NEW DELHI — The report, published on 28 September 2026, argues that India must revamp its higher‑education faculty recruitment and training to meet the demands of the AI era. It calls for a national strategy that aligns academic talent with industry needs.
Shortage of AI‑savvy faculty
The report notes that the current pool of faculty with expertise in machine learning, data science and related fields is insufficient to support the rapid growth of AI research and industry. It highlights that many universities still rely on traditional recruitment processes that do not prioritize emerging technologies.
Proposed reforms
The article outlines several proposals for reforming recruitment. It suggests that universities should adopt a competency‑based hiring framework that evaluates candidates on their research output, industry collaboration experience and teaching effectiveness in AI subjects. It also recommends that the government create a dedicated AI faculty council to oversee standards and accreditation.
Industry collaboration
Industry partnership is identified as a key element of the strategy. The report recommends that universities forge joint research agreements with technology firms to provide faculty with real‑world project exposure. It also calls for internship programmes that allow professors to work on industry‑driven AI challenges while maintaining their academic responsibilities.
Continuous professional development
To keep faculty skills current, the report proposes a national professional development scheme. It would offer subsidised courses, workshops and certification programmes in AI and related disciplines. The scheme would be funded through a mix of government grants and corporate sponsorships, ensuring that faculty can update their knowledge without compromising teaching loads.
Policy and funding
The article stresses the need for policy support to implement these reforms. It recommends that the Ministry of Education allocate a dedicated budget for AI faculty development and that state governments match funds for universities that meet AI‑centric hiring targets. It also suggests that research grants be earmarked for faculty who publish in high‑impact AI journals.
