The Impact of GenAI on Human Creativity

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A brain in a box. By: Midjourney

Our work should never be just about our tools. It’s about the thinking behind them. Much of the GenAI debate has focused on whether and how well the tool “works” and what or who it can or can’t replace. But recently, I’ve been thinking more about its impact on how we think. And I suspect this question will only become more important as AI works better — or at least seems to.

Technology revolutions are always a double-edged sword. They bring leaps forward but come at a price. Our foundational myths make this clear: Prometheus gave humanity fire, but his punishment was eternal suffering. Pandora got all of the gods’ gifts and a box that unleashed chaos on the world. The forbidden fruit gave Adam and Eve knowledge — but at the cost of innocence and paradise lost. The lesson is old: power and progress always have trade-offs.

The tools that shape us

One of the core reasons for this dynamic is simple: we shape our tools, and in return, they shape us. Often in unexpected ways. Media theorist Marshall McLuhan famously explored this idea, though the oft-cited quote “We shape our tools, and thereafter our tools shape us” was actually a later paraphrase of his work. The idea, however, holds — every major technological shift alters not just how we work, but how we think.

This reminds me of a favourite quote (edited for brevity) from Neil Postman, who in Amusing Ourselves to Death (1985), argued:

“Tools hint at a form of thinking. Nature doesn’t speak, we talk about it, in any way we can. We see only our discourse about the world, this is our means of communication, the means are our metaphors and our metaphors create the content of our culture.”

When I first read Postman in my 20s, while deeply in love with the emerging web, I wondered what he’d say about the Internet, and found him fascinating but a bit of an alarmist. I was wrong. While he was warning about the impact of television (as form, not content), many of his fears proved accurate and apply to our world today: politics became entertainment, news became infotainment, and serious discourse struggled to survive in an attention economy.

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Mind the drift: NotebookLM, WhatsApp chats, and the illusion of understanding

Generated by Midjourney 5

About a week ago, I experienced the most incredible AI demo since my first encounter with ChatGPT. Trust me, this is no exaggeration.

This post isn’t just about a cool tool; it also touches upon a crucial, unresolved issue in the world of Generative AI: handling those massive, complex data sets that are key to unlocking deeper value in many business and research areas.

Enter NotebookLM

I recently had a strategy brainstorming session with Angus Grundy (Angus is developing highly effective strategic frameworks; reach out to him if you’re looking to strategise/plan or think things through in any business or personal context. Insights guaranteed.). We recorded our 90-minute chat using Zoom’s AI assistant. Later, Angus used that transcript with Google’s experimental tool, NotebookLM.

On some levels, NotebookLM is a game-changer. You can upload extensive data sets (up to 50 files of 500,000 words each. That’s nearly 50 War and Peaces!) and interact with a chatbot in elaborate ways. You can ask highly specific questions and generate timelines, study guides, FAQs… all cross-referenced to your sources. You can then create notes from the chat results or add your own, shift focus between sources, manipulate it all, and more. You can even create, at the push of a button, an “audio overview,” where two AIs create a podcast-like discussion about the content. It’s as strange as it is delightful. But is it actually useful?

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