Artificial Intelligence is slowly becoming part of day-to-day learning in many Indian schools, especially those in private and well-funded urban areas. From customised learning apps to AI-based classroom tools, the technology is entering education faster than many teachers expected. But this rapid rise is also creating a new worry: if access is not equal, AI may widen the existing gap between students who have resources and those who don’t.

I am writing about this topic because the conversation around AI education is picking up everywhere, yet the ground reality inside schools remains uneven. Some students already have laptops, stable internet and exposure to coding from a young age, while many others still struggle with basic digital access. If AI education grows only in certain pockets, the result could be a generation where knowledge and opportunities are unfairly divided. It is important to discuss this now because AI-related skills will shape future jobs, future learning and even future decision-making. Understanding where the imbalance may happen helps parents, educators and policymakers prepare better. As someone who closely follows the shift in education trends, I feel this issue deserves more attention and honest discussion.

What AI Education Currently Looks Like in India

AI is being introduced in Indian schools in different ways. Some private schools use AI-based learning platforms that help teachers track progress and identify weaknesses in students. A few schools have started AI clubs or short courses to spark interest among children. Many state boards have also talked about adding AI awareness in higher classes, mainly to help students understand how the technology works.

However, this progress is mostly visible in schools that already have good digital infrastructure. In large parts of the country, classrooms are still dealing with shortage of teachers, lack of electricity or limited access to computers. This contrast creates a natural risk of unequal exposure.

Where the Gaps Are Starting to Show

There are several areas where unequal AI education becomes clear. Some of the most visible gaps include:

• Access to devices like laptops or tablets
• Availability of trained teachers who understand AI basics
• Internet quality in rural and remote schools
• Differences in curriculum between private and government schools
• Students’ home access to digital tools and learning platforms

When only a section of students gets early exposure, the learning gap becomes larger over time.

Why Unequal AI Exposure Can Be Harmful

If AI skills become essential in future careers, students without access may be left behind long before they even finish school. Examples include:

• Students in urban schools may learn problem-solving and data skills early, giving them an advantage in competitive exams and college admissions
• Students with limited digital access may struggle to understand even basic AI concepts later
• Schools with better infrastructure can experiment with advanced projects, leaving others dependent on outdated teaching methods

Over time, this creates two completely different learning experiences within the same country.

Teachers and Training Challenges

For any new subject to succeed, teachers need proper training. Many government school teachers still lack structured digital training, so expecting them to teach AI without support becomes unrealistic. Teachers themselves often say they need time, tools and hands-on sessions before they can confidently guide students in activities related to AI, algorithms or automation.

The Role of Policy and Government Support

The national curriculum frameworks have mentioned the need for AI awareness, but the real issue lies in how schools will implement it. For equal access, steps like the following will be important:

• Providing basic digital infrastructure to all schools
• Offering regular teacher training programmes
• Making AI modules simple, practical and language-friendly
• Ensuring students from rural and urban areas get the same exposure

Without such measures, AI education could become another example of how technology benefits some students more than others.

Real Examples from Classrooms

In some tier-1 city schools, children already use AI tools to complete assignments or practise concepts. Meanwhile, in many rural classrooms, students share a single computer or rely on teachers’ verbal explanations. This difference in access leads to different confidence levels. When digital exposure is uneven, the comfort level with AI naturally becomes uneven too.

What Schools Can Do Right Now

Even before formal AI courses start everywhere, schools can take small steps:

• Introduce basic digital literacy in lower classes
• Use simple examples to explain AI concepts without computers
• Encourage curiosity-based activities like puzzles and problem-solving games
• Partner with NGOs and local organisations for training sessions

These small steps help create a foundation that makes future AI learning easier and fairer.