Teaching Hong Kong Jockey Club's Future Leaders to Think in Prompts
In April, I had the opportunity to train Hong Kong Jockey Club's Management Trainees on AI business communication. HKJC isn't just one of Hong Kong's oldest charities - their MT Programme systematically cultivates future leaders with cross-departmental strategic thinking. When they decided to integrate AI into this pipeline, the stakes were different from a typical corporate workshop.
These weren't mid-career professionals looking to automate tasks. They were emerging leaders who needed to understand AI as a communication tool - not just for efficiency, but for impact.
The Challenge: Beyond Tool Tutorials
The brief was clear: teach AI-assisted business writing. But I'd learned from previous engagements that showing features doesn't change behavior. What transforms how people work is shifting how they think about the tool.
For management trainees destined for leadership roles, the question wasn't "how do I use ChatGPT?" It was "how do I design communications that drive action?"
I built a two-day curriculum around what I called "Text-to-Impact" - a framework that treats AI not as a writing assistant, but as a thinking partner for business communication.
The Three-Layer Prompt Training
Instead of teaching prompts as recipes to copy, I structured the training around three progressive layers of capability:
Layer 1: Precision - How AI interprets your input. We focused on understanding how generative models parse punctuation, numbers, and sentence structure. This layer is about asking clearer questions - a skill that transfers beyond AI to all professional communication.
Layer 2: Structure - How to translate information needs into output frameworks. This is where participants learned to specify formats, define scope, and guide AI toward actionable responses rather than generic text.
Layer 3: Context - Role simulation and audience awareness. The final layer trained participants to adjust tone, adapt to different stakeholders, and maintain brand consistency across communications.
The tools we used - Microsoft Copilot for stability, ChatGPT for depth, Perplexity for research integration - were secondary to this underlying structure. Tools change. The thinking framework doesn't.
What Worked: Design Thinking Over Features
The breakthrough moment came when I stopped calling it "AI training" and started framing it as "communication design."
Once participants understood that every prompt is essentially a design decision - what to include, what to omit, what format best serves the reader - engagement shifted. They weren't learning a new tool. They were refining a skill they already had.
I used interactive whiteboards and step-by-step prompt exercises to keep the technical barrier low. The focus stayed on decision-making: Why this format? Why this level of detail? What does your reader actually need?
The Unexpected Insight
One participant's feedback captured something I hadn't explicitly intended:
"AI chatbots are no longer just about text-to-text. They're about text-to-IMPACT."
That reframe - from text generation to impact creation - became the throughline for both days. It shifted the conversation from "will AI write my emails?" to "how can AI help me communicate more strategically?"
By the end of the workshop, some participants had already started building their own prompt libraries for their departments. Others were adapting the three-layer structure for meeting summaries and project proposals. One team began exploring how to become the "AI champion" for their unit.
The Takeaway
Teaching AI to future leaders requires a different approach than teaching it to practitioners. The goal isn't task automation - it's building a new mode of strategic thinking.
Most feedback scores landed between 4 and 5 out of 5. But the metric I cared about was different: were they using the framework a week later? Were they teaching it to colleagues? The early signs suggested yes.
Prompt engineering will evolve. What remains is the underlying skill: thinking clearly about what you want to communicate, who needs to hear it, and how to structure information for action. AI just makes that thinking visible.
If you're building AI capabilities for emerging leaders in your organization, I'd be happy to share what I've learned. Connect with me on LinkedIn.
