Delhi High Court Ruling Leaves AI Training Copyright Questions Open

The court's assessment of the competing consequences of an injunction carried its strongest policy signal. ANI had offered OpenAI a licence for $7.5 million, demonstrating that its asserted injury was capable of monetary valuation. If ANI ultimately succeeds, its loss may be compensated. The possible consequences of an injunction were harder to contain. The court observed that requiring licences from multiple sources could make LLM development economically unviable. An injunction could prejudice OpenAI and the public at large, the court concluded.

Publishers' concerns remain legitimate. Journalism requires sustained investment. If AI products reproduce or substitute for publishers' content, they could erode traffic and licensing revenues. The court's separation of training from outputs is critical. Protection for training should not immunize memorization or real-time retrieval that substitutes the original work. The Mint article suggests the next disputes may focus less on what a model learned and more on what an AI product retrieves and monetizes.

The Mint article notes that the judicial and regulatory outlooks may now be moving in different directions. The court found an interim answer within the existing fair dealing framework. The Department for Promotion of Industry and Internal Trade working paper proposes a mandatory licensing framework. Developers would train on content while rights holders receive recurring remuneration through a centralized mechanism. Both approaches seek to enhance AI development. They differ fundamentally on whether rights holders must be paid for enabling such development, the lawyers wrote.

The interim order provides the first judicial answer. It is unlikely to be the last word, the Mint article concludes. The legal position may continue to develop through further judicial and legislative engagement.