The Times of India profiles Raul John Aju, a Class 12 Commerce student from Kerala, who has gained attention for building AI tools while still completing his school education. Rather than following the conventional science-and-engineering route associated with AI, Raul has been developing practical AI projects and working on an education platform focused on helping students and professionals understand how to use the technology.
His story challenges the assumption that AI careers require a traditional computer-science background. By learning through experimentation and practical projects, Raul has been able to build AI tools despite studying Commerce. His work also extends beyond simply using AI: he teaches others about practical applications, positioning AI literacy as a skill that can be developed across academic disciplines.
The broader significance is the democratization of AI development. Modern AI APIs, coding assistants and no-code tools have dramatically lowered the technical barriers that previously prevented students and non-engineers from building software. This means someone with curiosity and a strong understanding of a particular problem can increasingly create useful AI products without first becoming an expert programmer.
Raul's journey therefore reflects a wider shift in the AI economy: domain knowledge, experimentation and the ability to turn AI into practical solutions may matter as much as formal technical credentials. As AI tools become easier to use, students from Commerce, humanities, design and other non-technical fields may increasingly become AI builders—not necessarily by creating foundation models, but by applying existing models to real-world problems.
