AI Authorship Question Grows

The Delhi High Court's order for an expedited decision on AI-generated artwork copyright is a major legal moment. The core issue is the intellectual property claim for an artwork titled "A Recent Entrance to Paradise," created by Stephen Thaler's AI system, DABUS. The court has scheduled a hearing for April 27, 2026, with an eight-week deadline for resolution, adding urgency to a long-simmering global debate. The application, filed in 2022, faced delays partly due to the Copyright Act, 1957, which traditionally states only people can be authors. While Indian law allows copyright for "computer-generated works" assigned to the person who "causes the work to be created," autonomous AI systems challenge the idea of direct human control. Thaler argues AI-generated works fit this category, with authorship belonging to the entity starting the creation, challenging this interpretation.

AI Copyright Around the World

Globally, most legal systems reject AI as an author, stressing that copyright protects human creativity. The U.S. Copyright Office has reaffirmed that human creativity is essential, and purely AI-generated works aren't protected. The EU also has a human-centric approach; its top court ruled AI content can't be attributed to a human author, though the creator might claim ownership. Uniquely, the UK's Copyright, Designs and Patents Act 1988 assigns authorship of computer-generated works to the person who made the "arrangements necessary for creation," aiming for ownership certainty, though some critics say it weakens the idea of human creativity. China's approach is more mixed, with some courts recognizing AI-assisted works if human effort in prompting is shown, but excluding AI as an author. Ukraine has created a unique "sui generis" right for AI-generated images.

AI Creation Market and Disruption

Generative AI tools are rapidly changing creative industries. The market for generative AI in creative sectors is projected for substantial growth, reaching $5.38 billion in 2026 and $14.03 billion by 2030, fueled by wider use, lower costs, and demand for immersive content. This expansion brings significant market changes and potential disruptions. Research suggests AI content may "crowd out" non-AI firms and human creators, dramatically increasing image volume while human works decline. Consumers might gain from more competition and variety, but this trend challenges human artists and professionals, potentially driving them from online platforms. Major tech firms are developing and patenting AI, using patents, trade secrets, and open-source methods to protect IP, which is key to their competition.

Legal Uncertainty and Economic Risk

The legal battle over AI authorship creates significant uncertainty for IP frameworks and business models. The main risk is challenging copyright's core principle of human creativity. If purely AI works aren't copyrighted, much content could enter the public domain, reducing incentives for AI investment and development. Conversely, granting AI authorship or broad rights to AI works could lead to monopolization of machine content, potentially stifling human innovation. Identifying a single "person who causes the work to be created" in modern AI systems (involving developers, trainers, users) creates legal ambiguity and risks lengthy lawsuits. Also, using copyrighted material to train AI models has led to infringement lawsuits, potentially forcing AI firms to change their data strategies and business models. This legal uncertainty creates an unstable environment for businesses using AI content and for IP holders.

The Evolving Landscape of AI and IP

The Delhi High Court's upcoming ruling will significantly impact global policy discussions on adapting IP to new technologies. As generative AI becomes more integrated into work and creative processes, laws must evolve. This case will likely be a key reference for future disputes, influencing how Indian law handles AI content authorship, ownership, and registration. The broader implication is a potential shift in what counts as authorship and creative value when machines have advanced generative abilities, prompting a reassessment of IP's role in fostering innovation while protecting creators.