For years, engineering education has been built around the assumption that mastering programming languages would be the primary gateway to technology careers. That assumption is now showing its limits.
In a world where AI tools can generate functional code in seconds, coding itself is no longer a differentiator. The real value lies in understanding problems, designing systems, and applying technology in meaningful ways. This shift is increasingly reflected in employer expectations across industries.
Reports from organisations such as the World Economic Forum (WEF) highlight the growing mismatch between existing workforce skills and evolving employer requirements. According to the WEF’s Future of Jobs Report 2025, nearly 39 percent of workers’ core skills are expected to change by 2030, making reskilling and continuous learning essential across industries.
Other industry reports also suggest that the demand for skills such as critical thinking, problem-solving, AI literacy, and technological adaptability is only growing. The issue is no longer access to education. It is the gap between learning and employability.
In today’s rapidly evolving technological landscape, the more important question is whether students can apply their knowledge to solve real-world problems.
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From engineering education to capability
For decades, engineering education systems around the world have relied primarily on degrees, examination scores, and academic performance as indicators of student achievement. While these remain important measures of knowledge acquisition, they do not always reflect an individual’s ability to apply knowledge in real-world settings.
This challenge is particularly visible in India. The country is one of the world’s largest producers of engineering talent, with approximately 1.5 million engineering graduates entering the workforce each year.
Despite producing one of the world’s largest pools of engineering graduates, employability assessments continue to reveal significant gaps between graduate capabilities and industry expectations.
Employers are increasingly looking for individuals who combine a strong understanding of core engineering fundamentals with critical thinking, problem-solving, adaptability, and systems thinking.
This trend has become increasingly evident in recent years. As industries undergo rapid digital transformation, employers are placing greater emphasis on practical skills, adaptability, and continuous learning alongside formal qualifications.
According to LinkedIn’s Workplace Learning Report, 2025, there is a growing shift toward skill-based hiring, with organizations increasingly prioritizing demonstrated competencies over traditional credentials.
Capability extends beyond technical knowledge. It includes systems thinking, hands-on experience, adaptability, collaboration, and the ability to navigate uncertainty. In practice, this means moving beyond solving textbook problems to tackling real-world challenges, working effectively in teams, integrating knowledge across disciplines, and adapting to rapidly changing technologies and workplace requirements.
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AI has raised the bar
There is a growing perception that artificial intelligence will make engineering easier. The ability of AI systems to generate code, provide instant solutions, and automate routine tasks has led some to assume that technical expertise will become less important.
In reality, it is raising the bar.
Research from McKinsey & Company suggests that while automation will increasingly handle repetitive and routine tasks, demand for higher-order cognitive skills including critical thinking, decision-making, creativity, and complex problem-solving will continue to grow.
AI can generate code, automate workflows, and accelerate development cycles. However, engineers must still evaluate outputs, identify flaws, address unexpected scenarios, adapt solutions to practical constraints, and take responsibility for outcomes.
AI does not replace engineers. It amplifies the difference between those who can think critically and those who cannot.
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Rethinking education for a changing world
The transformation required in engineering education is not merely technical, it is philosophical.
In a world where knowledge is instantly accessible and AI tools can generate information on demand, the purpose of education must evolve from delivering content to building capability.
The engineers who will thrive in the coming decades will be those who continuously learn, willingly unlearn outdated approaches, and adapt to emerging technologies.
In an era of rapid technological change, learning agility, digital competencies, and the ability to navigate uncertainty are becoming critical determinants of workforce readiness.
Curiosity and problem-solving are no longer optional attributes. They have become essential professional competencies.
India produces one of the largest pools of engineering graduates in the world. Yet scale alone is not enough.
The goal can no longer be simply to produce degree holders. It must be to develop professionals who can contribute meaningfully from day one.
This requires universities to move beyond traditional models of instruction and create learning environments that emphasize application, experimentation, and problem-solving.
As technology is evolving faster than ever, educational institutions must focus not only on what students know, but also on what they can do with that knowledge.
Because in the age of AI, the real differentiator is no longer what you know. It is what you can build and how effectively you can apply it.
Kiran Khatter is Professor and Associate Dean, Training, Industry and Corporate Connect at the School of Engineering and Technology, BML Munjal University. Originally published under Creative Commons by 360info
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