There’s a paradox worth exploring: Gen Z, the generation that grew up scrolling TikTok and thinking in memes and X threads, is not the one most likely to embrace AI without reservation. Quite the opposite. According to recent research published by The Verge, young people between the ages of 18 and 27 display what can only be described as a utilitarian attitude toward artificial intelligence: they use it, but they don’t trust it blindly.
The most interesting finding isn’t how many of them use it, but how. Gen Z tends to deploy AI for specific, well-defined tasks, drafting copy, running quick searches, organising ideas, while maintaining a level of control and verification that older generations often skip. For them, AI is an accelerator. Not an oracle.
Healthy scepticism, not resistance to change
Having grown up in the era of viral misinformation, today’s young people have developed a natural digital hygiene: instinctive fact-checking, attention to sources, an awareness that every technology carries its own bias. This doesn’t make them Luddites, it makes them better-equipped users. The same report shows that Gen Z is far more likely to ask “who trained this model?” or “what data is this answer based on?” than someone who discovered ChatGPT at 45 with the wide-eyed enthusiasm of a convert.
This approach resonates deeply with the philosophy we at Keyformat call Augmented Humanity: technology amplifies human capabilities, it doesn’t replace them. AI isn’t the autopilot, it’s the co-pilot. And Gen Z, perhaps without even realising it, has already figured that out.
The silent risk: when we outsource too much thinking
There is, however, a phenomenon that researchers have begun monitoring with growing concern, one that affects heavy AI users in particular: cognitive offloading. The term describes the tendency to delegate to external tools, digital or physical, cognitive processes we could otherwise handle ourselves. Writing things down so we don’t have to remember them, using GPS instead of finding our way, asking ChatGPT instead of reasoning through a problem.
A recent study published in Computers in Human Behavior Reports found that intensive use of AI tools can progressively reduce the inclination toward independent critical thinking. Not because AI “makes people dumb”, that narrative is as widespread as it is wrong, but because every time we outsource a thought process, we exercise that mental muscle a little less. And muscles that go untrained atrophy.
“Individuals with higher AI reliance show a measurable reduction in willingness to engage in deep cognitive processing, preferring to defer to the tool even in contexts where independent reasoning would be more effective.” – Computers in Human Behavior Reports, 2025
The paradox is subtle: the better AI gets, the easier it becomes to stop thinking altogether. And Gen Z, a generation that has used these tools intensively since adolescence, may be the most exposed to this drift. Their instinctive scepticism, in this sense, could be an unconscious form of cognitive self-preservation.
What this means for brands
For anyone working in digital communication, there are two practical lessons to absorb immediately. First: if your audience is under 30, the “AI = magic” narrative simply doesn’t land. What does work is transparency, being upfront about how and where AI is used, showing the human work behind the process, building trust without hiding behind automation.
The second lesson is subtler, and it applies to creative teams themselves: cognitive offloading is a trap for content producers too. Using AI to generate ideas, copy, and visuals without applying critical judgment to the output isn’t efficiency, it’s delegation. And unchecked delegation produces content that all sounds the same, because it comes from the same models trained on the same data.
Brands communicating with Gen Z are dealing with an audience that, in all likelihood, uses the same AI tools you use to produce your content. And they can tell. Copy written entirely by an LLM with no human editing? They feel it. An AI-generated image dropped in without context? They see it.
Where this all leads
In an increasingly AI-saturated content landscape, authenticity becomes a concrete competitive advantage, not in any romantic sense, but in a purely practical one. Content that expresses a genuine human perspective, takes a clear stance, acknowledges uncertainty, and has a recognisable voice. Things a language model, on its own, struggles to convincingly simulate. Gen Z isn’t the enemy of AI, and cognitive offloading isn’t a death sentence. They’re signals pointing us toward the real challenge: building a relationship with these tools that keeps human thinking, critical, creative, and responsible, at the centre. Not because it’s a noble ideal, but because it’s the only way to produce something worth reading, watching, and sharing. Which is exactly where we always wanted to be.
