You’re raising a really interesting (and honestly, important) observation. A few thoughts that might help frame what you’re noticing:
1.
- Apprentices and students who lean heavily on AI tools might not be practicing certain cognitive muscles — like synthesizing information, structuring arguments, or struggling through a hard problem.
- This isn’t new: calculators once sparked fears about kids losing math skills, and Google changed how we remember facts (we outsource memory to search engines). What’s different here is that AI can generate coherent language — so young people can skip not just the answer but the whole process of formulating ideas.
2.
- If you always offload communication to a tool, your own conversational muscles can atrophy.
- Some young people are showing up with a kind of AI cadence in speech — slightly stilted, overly formal, or oddly vague. This can come across as “flat” or “underdeveloped,” especially in workplace settings where tone and nuance matter.
- The “Gen Z stare” or emotional flatness might also reflect social media conditioning (passive scrolling, parasocial interactions) more than AI itself — but AI use could compound it.
3.
- Many 16–20-year-olds are incredibly sharp, socially agile, and good at using AI as an enhancer rather than a crutch.
- What you’re noticing might be a selection effect: the ones leaning hardest on AI may be those who already struggle with communication, critical thinking, or confidence.
4.
- Think of it like “calculator kids” vs. “mental math kids” back in the ’80s/’90s. Some adapt by integrating the tool wisely; others lean too heavily and lose baseline skills.
- In a few years, workplaces may expect AI literacy alongside traditional skills — meaning young people will need both the tool and the underlying thinking ability. Those who only have the tool may lag behind.
Takeaway:
AI itself isn’t dumbing kids down, but
over-reliance without skill-building might make them seem less developed in reasoning, communication, and social presence. What you’re probably seeing is the first wave of young people who grew up with generative AI as an everyday prosthetic — some are thriving with it, some are struggling, and workplaces are noticing.
Would you like me to share some
practical strategies for helping apprentices (or younger colleagues) use AI in a way that strengthens their own abilities, instead of weakening them? That might give you tools to address this "prompt zombie" effect when you encounter it.