In an era of rapidly advancing artificial intelligence and digitalization, the concept of the “engineer of the future” is taking on an entirely new meaning. This is no longer merely a specialist in coding, robotics or emerging technologies. It is a technological humanist — someone who combines expertise in the sciences and engineering with knowledge drawn from the humanities, ethics, and social and environmental issues.
From an academic perspective, including the experience of the Polish-Japanese Academy of Information Technology, it is becoming increasingly clear that the labor market is shifting toward hybrid skills. It is no longer enough to know how to build something. One must also understand why it is being built and what consequences it may bring.
The economy of the future is based on digital transformation, the metaverse and the attention economy. In a world where digital and physical life increasingly overlap and operate in parallel, interdisciplinary skills are becoming essential. The engineer of the future must be able to work on three levels of knowledge:
Know-why – understanding the causes and context of phenomena,
Know-what – having access to reliable information and data,
Know-how – the ability to apply knowledge in practice.
This is not merely a theoretical concept. According to the World Economic Forum’s Future of Jobs report, as much as 44% of workers’ skills will change by 2027, with the most important capabilities including analytical thinking, creativity, technological competence and the ability to learn continuously.
McKinsey & Company analyses, meanwhile, indicate that more than 50% of professional tasks can be at least partially automated. Paradoxically, this increases demand for specialists who are able to combine technology with social, business and ethical context.
The OECD also confirms this trend. Education systems that integrate the STEAM approach — science, technology, engineering, arts and mathematics — are more effective in preparing people to function in a world defined by complexity, uncertainty and rapid change.
In practice, this means that the modern engineer not only solves technical problems, but also anticipates the consequences of their actions, analyzes systems on a global scale, and implements innovation responsibly.
What matters most are systems thinking, the ability to work at the intersection of different disciplines, and the application of engineering ethics on a global scale.
The conclusion is clear: educating future engineers must prepare them not only to work with technology, but above all to operate in a world of decisions and responsibility.
AI is not taking work away. It is redefining competencies. The advantage will belong to those who can use it consciously — combining knowledge, technology and responsibility.
