LEADERSHIP IN THE AGE OF ai

OVERVIEW

Leadership is undergoing a profound shift as the rise of Artificial Intelligence (AI) and Generative AI reshapes how leaders think, decide, and act. This is not just a technological disruption; it is a paradigm shift redefining the very essence of leadership. As AI influences everything from strategic decision-making to daily operations, the role of leadership is being fundamentally redefined. Traditional leadership models, rooted in experience, hierarchy, and intuition, must now contend with a world where machines can analyze faster, predict better, and scale solutions with unprecedented speed. The crucial question is no longer simply how leaders use AI, but how they lead in a world where intelligence is no longer solely human.

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The leaders of tomorrow will need to:

  • Navigate the blurred boundaries between human and machine intelligence
  • Develop a deeper understanding of AI’s capabilities, risks, and ethical considerations
  • Reimagine decision-making in a data-driven, real-time environment
  • Inspire and lead teams that include both people and intelligent systems
  • Create cultures of trust, agility, and continuous learning

The stakes are higher than simply adopting new tools; they involve the evolution of leadership itself. The leaders of tomorrow will be defined by their ability to responsibly and strategically harness AI—those who can seamlessly integrate empathy with algorithms, vision with data, and purpose with progress.

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Programme Objectives

Programme Structure

This transformative leadership development programme is structured around seven comprehensive modules and includes two interactive Faculty Lounge sessions for deeper dialogue and reflection.
Participants will engage in a total of 144 learning hours, comprising 48 hours of faculty-led live virtual sessions and 96 hours of scheduled and guided learning. The guided learning component includes reading resources, curated media content, application-based activities, and peer collaborations embedded within each module.

Programme Coverage

Understanding AI and Its Applications
  • AI Fundamentals: Includes machine learning, deep learning, and natural language processing.
  • AI Applications in Industries: Covers sectors like healthcare, finance, and marketing.
  • AI-Powered Tools for Leaders: Mentions chatbots and predictive analytics.
AI-Driven Decision Making
  • Data-driven decision making with Al
  • Al-powered analytics and insights
  • Avoiding Al bias in decision making
LEADING IN THE AI LED WORLD OF BUSINESS AND MANAGEMENT
  • Digital transformation and organizational change
  • Leading virtual teams and remote work
  • Effective communication in an Al-driven workplace
  • Defining effective Process Management and identifying process lags
  • Creating the business fabric for operational effectiveness
  • Developing the business case for Al led RPA [Robotic Process Automation] implementation
LEADING BUSINESS WITH AI
  • Developing an Al strategy for business
  • Integrating Al into business models
  • Organizational issues for Al adoption
  • Talent management in an Al-driven workforce
  • Change management and Al implementation
AI AND THE FUTURE BUSINESS MODELS
  • The Future of Business: Data, Al, and The Power of Disruption Implications of Al on Future Business Models: Analyze the evolving business landscape influenced by Al, focusing on new value creation strategies and disruptions.
  • Al-Driven Innovation and Business Transformation Leveraging Al for Strategic Growth: Examine how Al is fueling innovation across industries, enabling businesses to reinvent their models, optimize operations, and tap into new markets. Focus on Al's role in driving digital transformation, enhancing competitive advantage, and fostering agile, data-driven decision-making to stay ahead of market disruptions.
TRANSFORMATIONAL LEADERSHIP IN AI
  • Building Blocks to Leadership
    • Leading Myself, Teams, and Organisations: Explore leadership frameworks for effectively guiding oneself, teams, and entire organizations in the context of Al integration.
    • Key Leadership Behaviours: Identify essential leadership traits and behaviours that drive successful Al adoption and organizational change.
  • Leadership in the Age of AI
    • Impact of Al on Leadership Dynamics: Examine how Al is reshaping leadership roles, decision-making processes, and organizational structures.
    • Characteristics of Successful Leaders: Discuss the skills and attributes of leaders who excel in Al-driven environments.
ETHICS AND RESPONSIBLE AI LEADERSHIP
  • Al governance and responsible Al development
  • Al and data privacy
  • Mitigating Al risks and unintended consequences

Programme Outcomes

By the end of this programme, participants will be able to:

Deepen their understanding of leadership fundamentals, while re-examining traditional paradigms in light of emerging AI capabilities.

Identify leadership dimensions that require reinvention to stay relevant and effective in an AI and Generative AI-driven business context.

Grasp the core principles and practical applications of AI and Generative AI, without delving into technical complexities.

Apply key concepts through curated AI learning models and experiential classroom exercises designed to stimulate real-world thinking.

Explore how AI can enhance strategic decision-making, optimize operations, and drive growth.

Learn to seamlessly integrate AI into business strategy, aligning innovation with long-term value creation.

Develop future-ready leadership competencies, including digital fluency, agility, and systems thinking.

Receive structured feedback and evaluation, both during the programme and at its conclusion, to assess learning effectiveness across multiple dimensions.

Who Should Attend?

Senior and Middle Management Officials
Business Unit Leaders and Department Heads
Mid-Level Officials with Leadership Potential
Strategic Planning and Innovation Teams
Entrepreneurs and Startup Founders
Strategy and Business Consultants

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