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# Never-skilling: the research says juniors using AI never learn to debug

**[The Next Web](https://daily.dev/sources/tnw)** · 4 min read · 1 upvotes · 0 comments

## Summary

A randomised controlled trial by Anthropic researchers found that junior developers using an AI assistant scored 50% on a comprehension quiz about code they had just written, compared to 67% for those coding by hand — nearly two letter grades apart. The speed advantage of AI did not materialise either. The study introduces the concept of 'never-skilling': novices who rely on AI during formative learning never build foundational skills, particularly debugging. A parallel Nature Medicine paper extends the concept to medical trainees and adds 'mis-skilling' — accepting AI errors as fact. The research suggests how AI is used matters more than whether it is used: high scorers asked conceptual questions, while low scorers delegated wholesale. Gartner predicts half of global organisations will require AI-free skills assessments by 2026, and Ford has already rehired engineers to fix AI-generated errors.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenextweb.com/news/ai-never-skilling-critical-thinking-research>

## Questions this post answers

### Does using an AI coding assistant hurt how much junior developers actually learn?

Yes, according to a randomised controlled trial by Anthropic researchers. Fifty-two mostly junior engineers learned the Python library Trio, half with an AI assistant and half without. The AI group scored 50% on a quiz about the code they had just written versus 67% for the hand-coding group, a statistically significant gap Anthropic compares to nearly two letter grades, with the widest gap in debugging.

_Anyone weighing how much to lean on AI while learning a new stack can track findings like this on daily.dev._

### Did using an AI assistant at least make junior developers finish coding tasks faster?

Not meaningfully. In Anthropic's trial, the AI-assisted group finished only about two minutes faster than those coding by hand, a difference too small to be statistically significant. Some participants spent up to 11 minutes composing queries to the assistant, roughly a third of their allotted time, eating into the speed advantage the tool was supposed to provide.

_Developers deciding whether an assistant actually saves time can follow studies like this via daily.dev._

### What is 'mis-skilling' as distinct from deskilling or never-skilling?

Mis-skilling is when a trainee accepts an AI-generated error uncritically and files it away as fact, building false knowledge rather than none at all. It was coined alongside never-skilling (novices who never build core skills because AI removes the errors that teach them) in a Nature Medicine Perspective led by Duke-NUS Medical School with Harvard, UCL, and King's College London co-authors.

_Teams building AI-assisted onboarding for new hires can keep track of terms like this on daily.dev._

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---

Tags: [#ai-coding](https://daily.dev/tags/ai-coding), [#anthropic](https://daily.dev/tags/anthropic)

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