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Adopting AI with Hendrik van Zwol: Turning fear into creativity

By
Carla Hetherington
Published on
September 23, 2025
Updated on
September 23, 2025
IN CONVERSATION WITH

Hendrik van Zwol

AI trainer and speaker

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As AI adoption sweeps across industries, most headlines fall into one of two camps: breathless optimism or existential dread. But somewhere between the hype and the horror lies a more practical, hopeful space, one that Hendrik van Zwol is helping people step into. Known as the “AI Magician”, Hendrik is an AI trainer and speaker who works with teams across sectors to turn fear into curiosity, and complexity into creativity. His mission? Demystify AI, put it into people’s hands, and help them unlock its full potential ethically, playfully, and powerfully. This blog explores the most insightful takeaways from our conversation with Hendrik: how to adopt AI through experimentation, why creativity and human judgment are more essential than ever, and how to treat AI not as a black box, but a collaborator with quirks.

How to introduce AI in your company: Start with experimentation, not strategy

Before you draft a roadmap or host a strategy session, Hendrik van Zwol suggests a different first step: let people play.

People think they need to understand AI before they can use it. But you don’t read the manual before using Google. You just use it; and learn as you go.”

Most companies rush to write AI policies before letting people explore. Hendrik van Zwol flips that logic. From his perspective, culture drives adoption, and policy can come later as the strategy won’t matter if people aren’t curious or comfortable.

The various workshops Hendrik runs aren’t lectures. They’re sandboxes. People tinker with prompts, remix copy, generate images, and laugh when it goes wrong. This freedom breaks down the fear barrier and gets people thinking creatively. He explains that AI isn’t magic. But when people try it without pressure, they experience a kind of magic: the thrill of possibility.

Why humans still matter in the age of AI

We tend to talk about AI as either a savior or a threat. But Hendrik reframes the relationship in more grounded terms:

Treat AI like a brilliant, fast-working intern. It helps with the heavy lifting, but it still needs your guidance.”

This mindset encourages ownership and reduces reliance. The AI can offer inspiration, rewording, suggestions, but you, the human, make the final call. This is where trust is built and true collaboration begins.

According to a 2023 report by McKinsey, companies that combined AI systems with human judgment saw up to 40% higher efficiency gains than those relying solely on automation. The reason? AI is excellent at pattern recognition, repetition, and speed. But only humans bring ethical reasoning, emotional intelligence, and contextual understanding to the table. The real power lies in the blend; where humans define the “why,” and AI helps with the “how.”

Additionally, the World Economic Forum’s 2025 Future of Jobs report predicts that while AI will automate 85 million jobs, it will create 97 million new ones. These new roles prioritize uniquely human skills: emotional intelligence, ethical decision-making, creative thinking, and cross-disciplinary leadership. In short, AI doesn’t reduce the need for people; it raises the bar for what only people can do.

AI and creativity: How to get better results through conversation, not commands

Many worry that AI will dilute originality or homogenize ideas. Hendrik sees the opposite. In his view, AI isn’t replacing creativity; it’s remixing it. It shows you new angles, perspectives you hadn’t thought of. As such, Hendrik encourages people to think of AI as a springboard, not a script. By prompting AI with variations, tones, or constraints, users often end up with sharper, more diverse results. It’s not about hitting ‘generate’; it’s about asking better questions:

Don’t just command AI. Converse with it. Ask: What am I missing? What’s another way to frame this? That’s where the gold is.”

This is backed by a Stanford University study in 2024, which highlighted that users who approached AI tools interactively through iterative back-and-forth prompting, produced significantly more creative and accurate outputs than those who submitted single one-shot commands. Treating AI like a conversation partner rather than a tool boosts engagement, learning, and results.

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AI prompt engineering best practices

One of the key skills in working with AI is prompting well. The best results come from prompts that are clear, specific, and iterative. Hendrik points out that most people treat AI like a vending machine. But it’s more like a collaborator who needs context and feedback. As such, teams who get the most out of AI are those who approach AI like a colleague in a brainstorm: you don’t give it the final task; you collaborate on shaping it together.

According to AWS's Prompt Engineering Guidelines, effective prompting hinges on four pillars: clarity, structure, context, and iteration. Start with detailed, plain-language instructions. Break the task into steps. Give examples. Then refine. This “collaborative prompting” mindset isn’t just more effective; it’s essential when applying AI in critical or creative tasks.

How to start using AI at work: Focus on boring tasks, not big ideas

If you’re wondering where to begin with AI, Hendrik offers a refreshingly simple answer:

Start with a 15-minute task you do every day that bores you to death.”

Whether it’s rewriting meeting notes, summarizing long emails, or organizing a weekly agenda; these are perfect entry points. The payoff is immediate, and confidence builds fast. This mentality fosters a ripple effect. People talk. They share. They experiment. And suddenly, you’ve got a bottom-up AI adoption wave.

Incidentally, 2023 Deloitte survey found that 62% of successful AI implementations began with small, repetitive tasks: email triage, report generation, or content summarization. These micro-wins build momentum and showcase value fast, making them ideal starting points for broader AI adoption.

From exploration to empowerment

The real promise of AI isn’t automation; it’s augmentation. It’s not about replacing people, but freeing them to do more of what only people can do. When organizations shift their mindset from fear to experimentation, when they treat AI as a teammate, not a tool, they unlock something far more powerful than just productivity.

As AI improves, the real differentiators will be the most human qualities: empathy, storytelling, vision, and adaptability. Essentially, the better the AI gets at doing, the more valuable it becomes to be the one asking why. That means AI won’t eliminate jobs; it will simply shift the value of them. The future belongs to people who can lead, adapt, and co-create.

Hendrik van Zwol advocates for grassroots experimentation: let teams try, fail, share, and learn. Only then does the real organizational momentum begin. So, don’t wait for perfect understanding or a top-down policy. Start where it makes sense. Start with a task you hate. Start by playing. And from there, build a culture where people feel empowered to explore. Because when AI meets imagination, the possibilities multiply.

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