In a world that is being shaped by artificial intelligence (AI), how can institutes prepare their students for the future? The future is undeniably intertwined with AI, and it’s crucial that students are not only aware of AI’s potential but are also equipped with hands-on experience to harness its power. This hinges on access to cutting-edge AI infrastructure, practical exposure to AI-driven applications, and a curriculum that encourages experimentation and innovation.

Hands-on experience in building AI models

Theoretical knowledge alone is insufficient in preparing students for AI careers. Institutions must integrate practical AI training into their curricula. Students should be empowered to experiment with the full lifecycle of AI model development—from data preprocessing and model training to deployment and optimisation. This practical experience is invaluable, as it mirrors the processes they will encounter in professional settings.

AI in high-impact research areas

AI’s role is expanding rapidly into critical research areas such as drug discovery, computational biology, and other life sciences. Higher education institutions that wish to remain at the forefront of research must provide students with the tools necessary to contribute meaningfully to these fields. AI-powered platforms can significantly expedite research and development (R&D) processes by enabling simulations, modelling, and data analysis that would be impractical with traditional methods.

Cultivating an AI-first mindset

Initially, it was believed that AI would predominantly replace repetitive and predictable tasks. However, recent advancements, particularly in Large Language Models (LLMs), Computer Vision, and Multimodal AI, are now impacting even skilled and creative tasks. For instance, accounting is evolving beyond routine data processing, with advanced AI systems now handling aspects of auditing and financial analysis. In transportation, computer vision models are becoming standard, and AI is increasingly managing complex logistics and route planning decisions.

In the service sector, AI is transforming work by shifting the focus from routine tasks to analytical and creative skills. Even in fields like healthcare and education, where the human touch remains vital, AI provides tools that enable more accurate diagnoses and personalised learning experiences.

Focus on human creativity

Additionally, there is a growing demand for skills that AI cannot yet replicate effectively, such as creativity, emotional intelligence, and complex problem-solving. Higher education must acknowledge these trends, ensuring that students understand AI and develop the competencies needed to work alongside it.

Fostering creativity and Innovation: As repetitive and systematic tasks become increasingly automated, creativity and innovation become invaluable assets. Higher education should cultivate these skills, empowering students to develop unique solutions to complex problems—something that AI has not yet fully mastered.

Preparing for continuous learning: The rapid pace of change driven by AI makes continuous learning essential. Higher education must enhance students’ abilities to adapt, learn, and reinvent themselves—crucial skills for navigating an ever-evolving job market.

Building intelligent collaborations: The future of work will not be a simple dichotomy of humans versus machines but will instead revolve around effective human-machine collaboration. Higher education must prepare students to interact and collaborate with AI systems, readying them for a new dynamic in the workplace.

One way to view AI is as “Augmented Intelligence”, enhancing our human capabilities and leading to the creation of hybrid jobs. In an AI-driven job market, professionals are increasingly expected to take on diverse roles.

As we move deeper into an era shaped by artificial intelligence, higher education institutions have a critical role to play in preparing students for the future. The future of work will require a blend of technical expertise and uniquely human skills such as creativity, emotional intelligence, and complex problem-solving. Higher education must rise to the challenge, equipping students with the tools and mindset needed to thrive in an AI-augmented world where continuous learning and intelligent collaboration will define success. The time to act is now, ensuring that students are ready to lead in a future where AI is both a powerful tool and a catalyst for new opportunities.

The writer is VC & Startup Ecosystem Lead, E2E Networks Ltd