This study examines AI's huge impact on visual art performance. This study examines how AI's history, tools, and uses in visual art have transformed processes and immersed audiences. Machine learning, computer vision, and GANs let artists create, curate, and alter visual art with unprecedented creativity. AI creates visual art performance concepts, styles, and aesthetics. AI helps artists analyze massive data sets, find trends, and try new art forms. Case studies demonstrate how AI has been used in many artistic disciplines to create groundbreaking performances, interactive installations, and fascinating experiences. AI-powered inventions have changed art genres and captivated viewers. Collaborative art has pushed creativity and innovativeness. Audiences can participate in the creative process and co-create meaning and narrative in personalized, immersive, and interactive AI-powered art experiences. AI in visual art performance affects biases, ownership, copyright, transparency, and accountability. The paper advocates for ethical, legal, transparent, and interpretable AI systems in the arts to promote equality and fairness. Examine future AI visual art performance adjustments, enha
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