Generative AI systems, such as ChatGPT, Midjourney, MusicGen or Sora, enable even non-experts to produce creative artefacts themselves. Although technological display errors often occur, the images generated by highly trained AI systems can hardly be recognised as such. The highly dynamic development of generative AI is expected to have a disruptive impact on the creative industry. Many creative professionals see potential for inspiration and increased efficiency in the new technology. However, the risks of a future concentration of creative AI offerings at a small number of companies and a loss of appreciation for creative work are also being discussed. Creative professionals see the greatest danger in changes to the value chain, which could result in a loss of income or even jeopardise their livelihood. In 2023, the strike by screenwriters and actors in Hollywood, which lasted several months, showed that there is great concern in the industry. It only ended after agreements were reached on how to deal with AI in creative processes. In Germany, too, creative professionals organised themselves to help shape the way AI is handled. Their fundamental points of criticism include infringements of copyright and personal rights as well as the depiction of stereotypes or other problematic content. To date, there has been little transparency about which data has been used to train the AI systems. This is set to change as a result of the European AI Regulation and the obligation to document the training data sets it provides for, as well as the labelling obligation for AI products. It remains to be seen to what extent the AI Regulation will help to strengthen the rights of artists. Many aspects are yet to be concretised through the interpretation of legislation and case law and will be renegotiated or adapted through possible new formulations in the European Copyright Directive to be evaluated from 2026.