Adults Lose Skills to AI. Children Never Build Them.
➡️ tl;dr
Adults who offload cognitive tasks to AI risk atrophy of existing skills, while children may never develop these skills in the first place.
The impact of AI on adults and children differs significantly due to developmental stages; adults may experience recoverable skill weakening, whereas children face potential permanent cognitive foreclosure.
Auditing AI output requires expertise that children are still in the process of developing, making it difficult for them to critically evaluate AI-generated information.
A study showed developers who delegated coding to AI produced functional code but lacked conceptual understanding, highlighting a gap between output and comprehension.
Older adults (over 46) showed higher critical thinking scores with lower AI reliance, while younger adults (17-25) showed the inverse, suggesting a developmental difference in AI interaction.
AI interaction for adults is often task delegation, preserving judgment, whereas for young adults, it can be substitution, where AI makes micro-judgments the individual should be forming.
When students use the same AI models, they may develop similar thinking patterns, leading to homogenization of perspective and reasoning strategies.
The statistical biases and reasoning structures of AI models can become the default framing for children, impacting their foundational cognitive development.
Homogenization in student work, once seen as an assessment issue, is now viewed as a signal of a deeper problem where AI shapes developing minds.
Protecting the developmental space for children to build foundational thinking skills is crucial, as the consequences of AI substitution for them may be permanent.
https://www.psychologytoday.com/us/blog/…
