The Indian government has opened applications for the IndiaAI Fellowship 2026, a nationwide programme that gives financial grants to students and doctoral scholars working on artificial intelligence research and projects. Under the scheme, undergraduate and integrated dual-degree students can receive up to ₹1 lakh, postgraduate students can receive up to ₹2 lakh, and eligible PhD scholars can draw monthly stipends of ₹70,000 to ₹80,000 along with an annual research grant of ₹2 lakh.

The fellowship is run by IndiaAI, the division of the Ministry of Electronics and Information Technology (MeitY) that implements the IndiaAI Mission. Applications opened in October 2026, and the last date to apply is November 30, 2026. Interested candidates are being asked to check the eligibility criteria for their academic category and apply through the programme's official portal well before the deadline.

Background: India's push to build home-grown AI talent

India has been one of the fastest-adopting countries for artificial intelligence tools in classrooms, offices and startups, yet much of the foundational research talent in the field has historically trained abroad or worked at foreign labs. The Union Cabinet approved the IndiaAI Mission in March 2024 with an outlay of about ₹10,372 crore over five years, built around seven pillars: subsidised compute capacity for researchers, a datasets platform, innovation centres, application development, future skills, startup financing, and safe and trusted AI.

The fellowship programme sits inside that architecture. Its logic is simple: good AI research is expensive. Training and fine-tuning modern models needs computing power, datasets and time, and students often lack all three. By funding promising students while they are still in college, the government hopes to keep more of India's AI talent in India, raise the quality of domestic research output, and make sure the country's AI ambitions are not limited to those who can already afford to participate. It is, in effect, a talent-retention instrument as much as an education scheme, and it arrives at a moment when demand for AI skills in the Indian job market is outpacing supply.

The announcement also lands in a year when AI investment has dominated global technology headlines. Chipmakers are reporting record demand for AI hardware — see our explainer on record chip-demand results — and large AI labs are spending billions to train ever-larger models. For a country that wants to be a producer of AI systems rather than just a consumer of them, a steady pipeline of trained researchers is the bottleneck that matters most.

What the fellowship offers

The headline feature of the programme is direct financial support, calibrated by academic level. Undergraduate students and those in integrated dual-degree (IDD) programmes are eligible for grants of up to ₹1 lakh for AI-related projects. Postgraduate students can receive up to ₹2 lakh, with the exact amount depending in part on the semester in which the student enters the programme. According to programme information, funding is released in instalments tied to academic requirements and project progress, so recipients must keep their projects on track to receive the full amount.

Doctoral scholars get a more substantial package. PhD researchers in their first two years of research are eligible for a monthly stipend of ₹70,000, rising to ₹75,000 in the third year and ₹80,000 in the fourth and fifth years. On top of that, eligible scholars can receive an annual research grant of ₹2 lakh, which can cover equipment, data, compute costs and other research expenses. For context, these stipends are comparable to — and in some cases above — what many institutional fellowships in India currently pay, making the scheme competitive for top doctoral talent.

There is also a conference-support component. Eligible students can receive additional support of up to ₹1 lakh to present their AI research at qualifying international conferences. This matters because publishing and presenting at respected conferences is how young researchers build reputations; travel costs are a common reason talented Indian students miss those opportunities. Taken together, the structure rewards not just enrolment in the programme but visible research output: doing the work, documenting it, and putting it in front of the global research community.

Who can apply

The fellowship covers four categories: undergraduate students, students in integrated dual-degree programmes, postgraduate students, and eligible PhD scholars. The reported eligibility windows are precise about academic stage: students in three-year undergraduate programmes can apply from the start of the fifth semester, those in four-year programmes from the start of the seventh semester, and students in five-year integrated dual-degree programmes from the start of the ninth semester. Postgraduate applicants are eligible in their first, second or third semesters.

Applicants must be working on, or proposing, AI-related research or projects — the scheme is not a general scholarship. Importantly, the programme is not restricted to computer science or engineering students alone; candidates from other academic backgrounds who undertake qualifying AI research are also relevant, which opens the door to applications in fields such as linguistics, medicine, agriculture, climate science and the social sciences, where AI methods are increasingly central.

The application itself requires preparation. According to MeitY's guidance, candidates should have their academic records, bank details and endorsement letters from project guides or institutions ready before submitting. Institutional approvals and project-guide endorsements are described as important parts of the process, and the ministry has asked candidates to review the eligibility criteria and instructions for their specific academic category before applying. Missing documents are the most common reason fellowship applications get rejected in India, so assembling the file early is sensible advice.

Why it matters

The first reason is access. A student with a strong research idea but no funding is often stuck: compute time on a GPU cluster, access to paid datasets, and travel to a single international conference can each cost more than a family's monthly income. By attaching real money to student research, the fellowship lowers the entry barrier to doing serious AI work in India. Programmes like this also tend to have a signalling effect — students take AI research more seriously when there is a visible, funded pathway for it.

The second reason is timing. Understanding how artificial intelligence learns from data is now a core technical skill across industries, and India is trying to position itself as both a major AI market and a credible research hub. A fellowship pipeline that produces conference papers, open-source tools and startup founders over the next several years is exactly the kind of slow-burn investment that compounds. The country already has scale in engineering graduates; the missing piece has been structured research funding at the student level.

The third reason is competition for talent. The world's largest AI labs are engaged in a bidding war for researchers, as illustrated by the economics behind major funding rounds like the Anthropic IPO filings. While ₹2 lakh will not outbid a Silicon Valley lab, it can be enough to let a gifted student finish a thesis, publish a paper and enter the field as a credentialed researcher rather than dropping research for an immediate industry job. In research ecosystems, small grants at the right moment can change careers.

Key facts

  • Programme: IndiaAI Fellowship 2026, run by IndiaAI under MeitY as part of the IndiaAI Mission.
  • UG and IDD students: up to ₹1 lakh for AI-related projects.
  • PG students: up to ₹2 lakh, depending on semester of entry and progress.
  • PhD scholars: monthly stipend of ₹70,000 (years 1–2), ₹75,000 (year 3), ₹80,000 (years 4–5), plus a ₹2 lakh annual research grant.
  • Conference support: up to an additional ₹1 lakh for presenting at qualifying international AI conferences.
  • Deadline: November 30, 2026, via the official fellowship portal.
  • Required: academic records, bank details and endorsement letters; funding released in instalments tied to project progress.

What happens next

With the deadline six weeks away, the immediate next step for prospective applicants is documentation: transcripts, a well-defined project proposal, a willing guide, and the endorsement paperwork. Because instalments are linked to project progress, students should also think through a realistic timeline — milestones they can actually hit — rather than an ambitious proposal that stalls in month three.

Beyond this cycle, the interesting question is scale. If the 2026 round attracts a strong applicant pool and produces publishable research, it strengthens the case for expanding the fellowship in future years — more seats, larger grants, or coverage of more academic categories. IndiaAI's broader Mission is judged on outcomes like compute capacity utilisation and startup creation; a fellowship is judged on a simpler metric: how many funded students are doing real AI research who otherwise would not be. Watch for MeitY's data on applications received and fellowships awarded early next year — that number will say more about the programme's reach than any announcement.

Sources: Jagran Josh, TechObserver, The Fox Daily, Global South Opportunities — Oct 2026.