Women engineering students in India are reportedly showing increasing interest in careers in artificial intelligence (AI) and machine learning (ML), according to the byteXL AI and Engineering Jobs Report 2025. The report, based on data from over 100,000 students across India, reveals that 40 percent of female students reached the final stage of career track selection—outpacing their male peers. Students from Tier 2 and Tier 3 cities are also emerging as strong contributors to India’s growing talent pipeline in AI and ML fields.
Over 40% of Agentic AI Projects May Be Scrapped By 2027 Amid Rising Costs and Hype: GartnerBased on live data from coding practice and project workspaces, the report states that women showed a significantly higher preference for AI and ML-related careers. It also highlights a growing trend of career awareness among students in Tier 2 and Tier 3 cities. While only 16 percent of students from Tier 1 cities like Hyderabad and Pune selected AI and ML as their preferred career track, the percentage increased to 37.9 percent in Tier 2 cities and 53.9 percent in Tier 3 towns.
Student voices included in the report emphasize the relevance of AI and ML in shaping industries and solving real-world problems. A female student from Parul University, Vadodara and another from Malineni Lakshmaiah Women’s Engineering College, Guntur both cited innovation and problem-solving as motivating factors behind their choice.
Google Unveils Free Open-Source AI Tool Gemini CLI: Here’s How It Could Transform Developer WorkflowsThe report underscores the rise of a future-ready, innovation-focused generation of engineering students—led by women and students from smaller towns—poised to shape the future of India’s tech landscape.
Karun Tadepalli, CEO and Co-founder, of byteXL said, “There is a lot of hunger among students from smaller towns. Engineering continues to be a pathway to a better life. The fact that young women are excelling shows their determination and resolve to make a mark. The report also shows how today’s engineering students are more intentional about their choices. Back in the 90s, switching tracks was rare – a programmer was expected to remain one for life. Today, with agentic AI playing a disruptive role in all aspects of life, students are being strategic about diversifying their skills and keeping their options open. They are making more thoughtful, future-ready choices.
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