The Urgency of Now: Leadership development for AI-enabled higher education
Artificial intelligence is exposing the limits of traditional academic leadership models, revealing a new set of leadership responsibilities emerging across higher education.
Universities were built in times that rewarded predictability and continuity. Governance structures, administrative processes, and academic planning models assumed that while change would occur, it would do so in ways that allowed time for careful evaluation and collective decision-making.
However, the environment facing colleges and universities today is no longer defined by predictable change. Structures designed for stability are now operating within conditions of continuous disruption, fundamentally changing how leadership needs to be imagined and brought to life.
University leadership is shifting from stewardship of systems to guiding institutions through uncertainty
The work of leaders is shifting from stewardship of relatively stable systems to guiding institutions through ongoing technological and cultural transformation, frequently without clear precedents or fully formed answers:
Artificial intelligence is reshaping how knowledge is created and evaluated, how students and faculty engage with learning, and how administrative work is organized.
Digital and hybrid modes of collaboration are altering how academic communities function.
Institutions are confronting rising concerns about burnout, trust, and the long-term sustainability of academic careers.
It is critical that universities rethink how they are growing their leadership pipelines
The deeper implication of these shifts is clear: leadership development is no longer about preparing individuals for known roles, but about building the capacity to lead in conditions that cannot be fully predicted.
Universities have traditionally relied on positional progression—faculty become chairs, chairs become deans—with the expectation that capability develops through experience. This model worked best in more stable environments, where leaders could grow into their roles over time.
In an AI-enabled context, that assumption no longer holds. Leaders are making decisions about new technologies, guiding changes in teaching and research, and using data to shape their institution’s direction. The learning curve is steep, the stakes are high, and the timeline is compressed. There is no longer sufficient time to “grow into” leadership. Today, leadership capability must be built before and across role transitions, not after them.
Leading institutions are responding by designing multi-level leadership architectures that build capacity across the organization, including early-career faculty programs to mid-career cohort experiences and advanced academies for senior leaders. These are not one-time interventions but sequenced, cohort-based journeys that integrate workshops, peer learning, coaching, and applied projects tied to institutional priorities.
Four leadership responsibilities for the AI-enabled university
Examples of critical new and emerging leadership responsibilities that can be explored in these cohort-based approaches include:
Hybrid trust: Leading across human and technological systems
One of the most significant emerging responsibilities for academic leaders is cultivating what has been called “hybrid trust.”
Leadership no longer operates solely within human systems.
Artificial intelligence is increasingly embedded in advising platforms, teaching, research workflows, enrollment management, and institutional analytics.
Decisions are increasingly shaped by a combination of human judgment and algorithmic insight.
Leaders must help their communities understand not only what decisions are being made, but how they are being informed. They must create transparency around the role of AI, clarify where human judgment remains essential, and ensure that ethical considerations are not abstract principles but active practices.
2. Human sustainability in a digitally accelerated environment
Digital tools have increased efficiency, but they have also intensified the pace and cognitive load of work. Faculty and staff are navigating an expanding ecosystem of platforms, data, communications, and expectations. The result is not simply more work, but more fragmented and mentally demanding work. Burnout in higher education is increasingly tied to this cognitive and emotional complexity.
This places new expectations on leadership. Emotional intelligence, the ability to regulate pace and pressure, and the capacity to create psychologically safe environments are no longer “soft skills.” They are core leadership capabilities.
3. Facilitating decisions with ambiguous information
In an AI-enabled environment, leaders are not facing a lack of information—they are facing an overabundance of it, often of uneven quality, with evolving assumptions and unclear implications. Leaders must help teams distinguish between what is known, what is assumed, and what is still emerging. They must guide groups through trade-offs, surface risks transparently, and create shared understanding—even when agreement is not total.
This represents a shift from decision-making as a point-in-time event to decision-making as an ongoing, adaptive process. Leaders who can facilitate this kind of movement—anchored in judgment, transparency, and iteration—enable their institutions to move forward with intention rather than hesitation, even when the path is not fully defined.
4. Stewardship through sensemaking and change
A key challenge facing university leaders is not to abandon stewardship, but to extend it using sensemaking.
Sensemaking is the critical addition. Stewardship must now be paired with the ability to interpret what is unfolding, to distinguish signal from noise, and to help others make meaning of complex and sometimes conflicting information.
Sensemaking also becomes a collective act. Leaders are not simply interpreting the environment for others; they are creating the conditions for institutions to think together, across faculty, administration, and technical domains.
How the Academic Leadership Group can help
At the Academic Leadership Group, we believe that leadership development is not separate from institutional strategy. It is how strategy is brought to life. We partner with institutions to design leadership development that aligns with the realities leaders face today.
We offer programs on decision-making, stakeholder engagement, adaptive leadership, and sensemaking. They include cohort-based learning for faculty and administrators, immersive experiences tackling real institutional challenges, and coaching to apply learning in practice. We also partner with institutions to build leadership pathways that develop capacity at every level, not just the top. Development is continuous, contextual, and directly relevant to real-world challenges.
If you’d like to know more, we’d love to talk to you. Please get in touch and we can set up a call.