INTEGRATING AI
Matching the task to the role: five levels of AI use
Role
What AI does…
Human responsibility is to…
Assistant
Helps organise & produce materials
Check accuracy & avoid shallow learning
Thought partner
Expands thinking & tests assumptions
Preserve judgement & decide what matters
Coach
Supports reflection & rehearsal
Engage honestly with feedback & real people
Analyst
Synthesises complexity
Interpret meaning & verify patterns
Agent
Acts on delegated tasks
Set boundaries, oversight & accountability
used to produce assignments that a student does not understand, cannot defend or has not meaningfully shaped. It should not replace reading, reflection or participation. Nor should it be used carelessly with sensitive organisational data, confidential case material or personal information. Students must also check outputs critically, since AI can generate errors, omit important context or present plausible-sounding claims with undue confidence. In this sense, responsible AI use requires students to strengthen, rather than outsource, critical thinking. Responsibility also includes considering the wider effects of AI. Systems associated with the technology depend on data centres, compute infrastructure, electricity, cooling and hardware supply chains. In 2025, the International Energy Agency noted that wider AI deployment raises questions about energy demand, emissions, innovation, affordability and energy security. Similarly, OECD work on the “AI footprint” calls for better measurement, transparency and attention to the environmental effects of AI systems. Academic research reinforces this caution. At Vrije Universiteit Amsterdam, Alex de Vries reviewed early evidence on AI’s electricity consumption in a 2023 paper and considered what widespread AI deployment at scale could mean. His analysis highlights the growing energy footprint of AI and considers the sustainability of ever‑larger, more compute-intensive models. For students, this means using AI thoughtfully: asking whether a task really needs AI and using it for high-value cognitive support rather than unnecessary convenience that may carry unseen environmental costs elsewhere. Responsible AI use, therefore, is not only about avoiding misconduct. It is also about developing the habits of judgement, accountability and restraint that responsible leaders need when working with powerful technologies. Ultimately, MBA students need to know how to use AI wisely. Used badly, it can encourage superficiality, overreliance and the outsourcing of judgement. Used well, AI can help students become better organised, more analytical and more reflective, as well as better prepared for the realities of leadership in a changing workplace.
a large body of material before writing an assignment. AI could even support the integration of knowledge across MBA modules to enhance interdisciplinary learning. However, students must still decide what matters, what’s missing and whether a synthesis is reasonable. AI as an agent: taking on delegated tasks AI as an agent is the most advanced role. Here, AI moves beyond responding to prompts and begins to carry out bounded tasks or parts of workflows with a degree of delegated autonomy. In 2025, for example, McKinsey described AI agents as software components that can act on behalf of a user or system to perform tasks, orchestrate workflows, co-ordinate activities and automate more complex processes. It is beneficial for MBA students to understand this role even if they are not yet using advanced agents extensively in their studies. It points to the emerging managerial skill of not just using AI directly, but deciding what to delegate to it, under what constraints and with what oversight. Learning to think in terms of delegation, control and accountability will become increasingly important as AI systems become more capable. Already, the leadership question is beginning to shift from “How do I use AI?” to “What should I delegate, under what safeguards and where must humans remain accountable?” Responsible use of AI: applying judgement & restraint Alongside opportunity comes responsibility. In an MBA context, responsible AI use means preserving academic integrity, protecting confidentiality, respecting the rights of others and keeping human judgement central. UNESCO’s 2021 Recommendation on the Ethics of Artificial Intelligence and the 2024 update of the Organisation for Economic Co-operation and Development (OECD)’s AI principles emphasise accountability, transparency, human oversight, human rights, privacy, robustness and sustainability as core tenets of responsibility. For MBA students, however, responsible use starts with honesty. AI should not be
Ambition • ISSUE 5 • 2026 31
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