Executive Leadership for AI Adoption

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As organizations move beyond AI adoption into more autonomous, decision-making AI systems (Agentic AI), executives and business leaders must develop the skills to govern, strategize, and lead AI-driven enterprises effectively. This next-step training builds upon foundational AI leadership knowledge, focusing on Agentic AI’s strategic potential, governance challenges, and practical applications. Leaders will learn how to leverage autonomous AI agents for business innovation, operational efficiency, and workforce augmentation while ensuring ethical and accountable AI-driven decision-making.

This course is not focused on technical AI development, but rather on executive leadership strategies for AI adoption, making it highly relevant for leaders who need to guide their organizations through AI-driven change while addressing employee fears, ethical concerns, and long-term sustainability.

This structured approach ensures both strategic leadership development and practical AI adoption techniques, empowering executives to confidently lead AI transformation while addressing workforce concerns.

Equip executives with a foundational understanding of AI and its business implications.
Develop leadership skills to manage AI-driven transformation.
Address fear-based resistance (FOMO & FOMU) to AI adoption.
Create a culture of innovation, trust, and ethical AI leadership.

Day 1: AI Foundations & Leadership Transition (4-6 Hours)

Session 1: Understanding AI – Executive Essentials (90-120 minutes)

Objective: Build a foundational understanding of AI technology, its business potential, and the executive’s role.
Key Topics:

What is AI? Demystifying AI, Machine Learning & Automation.
AI in Business: Real-world use cases and impact.
Executive Accountability: Vision setting, aligning AI strategy with business goals.
Activities:
- Executive case study discussion.
- Group reflection on AI adoption readiness in participants' organizations.
- Outcome: Leaders gain clarity on AI’s role and their responsibilities in its adoption.

Session 2: Transitioning into an AI-Ready Leader (90-120 minutes)

Objective: Help executives shift into AI-focused leadership roles.
Key Topics:

Mindset Shift: Data-driven leadership vs. traditional leadership.
Strategic AI Vision: Human capital management & AI integration.
Emotional Intelligence in AI Leadership: Addressing employee fears and emotional responses.
Activities:
- One-on-one coaching session simulation.
- Group discussion on AI ethics and organizational culture.
- Outcome: Executives transition into adaptive leaders, balancing AI adoption with human-centric leadership.

Session 3: Fear & Resistance to AI – FOMO & FOMU (90-120 minutes)

Objective: Address fears that hinder AI adoption.
Key Topics:

Understanding FOMO (Fear of Missing Out) and FOMU (Fear of Messing Up).
Fear-Based Leadership Challenges: Identifying fear-driven behaviors in teams.
Reframing Fear into Opportunity: Changing mindsets from fear to curiosity.
Activities:
- Fear Mapping Workshop: Identifying personal & organizational fears.
- "What Went Right?" Case Study Review: Learning from AI implementation failures.
- Outcome: Executives develop strategies to mitigate fear-driven resistance and create a supportive AI adoption environment.

Day 2: Workforce Adoption, Culture & Ethics (4-6 Hours)

Session 4: Leading Workforce Through AI Adoption (90-120 minutes)

Objective: Equip executives to manage workforce resistance and build trust in AI.
Key Topics:

Understanding Resistance: Job fears, lack of skills, mistrust of AI.
Communication Strategies: Transparency, empathy, and setting clear expectations.
Building Trust in AI: AI as an augmentation, not a replacement.
Upskilling & Reskilling: Creating learning opportunities for employees.
Activities:
- Leadership role-playing: Handling AI-related employee concerns.
- Development of upskilling/reskilling strategies.
- Outcome: Executives can lead AI adoption with transparency, empathy, and structured employee engagement.

Session 5: Creating a Culture of AI Innovation (90-120 minutes)

Objective: Foster a company culture that embraces AI-driven transformation.
Key Topics:

Encouraging curiosity and experimentation with AI.
Cross-functional AI collaboration for business innovation.
Recognizing and celebrating AI adoption successes.
Activities:
- AI Innovation Lab: Hands-on team exercises with AI tools.
- Cross-department problem-solving sessions.
- Outcome: Leaders build an AI-positive culture that supports continuous learning and innovation.

Session 6: Ethical AI Leadership & Long-Term Support (90-120 minutes)

Objective: Ensure responsible and ethical AI implementation.
Key Topics:

AI Ethics 101: Addressing bias, fairness, and data privacy.
Accountability in AI Decision-Making: Transparency and governance.
Regulatory Compliance: Understanding AI-related policies and laws.
Long-Term Executive Support: Ongoing coaching & peer learning networks.
Activities:
- Ethical AI case study discussion.
- Scenario planning for ethical AI decision-making.
- Outcome: Executives become responsible stewards of ethical AI and sustain AI adoption with ongoing support.

This course is designed for senior executives, business leaders, and decision-makers who are responsible for driving AI adoption within their organizations. It is ideal for those who need to balance strategic leadership, workforce concerns, and ethical AI implementation while ensuring business success.

Specifically, this course is best suited for:

CEOs, CIOs, CTOs, and other C-suite executives looking to integrate AI into their corporate vision and strategy.
Business Unit Leaders & Directors responsible for implementing AI-driven initiatives and managing cross-functional teams.
HR & Talent Development Leaders guiding AI-related workforce transformation, upskilling, and reskilling efforts.
Change Management & Digital Transformation Leaders who play a key role in navigating AI adoption challenges.
Innovation & Strategy Officers seeking to create an AI-positive culture and foster data-driven decision-making.

None.

6 to 8 hours in 1 intensive day or over 2 half-days.

Full Price: $0.00
Early Bird Price: $0.00

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