Can AI Make Art? And If So, Who Owns It? Novel Theoretical Frameworks for Understanding Artificial Intelligence, Creativity, and Ownership in the Digital Age

The emergence of artificial intelligence as a creative force has fundamentally challenged traditional conceptions of authorship, creativity, and intellectual property ownership. This analysis presents six novel theoretical frameworks that transcend current academic discourse on AI art ownership, drawing from extensive empirical research, comparative legal analysis, and economic impact studies. Through examination of recent legal developments including Thaler v. Perlmutter [1], analysis of platform ownership models, and synthesis of market data showing a projected growth from $3.2 billion to $40.4 billion by 2033 [2], this work argues that AI art ownership exists within a complex adaptive system requiring dynamic, multi-dimensional approaches rather than binary legal categorizations. The analysis introduces the concepts of Temporal Ownership Dynamics, Algorithmic Authorship Gradient, Collective Intelligence Ownership, Platform Constitutionalism, Evolutionary Ownership Adaptation, and Economic Stratification of Creative Rights as foundational frameworks for understanding this emerging domain. These theoretical contributions provide both descriptive power for current phenomena and prescriptive guidance for future policy development in an era where artificial intelligence increasingly mediates human creative expression.