Ethicists advocate for comprehensive educational programs to improve AI literacy among citizens, empowering them to critically assess AI-generated content. The cultural value of mass-produced art is questioned, as AI can generate music rapidly, potentially overshadowing human creativity. Ethicists emphasize the importance of transparency and accountability in AI development to maintain public trust and ensure ethical standards are upheld in the creation of AI-driven content.

Consumers and fan representatives prioritize affordable content and entertainment value. They argue that as long as the product is enjoyable, its origin is less relevant. AI enables users to become creators themselves, using tools to produce music and art, fostering a participatory culture. However, there's concern about AI producing 'cultural blandness,' as algorithms often prioritize popular styles over diversity. Consumers desire participation and interactivity, potentially influencing music dynamically in live settings. Platforms like Suno demonstrate AI's potential for user engagement, allowing users to create music quickly and easily. As AI continues to evolve, consumers remain focused on entertainment value and the opportunities for active engagement and creativity afforded by AI technologies.

IT and copyright lawyers focus on ensuring legal certainty and addressing liability issues related to AI-generated content. They clarify that AI-generated works often face challenges in obtaining copyright protection, highlighted by the refusal to register AI-generated art in 2025. Lawyers advocate for new licensing models to navigate these complexities, ensuring fair compensation for creators. The compatibility of AI works with existing laws is constantly under scrutiny, with courts grappling with the implications of AI-generated content. Lawyers emphasize the need for clear definitions of authorship and ownership to navigate the evolving legal landscape and address the challenges posed by AI in copyright law, ensuring that both creators and AI developers can operate within a defined legal framework.