Explore how AI can act as a powerful thinking partner in career development—even when you have no data to feed it. You’ll learn the fundamentals of AI interaction, the mindset shift required, and real examples of using AI for reflection, ideation, and motivation. We'll cover the limits of AI, where it shines, and where it needs your judgment. Expect to try your first career prompt and discover how even generic AI advice can spark meaningful insights.

Learn how to craft effective, personalized prompts to help AI support your career thinking. You’ll experiment with different types of questions—exploratory, reflective, strategic—and see how prompt quality shapes AI output. We’ll practice using prompts for identifying strengths, exploring career paths, and clarifying aspirations. This module includes a mini “Prompt Lab” to test and refine your approach for better results.

This module explores how AI becomes significantly more helpful when you share structured context. You’ll learn how to safely provide narrative and quantitative data—like resumes, assessments, and career goals—to personalize AI guidance. We’ll walk through examples of combining human insight with AI reflection, and practice creating “data-enhanced” prompts. You’ll also discuss data privacy, ethics, and tips for getting rich insights while protecting confidentiality.

Explore how to use AI in coaching-like interactions for yourself or others. You’ll learn how to facilitate reflective conversations, analyze AI-generated narratives, and support action planning. We’ll also discuss ethical boundaries—what AI can and can’t replace—and how to blend AI with emotional intelligence and human connection. You’ll see how AI can surface hidden blockers, offer encouragement, and even spark creativity when used with care and clarity.

This session focuses on organizational implementation. You’ll explore how HR and learning leaders can use AI to scale personalized development—matching people to roles, surfacing hidden potential, and offering real-time, data-informed support. We’ll discuss what’s already possible, what’s coming next, and what makes it work (hint: quality data and upskilled people). You’ll leave with use cases, implementation ideas, and a vision of what AI-powered career development can look like at scale.