Storytelling in the age of AI is not about choosing between human judgment and machine speed. It is about using AI to sharpen thinking while keeping people, context, and conviction at the centre. Storytelling isn't just instinct, it's a skill you can build. The most effective storytelling still sits at the intersection of the story itself, the storyteller, and the delivery. I'll break down each part of my framework below: a path for you to take what serves you, leave what doesn't, and develop your own voice rather than borrow someone else's.
Creativity doesn’t start with a blank page, it starts with purposeful constraints. One of my mentors taught me that when creativity feels challenging, find where you can limit yourself first.
Be clear about what a story needs to accomplish before thinking about how you should tell it. This is the part most people want to skip, but it’s the part that makes everything else work.
This step is about building the foundation. Without it, even a compelling story can miss.
At this stage, AI acts as a thinking partner, not a storyteller.
AI helps sharpen your thinking, but you still have to decide what matters.
That distinction is the point. AI can help surface patterns, risks, and alternative angles, but it cannot judge political nuance, emotional stakes, or organisational timing in the way a person can. Use it to widen the field, then use your judgment to choose the story.
Define how you show up in the story.
Storytelling isn’t just about the message, it’s about the messenger. The same story can land completely differently depending on how it’s delivered and whether it feels real. People can tell the difference. In an AI-heavy world, when more content can be produced quickly, people look harder for signals of judgment, relevance and conviction. The goal isn’t to insert yourself unnecessarily. It’s to intentionally anchor the story in a point of view that is both authentic and relevant.
When I was building a return-to-office campaign, I didn’t start with messaging. I started with my perspective. I believed some work is better done in person but only when it’s intentional and meaningful. That clarity shaped the story. It made the message feel real, not scripted, and that’s what made it resonate. Authenticity isn’t about saying more, it’s about saying what you actually believe, in a way that others can recognise as real.
The goal isn’t oversharing. It's being real enough that people see themselves in what you’re saying and to invest in you so they can invest in your message.
At this stage, AI helps you refine how you show up.
AI doesn’t define your voice, it helps you use it more intentionally.
If the output sounds polished but could have been written by anyone, you have lost the part that makes the story believable. AI should help you hear your own patterns more clearly, not flatten them into something generic.
Once you’re clear on the story and grounded in your voice, the final step is execution.
This is where intention turns into experience.
Great storytelling isn’t just understood, it's felt, remembered, and acted on.
In practice, this means designing differently for different audiences. Leaders may need clarity and brevity. Managers may need context and relatability. Broader audiences may need energy, simplicity, and a reason to care.
The strategy isn’t just in the words; it’s in the experience you create.
At this stage, AI acts as an amplifier.
AI can help strengthen delivery, but it can’t replace the intention behind it.