New Leadership in the
Era of Generative AI
This project explores how leadership is changing in AI‑augmented workplaces, especially with generative AI. We study how leaders can collaborate effectively with AI, develop new skills, and build cultures that embrace AI while safeguarding inclusion, engagement, and ethics.
Get Involved
We invite organizations, leaders, and practitioners interested in AI‑augmented work to collaborate with us—for discussions, case studies, workshops, or joint events.
Research Purpose
We aim to understand and support new forms of leadership in AI-driven organizations
- Explain how generative AI reshapes leadership roles and responsibilities
- Identify essential leadership skills and competencies for AI-driven workplaces
- Assess which leadership styles work best in AI-augmented teams
- Develop ethical frameworks for AI-assisted leadership
- Propose strategies to cultivate AI-ready, inclusive cultures
Key Focus Areas
How generative AI changes leaders’ roles, decision‑making, and accountability. We examine how leaders shift from directing tasks to orchestrating human–AI collaboration, how decision rights are redistributed, and how leaders maintain responsibility when AI systems contribute to strategic and operational decisions.
Which skills leaders need to guide AI‑augmented teams. We identify technical, social, and ethical competencies leaders require—such as data literacy, critical assessment of AI outputs, communication about AI use, and the ability to manage change and uncertainty.
Leadership styles that work best when humans and AI collaborate. We explore which approaches (e.g., transformational, servant, shared, adaptive leadership) foster trust, experimentation, and psychological safety in teams where AI tools play an active role.
Ethical challenges when leaders rely on AI insights. We analyze issues such as bias, fairness, transparency, and accountability in AI‑supported decisions and propose frameworks for responsible AI leadership.
How to create cultures that embrace AI without excluding people. We study how leaders can foster openness to AI, protect employee voice and inclusion, address fears of automation, and ensure that AI supports, rather than undermines, engagement and well‑being.
Project Team
Natalia Vuori
Assistant Professor
Department of Industrial Engineering and Management (TUTA)
Aalto University
Tim Jeschek
Doctoral Researcher
Department of Industrial Engineering and Management (TUTA)
Aalto University
Get Involved
We invite organizations, leaders, and practitioners interested in AI‑augmented work to collaborate with us—for discussions, case studies, workshops, or joint events.