Artificial intelligence (AI) is no longer a distant concept confined to technology companies or research laboratories. Today, AI influences how we communicate, study, work, shop, travel and make decisions.
As AI becomes increasingly capable of generating content, writing code and solving complex problems, a new question is emerging for universities: What skills will matter most?
Many assume that preparing students for an AI-powered future simply requires stronger technical expertise. While programming, machine learning and data analytics remain important, the future workforce will require much more than technical ability alone.
In fact, the growing AI era is increasing the value of human-centred skills.
Communication, creativity, ethical judgement, adaptability, collaboration and critical thinking are becoming equally important in technology-driven environments.
The most successful professionals of the future may not necessarily be those who can code the fastest, but those who can combine technical understanding with human insight.
Traditional learning approaches centred on memorisation and examinations are gradually giving way to more experiential, interdisciplinary and problem-based learning environments.
Universities are increasingly focused on helping students apply knowledge in real-world contexts while developing the ability to navigate complex social, ethical and technological challenges.
Within computing and technology education, students benefit significantly from opportunities that connect technical learning with societal challenges.
Projects involving healthcare technologies, smart city systems and sustainability solutions help students understand that technology is not created in isolation but exists to serve people and communities.
For example, students designing AI-enabled healthcare applications must think beyond software functionality alone. They must consider patient accessibility, the ethical use of medical data, user trust, and inclusivity for elderly or vulnerable users.
Similarly, students working on smart city technologies must understand how digital systems influence public safety, transportation, sustainability and quality of life.
These experiences help students apply technical knowledge within real-world social and community contexts.
The growing integration of AI into everyday life further reinforces the importance of responsible technology development.
Questions surrounding misinformation, algorithmic bias, privacy, cybersecurity and accountability have become part of mainstream public discourse.
At the same time, generative AI tools are transforming how students learn, conduct research, create content and solve problems.
Universities must therefore help students understand not only how to build technology, but also how to use it critically, ethically and responsibly. This includes recognising limitations and bias, verifying AI-generated information, protecting academic integrity, and applying human judgement when using digital tools.
Equally important is the ability to communicate across disciplines. Technology professionals rarely work in isolation. They collaborate with healthcare practitioners, policymakers, educators, designers, engineers, business leaders and community stakeholders.
Graduates who can explain technical concepts clearly and work effectively within multidisciplinary teams will be better positioned to lead future innovation.
Malaysia’s digital transformation ambitions further highlight the importance of this shift. As the nation continues strengthening its digital economy, industries increasingly require graduates who can combine technical capability with problem-solving, ethical awareness and human-centred thinking.
Universities therefore play a critical role in preparing students not only for jobs that exist today, but also for careers and challenges that will continue evolving alongside AI and automation.
They must ensure graduates are equipped not only with technical expertise, but also the judgement, adaptability and human understanding needed to navigate an increasingly complex world.
Empathy, creativity, critical thinking, ethical judgement and responsible leadership will remain essential qualities in shaping a future where AI serves humanity, rather than the other way around.
Dr Humaira Ashraf is the programme director for the Master of Applied Computing Programme at the School of Computer Science, Faculty of Innovation & Technology, Taylor’s University. Her teaching and research interests include artificial intelligence, machine learning and innovative approaches in computing education. The views expressed here are the writer’s own.
