How Generative AI Is Reshaping Middle Management Roles and Competencies

A 2026 academic paper by Philippe Jean-Baptiste, published in IFKAD25 Knowledge Insights (Springer Nature Switzerland), examines how Generative AI is transforming the roles and responsibilities of middle managers in organizations.
What the research found:
- Generative AI is acting as a catalyst for organizational change, forcing managers to balance innovation with regulatory compliance
- Bottom-up innovation, often emerging as Shadow IT, is challenging traditional governance structures
- Middle managers now need both conceptual thinking skills and technical fluency to navigate AI-augmented workplaces
- AI is driving managers to reprioritize tasks and redefine their organizational value
Key competencies in demand:
- The ability to oversee and evaluate AI-generated outputs
- Managing the tension between flexible bottom-up experimentation and centralized control structures
- Leading through systemic contradictions that emerge as organizations adapt to AI
The study emphasizes that organizations need to rethink power structures and invest in skill development to capture AI's potential without sacrificing strategic coherence. Through real-world examples, the paper shows how managers are adapting, reprioritizing, and redefining their value in AI-augmented workplaces.
Key takeaways:
- Generative AI is not eliminating middle management but fundamentally changing what it means to manage
- Shadow IT represents a friction point between innovation and governance that requires active management strategy
- Organizations that fail to rethink management competency models risk strategic incoherence as AI adoption deepens
Read the full article on Springer Professional.
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