9 in 10
organizations already use AI regularly in at least one business function.
McKinsey, 2026
Talent, Leadership and Personal Development
Human-AI Leadership
A program led by Sharon Horowitz and Alberto Levy, experts in human behavior and technological innovation.
next edition Nov 9, 2026
duration 16 hours
study mode In-person
language English
investment €1350
why this program?
As AI transforms work, the demands on leadership continue to grow
44%
say AI is already being scaled across the organization.
McKinsey, 2026
37%
report some EBIT impact from the use of AI.
McKinsey, 2026
26%
of AI users say leadership is clearly and consistently aligned around AI.
Microsoft, 2026
67% vs. 32%
the weight associated with organizational factors, compared with individual factors, in the reported impact of AI use.
Microsoft, 2026
86%
of AI users treat its outputs as a starting point and remain responsible for the reasoning.
Microsoft, 2026
who is it for?
Different backgrounds, shared challenges
Functional and business unit leaders
With responsibility for both business performance and the people within their area.
Department and team leaders
Whose responsibilities are being affected by AI-driven changes in work, processes, or roles.
Senior managers
Responsible for implementing organizational priorities in areas where AI is becoming increasingly relevant.
General Managers of SMEs
With broad responsibility for business performance, people, and AI-related decisions.
Leaders with no technical AI background
Called on to introduce, adopt, or respond to AI within their area, with limited specialist support.
what you will develop
Knowledge that translates into practice
Executive AI Understanding
Understand AI and its organizational implications to assess opportunities, risks, and leadership challenges with greater clarity.
Lead with Courage Under Uncertainty
Act with clarity and purpose as AI transforms work, roles, and expectations.
Leading Change
Diagnose resistance to AI-driven change, understand what may be under threat, and create the conditions for trust and adaptation.
Communication Through Disruption
Help people navigate changing roles and professional identities, creating alignment as expectations evolve.
Judgment and Accountability with AI
Define criteria for where AI can support work and decision-making while keeping human judgment, decision rights, and accountability explicit.
Technology, People and Purpose
Integrate AI, human capability, and organizational priorities into leadership decisions and practice.
why pbs?
4 reasons to choose this program
Technology and human behavior together
Each leadership challenge is explored from both perspectives at the same time, reflecting how AI-related decisions actually unfold in organizations and revealing the trade-offs between technological possibilities and human responses.
Leadership dilemmas at the center
Realistic scenarios require participants to balance business value, human responses, judgment, and accountability, before defining concrete actions they can take back to their organizations.
Technology-agnostic by design
The focus remains on leadership judgment and decision criteria that stay relevant as AI tools, platforms, and applications continue to evolve.
AI through a human lens
From uncertainty and resistance to changing expectations of leaders, participants examine the human dynamics that influence adoption and shape leadership decisions.
expected impact
Outcomes that translate into value
For you
Greater confidence when facing AI-related leadership challenges, without the need for technical specialization.
Stronger judgment in uncertain contexts, when opportunities, risks, and organizational implications are not yet fully clear.
Greater confidence and courage to lead people through change, in the face of resistance, anxiety, and changing expectations around work.
Greater clarity around human accountability, distinguishing where AI can support a decision and where human judgment must remain explicit.
For your organization
Better-framed AI decisions, grounded in clear criteria and trade-offs.
Greater alignment between technical and business teams, through a shared language around AI-related decisions.
Stronger organizational conditions for AI adoption, with attention to culture, management practices, and people’s capacity to adapt.
Greater leadership capacity as AI evolves, together with roles and organizational expectations.
Apply to Human-AI Leadership
Start applicationCustomize this program for your team
Contact our Corporate Solutions team
international recognition
Rankings that reinforce our results.
Financial Times
Executive Education 2026 Worldwide
learning journey
Human-AI Leadership Journey
Across two consecutive days, the program brings technology and human behavior together to develop the judgment required to lead through AI-driven change, from understanding disruption to decision-making, accountability, and organizational adaptation.
– Understanding Disruption and Leading ChangeNov 9
Understand AI-driven disruption and the human responses that shape its adoption within organizations.
Sessions
- Leading in AI-Driven Uncertainty (4h) — Alberto Levy and Sharon Horowitz · Guest Speaker: John Duffield (remote participation)
- Leading People Through Change and Resistance (4h) — Sharon Horowitz
Impact
- Greater clarity when facing AI-driven disruption
- A stronger understanding of human responses to change
- Greater ability to provide direction in uncertain contexts
– Networking DinnerNov 9 · 7:15 PM
An informal moment at the end of the first day to continue the conversation, exchange perspectives with peers, and strengthen the connections built throughout the program.
The networking dinner is included in the program fee and takes place outside the program’s 16 teaching hours.
– Leading Work, Decisions and Accountability with AInov 10
Integrate AI, human judgment, and organizational priorities into leadership decisions.
Sessions
- Leading Work and Decisions with AI (4h) — Alberto Levy
- Orchestrating Human-AI Leadership (4h) — Alberto Levy and Sharon Horowitz
Impact
- Clearer criteria for AI-supported decisions
- Stronger judgment and accountability
- Better integration between technology and people
- Greater readiness to lead through successive waves of change
how you will learn
Immersive learning
Structured peer discussion
Sessions are built around structured discussion between participants with comparable responsibilities, who take a position, challenge assumptions, and confront different interpretations of the same leadership dilemmas.
A real challenge from your team
Each participant brings a real challenge related to AI or change. The initial diagnosis identifies uncertainties, organizational expectations, and team concerns; at the end, participants return to the same challenge to define one assumption to reconsider, one conversation to have, and one action to implement.
Peer learning and feedback
Small-group and plenary work makes it possible to compare how different organizations and teams respond to the same disruption, bringing business and technology perspectives together before consolidating a position.
Dilemmas with no single answer
The challenges explored create tension between business value, human responses, and accountability. Participants reach a position, defend it among peers, and examine the implications of their decision for people and for the accountability involved.
faculty
Program direction
Alberto Levy is a professor of entrepreneurship and artificial intelligence at Porto Business School and IE Business School, where he teaches innovation, design thinking and digital leadership. An innovation advisor, technology strategist and entrepreneur, he has worked with organizations across multiple industries and countries, advising leaders on innovation, emerging technologies and digital transformation. He has […]- Sharon Horowitz, PhD, is a business psychologist and founder & managing partner of CenterNORTH, an international CEO advisory and leadership consultancy. Based across the U.S. and Europe, she has advised CEOs, CIOs and senior leadership teams for more than 30 years on leadership, organizational change, succession and the human dynamics of business. Her work combines […]
Guest speaker
LinkedIn — John DuffieldJohn Duffield
Founder of Signal Two and a specialist in digital transformation and AI, with more than 20 years of experience in marketing, technology, and innovation.
INVESTMENT & TERMS
Prepare your application
Admission is subject to seat availability, so we recommend completing your application as early as possible.
- early bird 5% discountUntil October 9, 2026€1282,5 Save €67,5
- last call Base priceUntil November 4, 2026€1350 Subject to availability
Admissions Team
Meet our Admissions team
Get answers to your questions, assess how the program fits your professional journey, and learn about the application process, schedule, investment, and next steps.
human-ai leadership
The next edition takes place on November 9 and 10 Your decision starts now.
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