Bayreuth’s AI Ring makes curation, not autonomy, the real test
Bayreuth Festival says its anniversary Ring uses AI to recombine 150 years of Wagner imagery into a different visual experience at each performance. Early reviews and boos after Götterdämmerung do not settle the experiment, but they focus attention on the people choosing and deploying the system when its projections compete with singers and drama.
- Bayreuth says its anniversary Ring will use AI to recombine archival imagery differently at every performance.
- After Götterdämmerung, curator Marcus Lobbes and his team received boos and whistles while the musical forces were warmly applauded.
- Two reviews of the earlier Das Rheingold faulted the projection-heavy staging, but their judgments are not a measure of the entire audience or the remaining shows.
Bayreuth Festival’s AI-assisted Ring is not an opera handed over to a machine. It is a human-curated staging system, and the first response has made the curators’ choices—not artificial intelligence in the abstract—the central question.

Scene from Bayreuth Festival’s 2026 production of Götterdämmerung. Source: Bayreuth Festival.
A festival experiment with a fixed musical center
Bayreuth Festival is the annual Wagner festival in Bayreuth, Germany. Its 2026 season marks the festival’s 150th anniversary, and the production description calls this its first use of AI on stage as an image-generating force. The score and cast remain fixed; what changes is the visual field around them.
Marcus Lobbes, the production’s curator and director of Dortmund’s Academy for Theater and Digitality, shares the artistic and technical concept with Nils Corte. The festival also credits Roman Senkl for digital and AI storytelling, Andri Hardmeier for dramaturgy, and Corte and Phil Hagen Jungschlaeger for creative code and visual art. That roster matters: it assigns human responsibility for the system’s concept, materials and theatrical use.
The festival says in its production description that the singers are the stable point within projections that shift and merge. It says the AI has learned from images, voices, documents and prior productions, and that each performance will be visually unique. The production description does not identify a model or explain how the system selects or transforms material during a show.