AI Literacy: The New Core Competency for Education Leaders

Sattar Bawany is an internationally recognized thought leader in future-ready leadership, AI-augmented organizations, executive coaching, and organizational transformation. He is the founder of the Disruptive Leadership Institute (DLI) and the Centre for Executive Education (CEE), where he advises boards, CEOs, and senior executives across Asia and globally.

With over three decades of experience, his work focuses on helping organizations navigate disruption, build leadership resilience, and prepare leaders for the age of Artificial Intelligence. He is the author of the acclaimed Future-Ready Leadership Book Series, including his latest forthcoming book, Leadership as SHAPER: The Future of Human-AI Organizations (Business Expert Press, 2026).

In an interaction with M R Yuvatha, Senior Correspondent, Asia Education Review, Prof. Sattar Bawany argues that AI literacy must move from a technical afterthought to the core of executive education, if leaders hope to keep pace with the organizations they lead.

The emergence of Artificial Intelligence (AI) represents one of the most consequential shifts in organizational history. While previous industrial revolutions transformed how work was performed, AI is fundamentally changing how decisions are made, how knowledge is created, and increasingly, how leadership is exercised.

We are entering an era of Human-AI Collaborative Organizations, where leaders will routinely partner with intelligent systems to augment judgment, accelerate innovation, improve operational performance, and enhance strategic foresight. The challenge facing organizations today is not whether AI will transform leadership, but whether leaders will evolve quickly enough to remain effective.

Research over the past decade, reflected in the Future-Ready Leadership Book Series including Transforming the Next Generation Leaders (2019), Leadership in Disruptive Times (2023), The Making of a C.R.I.S.I.S. Leader (2025), and my forthcoming book, Leadership as SHAPER: The Future of Human–AI Organizations (Business Expert Press, 2026) suggests that the organizations that will thrive are those that deliberately develop leaders who can harness both human ingenuity and machine intelligence.

Leadership Competencies for Human-AI Collaborative Organizations

The traditional leadership playbook was designed for relatively stable environments. Today’s leaders operate in a world characterized by volatility, uncertainty, complexity, ambiguity, and disruption (VUCAD).

In Human-AI Collaborative Organizations, six leadership competencies will become increasingly critical. These form the foundation of the SHAPER AI Leadership Model:

• Strategic Foresight: Leaders must anticipate technological, geopolitical, demographic, and societal shifts before they become disruptive realities.
• Harness Human-AI Collaboration: Executives must learn to work effectively alongside AI systems, understanding where human judgment adds unique value and where AI can augment decision-making.
• Architect Adaptive Organizations: Future-ready leaders must design organizations that are agile, networked, and capable of continuous learning.
• Protect Trust Through Ethical AI Governance: Trust will become a defining leadership currency. Leaders must ensure AI systems are transparent, fair, accountable, and aligned with organizational values.
• Execute Transformation with Agility: The ability to lead large-scale transformation initiatives while maintaining organizational alignment will differentiate successful leaders.
• Renew Leadership Capability Continuously: Leadership can no longer be viewed as a destination. It is a continuous process of learning, unlearning, and relearning.

These competencies reflect a fundamental truth, AI will not replace leaders. However, leaders who effectively leverage AI will significantly outperform those who do not.

The organizations that will lead in the next decade will not necessarily be those with the most advanced AI technologies they will be those with the most adaptable leaders.

As MIT economist Erik Brynjolfsson has observed, the greatest value of AI lies not in automation alone, but in augmentation the ability to amplify human capabilities. The future belongs to leaders who can orchestrate this partnership effectively.

Rethinking Executive Education for the AI Era

Executive education faces a significant challenge. Many leadership development programs still emphasize competencies designed for the late twentieth century, while organizations confront twenty-first-century realities.

Universities and executive education institutions must fundamentally rethink their curricula in five key ways:

• AI literacy should become a core leadership capability rather than a technical specialization. Every executive must understand AI’s strategic implications.
• Leadership education should become multidisciplinary, integrating business strategy, ethics, technology, behavioral science, and organizational psychology.
• Experiential learning must take precedence over purely theoretical approaches through simulations, scenario planning, executive coaching, and real-world application.

Institutions should prioritize cognitive readiness. The ELEVATE Cognitive Readiness Framework highlights seven essential dimensions: executive presence, learning agility, emotional intelligence, visionary thinking, adaptability, technological fluency, and ethical decision-making.

Leadership development should shift from episodic interventions to continuous capability building. The half-life of leadership knowledge is shrinking rapidly.

According to the World Economic Forum’s Future of Jobs Report 2025, approximately 39% of core skills are expected to change by 2030. Leadership development systems must evolve from static programs into dynamic learning ecosystems.

Resilient and Ethical Leadership in an Age of Disruption

The defining characteristic of modern leadership is not certainty it is resilience. In The Making of a C.R.I.S.I.S. Leader (2025), I argue that resilient leaders demonstrate calmness under pressure, adaptability, strategic clarity, empathy, and a strong commitment to ethical decision-making.

In the AI era, resilient leadership requires balancing seemingly contradictory demands: driving innovation while managing risk, leveraging AI while preserving human dignity, moving quickly while maintaining ethical safeguards, and delivering short-term performance while building long-term sustainability.

Ethical leadership remains equally vital. AI systems inherit the biases and values of their creators. Leaders must therefore ask difficult questions: Is our AI fair and transparent? Are we protecting privacy? Who remains accountable when AI-assisted decisions fail?

The Board’s Responsibility for AI Governance

AI governance cannot be delegated solely to the technology function. It is a board-level responsibility. Boards must establish clear governance frameworks, ensure strategic alignment, oversee AI-related risks, and promote continuous education on emerging technologies.

Organizations should consider forming an AI Governance Council and adopting guiding principles for responsible AI transparency, fairness, accountability, privacy, security, and human oversight.

Preparing the Leadership Pipeline

The future of leadership is already here. The only question is whether organizations are  preparing their next generation of leaders accordingly. 
Organizations can begin by taking five practical steps. 

• Conduct a Leadership Readiness Assessment: Evaluate existing leadership capabilities against future requirements. Identify gaps in AI  literacy, strategic thinking, adaptability, and ethical leadership. 
• Develop Human-AI Collaboration Skills: Provide leaders with opportunities to work directly with AI tools and technologies.  Familiarity reduces resistance and builds confidence. 
• Invest in Continuous Learning: Leadership development should become an ongoing process supported by coaching,  mentoring, peer learning, and digital learning platforms. 
• Embed Ethical AI Governance: Responsible AI practices should be incorporated into leadership competency frameworks,  performance metrics, and succession planning processes. 
• Build a Culture of Experimentation: Organizations that encourage curiosity, innovation, and intelligent risk-taking will be better  positioned to adapt to future disruptions.

At the Disruptive Leadership Institute (DLI), we guide this journey through our ‘Break. Build. Boldly Transform’.

• Break outdated assumptions and legacy leadership mindsets.
• Build future-ready capabilities and adaptive organizations.
• Boldly Transform leadership, culture, and business models for sustained success.

The organizations that will lead in the next decade will not necessarily be those with the most advanced AI technologies. They will be those with the most adaptable leaders.

Also Read: AI Literacy Gap: Why Asia's Classrooms Race to Catch Up with Tech

Looking Ahead!

Leadership has always been about preparing people for a future they cannot yet see. In the age of AI, that responsibility has never been more important.

Human-AI collaboration is not the end of leadership. It is the beginning of a new leadership contract one that requires greater foresight, deeper humanity, stronger ethics, and an unwavering commitment to continuous learning.

The future will not belong to humans or machines alone.

It will belong to those who learn to lead both.