What’s missing from most university AI strategies

Universities worldwide now recognise that AI isn’t just a passing trend—it’s a transformative force reshaping the educational landscape. Institutions are actively hiring AI specialists, experimenting with new tools, and launching pilot projects across teaching, support services, and research. However, while universities are eager to implement AI, they often lack a comprehensive understanding of the motivations behind these initiatives. Is it merely about keeping up with technology, or is there a deeper purpose to be explored?

Our conversations with university leaders around the globe reveal a shared sentiment: many AI strategies resemble technology adoption plans rather than roadmaps for true institutional transformation. When asked, “What is the purpose of your AI investments?” leaders typically identified five key areas of opportunity. Yet, troublingly, few institutions engage with all five opportunities with the clarity and coordination required for meaningful change.

Where AI strategy is falling short

Most AI strategies focus primarily on pilot projects and procurement rather than prioritising essential elements, such as effective governance and operational alignment. While pilot projects can offer valuable insights, they often remain isolated efforts that lack integration into a comprehensive institutional approach. This disjointed strategy can lead to fragmented initiatives that do not drive the meaningful, systemic change needed to benefit the entire university community.

Moreover, when institutions concentrate heavily on pilot projects, they risk overlooking the importance of equipping academic and professional staff with the necessary skills and knowledge to effectively utilise AI tools. Without adequate training and support, there may be resistance to adopting AI within the curriculum and research practices, limiting the technology’s impact. Consequently, universities may foster pockets of innovation that fail to connect with the larger institutional goals, ultimately undermining their ability to leverage AI as a transformative force in higher education.

The five missed opportunities of AI strategy

To avoid treating AI as an isolated project, university leaders should concentrate on five core areas of opportunity:

1. Curriculum Relevance

By incorporating AI into course programmes, universities can prepare students for a future shaped by automation and collaborative human-machine interactions. For instance, students in major disciplines outside of computer science courses should take at least one AI-related course. This approach equips learners with essential skills needed to excel in a rapidly changing workforce, where adaptability and tech fluency are vital.

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2. Scaled Student Support Services

Offering 24/7, personalised student services is crucial for enhancing the overall student experience. Conversational AI can transform how universities handle diverse student queries. For example, an Irish university created an AI-powered student engagement platform that provides round-the-clock support to students by answering common questions on topics, from bike parking and classroom locations to mental health resources. This platform leverages information already gathered by student services to free up human support staff capacity. Such accessibility not only fosters a stronger sense of belonging but also eases the workload on staff during busy periods.

3. Staff Efficiency and Capacity

Automating routine administrative tasks effectively frees staff time for more strategic and impactful work. By using AI to handle repetitive responsibilities, such as drafting marketing emails or managing schedules, universities empower their staff to focus on high-value activities, like improving programme design, engaging students, and promoting institutional innovation.

4. Personalised Communications

Leveraging generative AI for personalised content creation is essential for enhancing enrolment and advancement efforts. By crafting tailored messages for individual prospective students, institutions can establish deeper connections with their audiences, ultimately improving engagement and increasing application rates.

5. Research Innovation

AI’s capability to analyse large volumes of data and identify trends offers researchers exciting opportunities for innovation and collaboration. This technological integration provides researchers with crucial tools to enhance their ability to discover and impact various disciplines, significantly boosting the institution’s research profile.

How to get it right

Leading institutions focus on clarifying ownership of their AI strategies and establishing strong governance structures that ensure accountability and transparency. Additionally, it’s essential to equip academies and staff—not just IT leaders—with the skills and knowledge necessary for responsible AI usage.

At EAB, we recognise these complexities and are dedicated to helping universities thrive by providing tailored guidance and resources. Our strategic expertise helps institutions develop comprehensive AI strategies that encourage innovation while navigating the ever-changing landscape of AI in higher education.