The Academy of Motion Picture Arts and Sciences has updated eligibility rules to restrict AI-generated performances and expand international film categories [1, 3].
These changes address growing industry concerns regarding the displacement of human talent by artificial intelligence. By establishing boundaries for synthetic content, the Academy aims to protect the roles of actors and writers in the cinematic process [3, 5].
The new regulations specifically ban AI-generated performances from competing in acting categories [2]. While some reports suggest the Academy is strictly limiting rather than outright banning all AI-generated content, the core restriction focuses on ensuring nominated performances are human-performed [4, 2].
Beyond AI restrictions, the Academy is changing how it handles nominations. Actors are now permitted to receive multiple nominations within the same category [1]. This shift allows the organization to recognize a performer's versatility across different films in a single eligibility cycle.
Additionally, the Academy has expanded the eligibility criteria for international films [3]. This move is intended to broaden the global reach of the awards and include a more diverse range of cinematic productions from around the world.
There is some discrepancy regarding the timeline for these implementations. Several reports state the rules apply to the 99th Academy Awards scheduled for 2027 [1, 4]. However, other reports indicate the changes are being introduced for the 2026 Oscars [3].
The Academy of Motion Picture Arts and Sciences, based in Los Angeles, said these updates are necessary to evolve alongside technological advancements while preserving the integrity of human artistry [3, 5].
“AI-generated performances are banned from acting categories.”
The Academy's decision to wall off acting categories from AI reflects a broader labor struggle within Hollywood to define the boundary between tool-assisted art and synthetic replacement. By expanding international eligibility and allowing multiple nominations per actor, the organization is simultaneously attempting to modernize its global appeal and reward individual excellence more flexibly, even as it draws a hard line against the automation of performance.
