AI in Indian Schools: Why Reading, Thinking, and Questioning Matter More Than Tools

With Artificial Intelligence rapidly shaping classrooms, careers, and everyday decision-making in India, the debate on how AI should be introduced in Indian schools has become crucial. In this interview, Tony Thomas, CTO of Oneindia, explains why the future of AI education-especially for tier-3 and tier-4 students-depends on building strong foundations in reading, critical thinking, problem-solving, and fact-checking.

He highlights how early AI exposure can reduce the urban-rural education gap, empower students without big-city access, and prepare them for the next generation of AI-driven jobs across agriculture, healthcare, media, and small businesses.

Artificial Intelligence is quietly becoming part of everyday life. Students already interact with it through search engines, video recommendations, voice assistants, translation tools, and mobile cameras. So the question is no longer whether AI should be introduced in Indian schools, but how it should be taught.

AI education should begin early, but not as a technical subject filled with jargon. It should begin as a way of thinking. If we rush into tools and shortcuts without building thinking skills, we may create fast users of technology, but not wise learners.

Why early AI education matters in small towns

Introducing AI early removes fear. Many students in smaller towns grow up believing that advanced technology belongs only to big cities. When AI is explained in simple terms at school, students realise that it is not magic. It is logic, data, and decision-making. This realisation builds confidence and ambition.

For students without big-city exposure, AI becomes a bridge. It opens access to quality learning, guidance, and ideas that were earlier out of reach. More importantly, it changes the mindset from "I am behind" to "I can compete."

AI is not only for computer experts

One of the biggest misunderstandings about AI is that it is only for students who are good at computers or coding. That is not true. AI needs thinkers more than typists.

A student who understands local problems such as farming issues, water shortages, education gaps, or healthcare access already has the most important AI skill. That skill is problem awareness. Coding can be learned later. Thinking must be developed early.

How AI should change learning in schools

If taught properly, AI can move education away from memorising answers and towards solving real situations. Students learn how to break a problem into parts, test ideas, and improve results. This makes learning more practical and meaningful. But this is where we must be careful.

The risk of snippet-based learning

Today's students consume knowledge in small pieces. Short videos, quick summaries, instant answers, and visual explanations dominate learning. While these formats are useful, depending only on them creates a serious problem. Snippets provide information, but they do not build depth or wisdom.

Reading plays a critical role here. When students read, they imagine, connect ideas, and form their own understanding. Reading builds patience and clarity. Visual content, on the other hand, limits thinking to the creator's single interpretation. If schools reduce reading and rely only on visuals and AI summaries, students may lose the ability to think independently. AI education without a strong reading culture will always remain shallow.

Fact-checking as a life skill

AI can now generate text, images, audio, and videos with ease. This also means misinformation will grow faster than ever. In the future, the ability to differentiate between true and false will be as important as basic literacy.

Schools must train students to ask simple but powerful questions. Where did this information come from? Is it verified? Is it fact or opinion? What is missing? Can this be confirmed from another source? This habit of verification should start early, especially in smaller towns where misinformation spreads quickly through social media and messaging platforms.

Do schools need expensive infrastructure to teach AI

No. Many AI concepts are ideas, not machines. Pattern recognition, decision-making, bias, and data influence can be taught with simple examples and activities. A basic computer lab or shared devices are enough to begin. What matters more than equipment is teacher understanding and a clear approach.

AI as an equaliser between urban and rural India

AI has the potential to reduce the education gap. It can personalise learning, support students who need repetition, and help faster learners move ahead. Local-language AI tools make learning comfortable and inclusive. Most Indians think in their mother tongue, and when technology speaks that language, learning becomes natural and effective. Vernacular-language AI will play a major role in bringing millions of students into the digital economy.

Jobs, fear, and reality

Many families worry that AI will take away jobs. The reality is more balanced. AI will reduce repetitive work, but it will also create new opportunities. These opportunities will appear in agriculture, education, healthcare, media, and small businesses. These roles will not be limited to coders. Communication, creativity, judgement, and problem-solving will be equally important.

What skills will matter most

In the AI era, problem-solving comes first. Creativity and communication follow closely. Coding remains important, but it is a tool, not the final goal. The best students of the future will not be those who memorise the most answers. They will be the ones who ask the best questions.

A message to students from small towns

Do not fear AI, and do not depend on it blindly. Use it to learn better, not to avoid learning. Read more, think deeper, question everything, and verify before you believe. If Indian schools build this mindset early, India will not just use AI created elsewhere. We will raise a generation capable of creating meaningful AI solutions for India and the world.