Why Learners Must Learn To work With AI, Not Against It

Students using AI tools to enhance learning and problem-solving in modern classrooms.

By Anshuman Prasad

Artificial intelligence is one of the most remarkable inventions of our time. It is changing the way learners absorb information, work, and interact with the world. There is a great deal of excitement and discussion about AI’s new abilities. However, history reminds us to remain cautious. Every major invention, from farming to the steam engine to the microchip, transformed the world in significant ways, only to be replaced later by something more advanced.

Today, learners are at a similar turning point as they use AI tools in classrooms and in their daily lives. The important question is not whether learners should use AI, but whether they know how to use it in thoughtful, creative, and intelligent ways that support their growth rather than encourage shortcuts.

According to the India Skills Report 2025 by Wheebox, India has the world’s largest young talent pool, with more than 600 million people under the age of 25. If we equip these learners with AI skills, we will not simply adapt to the future, we will shape it.

Technology that once appeared to threaten jobs has become the foundation of modern learning and work. Artificial intelligence is the next and far more powerful wave. It is already embedded in classrooms, research tools, and workplace systems. The question is not if learners should use AI, but how they can use it wisely as a thinking partner rather than a shortcut.

AI As An Amplifier Of Thinking, Not A Replacement

A common fear is that AI reduces curiosity, that students will ask a chatbot and stop thinking. This risk is real. However, when used well, AI can do the opposite. It can make abstract ideas visible, create simulations, and offer multiple ways to solve problems that inspire deeper exploration. For example, AI-powered tools can turn a physics concept into an interactive model or present a mathematical problem in various forms, helping students compare methods.

One of our students at NIIT recently used an agent-based AI system to prototype an app in a single week, work that would usually require a month. This is what AI as a learning accelerator looks like.

The National Education Policy (NEP) 2020 correctly identifies technology as a key enabler of personalised learning. It encourages digital tools that support creativity, problem solving, and conceptual understanding rather than rote memorisation.

The Danger Of Using AI For Answers Instead Of learning

Many learners today use GenAI tools to find quick answers. When these answers are accepted without verification or reflection, real learning can be affected. Experts warn that over-reliance on AI can weaken natural curiosity. Using AI to review and improve your own work can be extremely beneficial, but depending on it to complete assignments does not help a learner grow.

I recently spoke with a professor at my alma mater who shared an insightful observation. AI has improved the overall quality of assignments and case studies, but it has also reduced the number of standout submissions where students present fresh, original ideas. This shows us that while AI is a valuable tool, it must be used to support curiosity, not replace it.

From Literacy To Capability

Concrete pathways already exist to turn this vision into reality. New programmes in agentic AI teach learners how to work with AI systems that can think, plan, and act autonomously. These systems help learners combine language models, data, and automation tools to build practical and safe applications at scale.

Students can learn to build retrieval-augmented generation (RAG) systems that ground AI responses in data or design multi-agent workflows that plan, act, and self-check. These examples show how education can move from basic AI literacy to true AI capability.

If AI is to be a co-learner, teachers must model responsible use by demonstrating when to rely on AI and when to question it.

Classroom Practices That Work

Assignments can be redesigned with a simple structure. Learners first solve a problem independently. They then use AI to compare their solution, explore alternative approaches, and evaluate the results. Reflection tasks, ethical discussions, and assessment rubrics that reward reasoning and verification rather than only correct answers help students understand when AI is helpful and when human judgement is essential. This shifts AI from being a shortcut to becoming a mirror that reveals both strengths and areas for improvement.