NEW DELHI — India’s higher‑education system faces a widening gap between the demand for artificial‑intelligence expertise and the supply of qualified faculty, a report by The Hindu on 28 September 2026 warned. The article, titled “How India should recruit and train higher education faculty for the AI era,” calls for a coordinated strategy that revises recruitment criteria, expands professional development, and strengthens industry linkages.
Recruitment gaps exposed
The piece notes that most universities still rely on traditional academic credentials when hiring faculty, a practice that does not reflect the interdisciplinary nature of AI. It highlights that only a handful of institutions offer dedicated AI tracks, and even fewer have faculty with recent research or industry experience in machine learning, data science or robotics. The article points out that the current appointment process, which emphasizes publications in conventional journals, may exclude professionals who have made significant contributions in open‑source projects or commercial AI deployments.
Proposed reforms
According to the report, a multi‑tiered approach is required. First, universities should broaden eligibility criteria to include professionals with demonstrable AI experience, such as those holding certifications from recognised bodies or who have led AI projects in industry. Second, the article recommends the creation of a national AI faculty development programme, funded jointly by the Ministry of Education and the Department of Science and Technology, to provide structured training for existing professors. Third, it calls for the establishment of AI research clusters that bring together academia, industry and government laboratories, ensuring that faculty can access cutting‑edge data sets and computational resources.
Training and upskilling
The Hindu article stresses that continuous professional development is essential. It cites examples of universities that have partnered with tech firms to run short courses and workshops for faculty. The report also suggests that universities should incorporate AI modules into existing curricula for non‑computer‑science disciplines, thereby widening the pool of educators who can teach AI concepts. It further recommends that faculty members pursue post‑doctoral fellowships in AI at leading research institutions, both domestic and international, to stay abreast of rapid advances.
Industry collaboration
The piece highlights the role of industry in bridging the talent gap. It notes that several multinational corporations have already set up AI labs in Indian universities, offering internships and joint research grants. The article argues that formalising such partnerships through memoranda of understanding can provide faculty with access to real‑world data and industry‑relevant projects. It also points out that industry can help design curriculum that aligns with market needs, ensuring that graduates are job‑ready.
Policy implications
In the report, the author argues that policy makers must adopt a holistic framework that integrates recruitment, training and retention. It calls for the Ministry of Education to issue guidelines that recognise AI expertise as a core competency for faculty appointments. The article also suggests that incentives, such as research grants and sabbatical leaves for AI projects, could encourage seasoned professors to specialise in the field.
Challenges ahead
The Hindu article acknowledges that implementing these reforms will require significant investment and coordination. It points out that data privacy regulations, such as the Personal Data Protection Bill, may affect the availability of large datasets for academic research. It also notes that the current academic calendar and tenure system may need adjustment to accommodate intensive AI training programmes.
Looking forward
While the report does not present a detailed implementation roadmap, it underscores the urgency of aligning India’s higher‑education workforce with the global AI landscape. It concludes that a concerted effort from universities, industry and government is essential to build a robust pipeline of AI‑savvy faculty who can drive research, innovation and teaching in the country’s universities.
