If one were to conservatively assume that each thesis runs into 400 pages on an average, this translates into nearly 1.5 to 1.6 crore printed pages annually, for last ten years, this number translates to 15 to 16 crore pages, excluding postgraduate theses, which add several multiples to this volume. India’s higher education system, by scale alone, is among the largest producers of academic text in the world. The immediate cost is visible, paper, printing, storage, and administrative handling. The less visible cost is ecological, trees felled, energy consumed, archives expanded. But the most critical cost is intellectual, how much of this output meaningfully alters policy, produces technology, or solves real problems? The answer remains uncertain.
The expansion of doctoral education in India over the past decade is undeniable. Enrolment has crossed two lakh Ph.D. scholars at any given time, reflecting both aspiration and institutional growth. Yet, this expansion has not been matched by a proportional increase in the impact. A structural paradox emerges. India is producing more research than ever before, yet the translation of this research into societal outcomes remains limited. The dominant academic culture continues to equate rigour with length, and productivity with publication counts. This assumption is now being challenged, not only by policy debates, but by technology itself.
With the rapid advancement of artificial intelligence, the ability to generate structured, well-written, and technically sound long-form documents is no longer a uniquely human capability. AI systems today can assist in drafting literature reviews, structuring arguments, and even producing extended academic narratives. In such a context, the continued insistence on 400 page theses as the primary measure of doctoral competence appears increasingly outdated. If machines can write, then what should humans be evaluated for? This question necessitates a shift in the very definition of doctoral work.
Some emerging global practices provide direction. China, for instance, has begun moving towards evaluating doctoral candidates on applied outputs, prototypes, industrial solutions, and real-world applications, rather than solely on written dissertations. The emphasis is gradually shifting from documentation to demonstration.
India’s response must be more ambitious.
A first step could be the replacement of the conventional thesis with a compact, high-intensity technical report of 40–60 pages. Such a document would not be a reduction in effort, but an increase in clarity. It would require the scholar to precisely define the problem, articulate the methodology, and present actionable outcomes. The expectation would be explicit, the research must be capable of translation, into a prototype, a policy draft, or a legislative framework. Beyond this, more radical ideas merit consideration.
One such idea is the introduction of a “conversion mandate”. Every doctoral submission should be accompanied by a demonstrable pathway to application. A thesis in environmental science, for instance, must lead to a field-tested model or intervention. A thesis in public policy must result in a draft policy ready for governmental consideration. Research that remains purely archival would require strong justification.
Second intervention could be the creation of “national problem registries.” Instead of scholars independently selecting topics of limited relevance, a centralised repository of real-world problems, more so national and regional problems, curated by government, industry, and civil society, could guide doctoral research. Scholars would then align their work with these identified challenges, ensuring relevance from the outset.
Third, the idea of a “live Ph.D.” deserves serious consideration. Instead of submitting a static document, doctoral work could be developed as a dynamic digital asset hosted on dedicated platforms, organised under broad as well as specific themes—particularly those identified at the national level, as noted in the second intervention. Such a system would enable the integration of datasets addressing the same problem across different universities and researchers, thereby strengthening the evidence base and enabling more robust, real-time validation. In doing so, it would enhance the possibility of developing solutions to complex, persistent challenges. This approach would allow research to evolve beyond formal submission and remain open to continuous scrutiny, replication, and improvement.
Fourth, evaluation systems must move towards what may be termed “impact defence.” Instead of a traditional viva-voce focused on theoretical exposition, scholars could be required to demonstrate the usability, scalability, and societal relevance of their work before a panel that includes not only academics but also practitioners and policymakers.
Fifth, the system must recognise the value of negative results and failed experiments. At present, doctoral research is often shaped by the need to produce positive, publishable outcomes. This discourages risk-taking. A more mature research ecosystem would treat well-documented failure as a legitimate and valuable contribution to knowledge.
These proposals may appear unconventional, but they are grounded in a simple reality, the traditional Ph.D. model was designed in an era where knowledge was scarce and documentation was the primary means of preservation. Today, knowledge is abundant, and the challenge lies in application, synthesis, and execution.
India’s developmental priorities, whether in climate resilience, public health, sustainable agriculture, or digital inclusion, require precisely this kind of research. A doctoral system that remains confined to textual production risks becoming increasingly disconnected from these needs.
The question, therefore, is not whether India should produce fewer theses, but whether it should produce different kinds of theses. The environmental argument reinforces this urgency. Reducing millions of printed pages is not merely an administrative reform; it is a symbolic shift, from excess to efficiency, from volume to value. Ultimately, the credibility of a doctoral degree will depend not on the thickness of the bound volume submitted, but on the extent to which it alters reality outside the university.
In an age where artificial intelligence can write extensively, the role of the scholar must evolve, from a writer of documents to a creator of outcomes. The choice before India is clear, continue to expand an archive, or begin to build an impact.