Used with permission
In early December the Indian government through the Department for Promotion of Industry and Internal Trade (DPIIT), launched a public consultation on its proposal for a “One Nation, One Licence, One Payment” regime to govern AI training on copyrighted content. The comment period closes early next month. The stated intent is to establish a framework to allow AI developers to access proprietary content for AI algorithm training, without rightsholder authorization, while ostensibly taking into account the concerns and economic interests of those same rightsholders. The proposal from a semi-official committee established by DPIIT is based on a compulsory licence regime covering all content, past, present and future, with no opt outs for content owners. Given the unrepresentative nature of the committee, which failed to include rightsholders from many creative sectors, it is not surprising it has managed to come up with a solution that pleases absolutely no-one, not rightsholders nor the AI industry. Moreover, it is probably unworkable and could rightly be described as the “worst of all worlds”. How did we end up here?
It is widely accepted that to further refine and develop AI, more data is constantly required. Quality data is important. The better the data, the better the product. Many AI developers have, without authorization, already helped themselves to vast amounts of copyright protected material either through accessing pirate databases or by simply hoovering up publicly accessible (but nonetheless copyright protected) content on the internet. The result has been a series of lawsuits launched by rightsholders, primarily in the US but also in India, the UK and Canada. In the US the parameters of the fair use doctrine are being tested, with mixed results. There have been some settlements, notably the Bartz v Anthropic case in which AI developer Anthropic agreed to pay a group of authors $1.5 billion for having accessed and reproduced their works through pirate websites (and without authorization), as well as a large number of voluntary licensing agreements between corporate rightsholders such as media outlets, publishers and music labels, and AI companies. Clearly, legal leverage is needed to convince AI developers to negotiate with rightsholders (no one is volunteering, that’s for sure). In the US this is backed up by a statutory damages’ regime where the risk of being hit with large statutory damages per infraction is a strong incentive for the AI industry to reach licensing deals. Unfortunately, many countries do not have a statutory damages provision in their copyright law, and India is one of them.
Ironically, outside the US where the fair use case-by-case legal doctrine does not exist, AI developers are arguably in even greater legal jeopardy. As a result, they have pushed for a wide statutory text and data mining (TDM) exception to be introduced into national copyright laws. The AI industry is doing this in India, although there is strong opposition to introducing a TDM escape hatch. When a TDM exception applies, rightsholders are paid nothing. The DPIIT “solution” proposes to address the non-payment issue–but is going about it in precisely the wrong way. Appropriating the IP of all rightsholders by imposing a draconian compulsory license regime penalizes rather than rewards rightsholders and imposes a lowest-common-denominator value on all content, not distinguishing between premium and pedestrian content while taking away from rightsholders the inherent right to determine how and where their content is used.
The compulsory licence regime proposed by DPIIT would be administered by a new non-profit body, a Collective Management Organization (CMO) to be established by statute. This would create another layer of bureaucracy harking back to the days of the “licence raj”. A government appointed committee would set rates in conjunction with the new non-profit. Royalties would be applied retroactively as well as prospectively. Existing voluntary licensing agreements between content providers and AI companies would have to be terminated and future licence agreements prohibited. Rightsholders who do not want to licence their content could not opt-out. This is overreach at its worst.
The tech industry represented by NASSCOM, the National Association of Software and Service Companies, that also includes Google and Microsoft, vehemently opposes the One Nation, One Licence, One Payment proposal, arguing instead for a TDM exception. It also argues that rightsholders who wish to opt out should be able to do so, thus avoiding AI companies having to pay royalties for content it does not want or has already licensed. It also doesn’t want the precedent of compulsory payments, as India would be the first country globally to institute such a regime. NASSCOM claims that a compulsory licence regime would slow innovation, the card always played by the AI industry when the issue of protecting rightsholders is discussed. However, a TDM exception is not currently on offer in India. It is a “solution” that is facing increasing pushback in many countries. Australia has just rejected the concept, and other jurisdictions are examining it critically. Where a TDM exception does exist, as in the UK and EU, its use is constrained and subject to several conditions, such as in Britain where it is limited to non-commercial research.
Not only is the tech industry strongly opposed to the compulsory licence proposal, so are rightsholders such as the broadcasting industry and Bollywood. Not only would a compulsory licence be extremely difficult to implement given the nature of CMOs which are generally highly inefficient and administratively cost heavy– not to mention that the Committee’s working paper proposes two layers of CMO (thus double handling and processing)– but the draconian and sweeping nature of the compulsory licence is of great concern. Rightsholders are given no ability to opt out or to refuse to have their content conscripted. In fact, the proposal includes a provision granting AI developers access to content as a “matter of right”. What happened to the fundamental right of an author to determine how, when and even if their content is to be reproduced? Compulsory licences are extraordinarily blunt instruments and do not work when sophisticated content like audio-visual and music products are involved. There are many elements to licensing, including contractual issues that go beyond price that are carefully negotiated and carry with them specific obligations and privileges. A compulsory licence is a “one size fits all” solution. It strips away the rights of content owners and is, in effect, a form of “compensated expropriation”. And the compensation is minimal.
Having pleased no-one with its proposal, it remains to be seen where DPIIT will go next once all comments are received and evaluated. A follow-up proposal is expected that will deal with outputs, just as the initial one did with inputs. India, like many countries, wants to participate in the global development of AI. Its rich local-language content is a strategic asset. Imposing a compulsory licence would stifle the creativity that drives this cultural comparative advantage. In the absence of a market failure there is no rationale for resorting to the sledgehammer of a compulsory licence for all content. The preferred solution for rightsholders, voluntary licensing, is also becoming a preferred solution for AI developers as the legal ground on which they are operating in accessing content without authorization is looking increasingly shaky. Voluntary licensing is growing globally as AI developers absorb this reality. If wide TDM exceptions are off the table, AI developers will have no recourse but to negotiate licence agreements. (A statutory damages regime would provide even greater incentive to do so). Bringing in a wide TDM exception or worse, introducing a blunt and highly bureaucratic compulsory licence regime, is a sure way to kill the growing voluntary licensing market.
DPIIT’s next steps will be crucial. If the goal is to create the conditions for a “made in India” AI industry while nurturing and protecting India’s valuable cultural assets there is no better solution than to create the conditions for the growth of a voluntary licensing market. Strong cultural industries and robust AI development go hand-in-hand. This means dispensing with forced, bureaucratic solutions like the proposed compulsory licensing regime while holding firm on rejecting a TDM loophole that would allow AI companies to plunder India’s cultural richness without any compensation to creators and rightsholders. Let’s hope India gets it right.
© Hugh Stephens, 2026. All Rights Reserved
