I teach leadership, strategy, and innovation at a leading business school, and I must admit that AI-powered tools have fundamentally transformed the way we work—and should lead.

Traditional frameworks and approaches to leadership, strategy, and innovation are no longer sufficient. The rise of AI demands a rethink, a redefinition of how we lead teams, craft strategies, and drive innovation in a rapidly evolving business landscape.

This power-packed course is designed to guide busy executives through this transformational shift. You’ll explore how AI reshapes leaders' decision-making, strategy design, and innovation processes while learning how to align these changes with your organization’s goals.

This course is thoughtfully designed into 4 modules, delivered through 2 days of live sessions.

DAY 1/2

Module 1: AI and its Business Implications

Learning Objectives:

→ Understand the fundamentals of Artificial Intelligence and its key applications in business.

→ Explore how AI is disrupting industries and reshaping business models.

Case Studies:

Amazon: Leveraging AI for personalized recommendations and supply chain optimization.

Netflix: Using AI to analyze viewer preferences and optimize content creation.

Module 2: Redefining Leadership in the Age of AI

Learning Objectives:

→ Explore the changing role of leaders in AI-driven organizations.

→ Learn to foster human-AI collaboration while maintaining empathy and ethical decision-making.

Case Studies:

Microsoft: Transforming leadership practices to build trust in AI technologies.

Google DeepMind: Ethical challenges and leadership lessons in AI innovation.

DAY 2/2

Module 3: Strategic Thinking and Decision-Making in the AI Era

Learning Objectives:

→ Develop adaptive strategies that leverage AI capabilities.

→ Enhance decision-making by integrating AI-driven insights.

Case Studies:

Tesla: Using AI for real-time data analysis and strategic decision-making in autonomous vehicles.

Procter & Gamble: AI-driven consumer insights for strategic market positioning.

Module 4: Driving Innovation with AI

Learning Objectives:

→ Foster a culture of experimentation and continuous innovation using AI.

→ Identify opportunities for AI to enable breakthrough innovations.

Case Studies:

OpenAI: Revolutionizing industries with generative AI innovations like ChatGPT.

Airbnb: Using AI to enhance customer experiences and innovate pricing models.

The course ends with a hands-on implementation project (AI-driven Leadership, Strategy and Innovation Plan) giving you a chance to apply your learnings.