India skills program

India has set one of the most ambitious AI skilling targets anywhere. In his Independence Day address on 15 Aug. 2026, Prime Minister Narendra Modi announced that 10 million young people would receive AI skills training within a year. The jump in scale is striking. As of June 30, 53,449 candidates were enrolled in AI-related roles under the country's main national skilling scheme, with 25,466 certified. Coverage since has focused largely on the target and how quickly it can be met.

Less attention has gone to what happens after someone completes a course. The India Skills Report 2026 put overall employability among candidates at 56.35%, suggesting that a large share of young people may still not be considered job-ready. A certificate can show that someone has been trained. It does not necessarily show an employer that they are ready to work.

The challenge might be greatest outside the major technology hubs. The same report found employability among graduates of industrial training institutes and polytechnics at 45.95% and 32.92%, respectively, well below that of engineering graduates. In smaller towns, families may share a single phone, and few recruiters ever visit local colleges. Without a route to employers, a large cohort could be trained for jobs it never reaches.

The risk isn't only wasted investment. Young people who complete training without finding work might lose faith in skilling programs altogether. Many may also feel pressure to leave home for crowded cities in search of jobs. The challenge, therefore, is not whether India should pursue its ambitious AI training target, but how to ensure that the scale of training translates into real opportunities. That means treating placement as seriously as training and building pathways to employment alongside the target itself.

Most conversations about AI focus on the 10% who will build it. Manav Subodh, founder and CEO of 1M1B, argues that the bigger challenge is "AI for the 90%": the vast majority who will need to use AI confidently at work, even if they never build the technology themselves. For them, AI readiness, not AI expertise, could determine who gets hired.

For a young person from a tier 3 region who is the first in their family to study beyond school, the job they secure may not depend on building AI. It may depend on whether they can apply it with confidence. Preparing these young people for the workplace requires more than teaching them how to use new tools. It requires showing them where their skills fit, helping them build confidence and connecting them with employers who need those abilities.

This is the gap 1M1B has spent a decade working to address in India's tier 2 and tier 3 towns. The organization focuses on AI and green skills, with an emphasis on connecting young people to employers. It has directly trained more than 900,000 young people in AI skills, green skills, and job readiness, and reports having indirectly impacted more than 14 million young people. In the last two years, it has successfully facilitated jobs for more than 25,000 youth and aims to provide access to opportunities for another 50,000 in the next year.

In Subodh's view, the demand for talent and the supply of trained young people already exist. What is missing is the bridge between them. "The problem is not skilling," Subodh says. "The problem is what happens after skilling."

1M1B's model combines orientation and training with mentoring, career counseling, and an AI-powered matchmaking tool developed in-house. Candidates register, share their preferences, and take a short assessment before being matched with suitable employers. The organization also works with state governments and employers to run large job fairs, which it calls the Jobs Express, where candidates are directed to the employers they are most likely to suit. "We are taking the recruiters and the jobs to where the candidates are," says Subodh.

Employers increasingly look for what Subodh calls AI readiness. He says that at a recent job fair, semiconductor manufacturers were looking for candidates who could adapt quickly to new tools. That readiness may be built anywhere. A farmer's daughter from Uttar Pradesh used basic AI tools through the program to improve her English and now teaches younger children to use them. In southern India, a student mentored by 1M1B built a low-cost carbon-capture prototype, which the organization is helping him patent.

"Talent is everywhere," Subodh notes. "The large universities are where the degrees are, not necessarily where the skills are." For him, the first priority for any large-scale program should be training teachers and government officials. Many of those delivering AI education may not be digital natives themselves and could slow adoption without support. AI skills should not be treated as a computer science subject alone. The "90% AI" approach is about helping people across professions apply AI to their work, regardless of whether they have the technical expertise to build it.

Subodh believes that growing anxiety around AI among parents and teachers, often fueled by stories of misuse, may also stand in the way. Teaching responsible and ethical use alongside practical skills could help ease those concerns. According to him, bringing jobs closer to where young people live could also reduce migration to cities. This can allow them to earn more while staying near their families.

The 1M1B model will be showcased at the 10th 1M1B Impact Summit at the United Nations in Geneva on 20 November, where leading youth changemakers from India will also be highlighted. The summit will bring attention to the role young people can play in shaping a more inclusive AI economy, as well as to approaches that connect skills with practical opportunities.

India's pledge to train 10 million young people creates an opportunity to broaden access to the AI economy beyond the country's major technology hubs. But achieving that ambition will require more than enrolling millions in courses. Models that bring training, mentoring, employer connections, and job placement together can help turn the target into something tangible for young people and their families. If approaches like 1M1B's are adopted more widely, India's numbers could become more than a headline. The real measure of success will be how many young people can use their skills to secure meaningful work, build livelihoods and create opportunities closer to home.