# How AI Impacts Skill Formation

**Authors:** Judy Hanwen Shen, Alex Tamkin  
**arXiv:** [2601.20245](https://arxiv.org/abs/2601.20245)  
**Date:** 2026-01-28  
**Summary page:** https://www.summarizepaper.com/en/arxiv-id/2601.20245v1/

## Key points

- Study by Judy Hanwen Shen and Alex Tamkin on impact of AI assistance on skill formation in professional domains
- Research focused on novice workers heavily relying on AI for tasks compromising skill acquisition
- Randomized experiments observed developers mastering asynchronous programming library with and without AI assistance
- AI use led to productivity gains but impaired conceptual understanding, code reading, and debugging abilities
- Fully delegating coding tasks to AI resulted in productivity improvements at the cost of learning the library effectively
- Six distinct AI interaction patterns identified, three involving cognitive engagement preserving learning outcomes
- Careful adoption of AI assistance recommended to preserve skill formation, especially in safety-critical domains

## Summary

A study conducted by Judy Hanwen Shen and Alex Tamkin explored the impact of AI assistance on skill formation in professional domains. The research focused on how novice workers who heavily rely on AI to complete tasks may compromise their own skill acquisition. Through randomized experiments, developers were observed as they gained mastery of a new asynchronous programming library with and without the assistance of AI. The findings revealed that while AI use led to significant productivity gains, it also impaired conceptual understanding, code reading, and debugging abilities among participants. Interestingly, the study showed that fully delegating coding tasks to AI resulted in some productivity improvements but came at the cost of learning the library effectively. Six distinct AI interaction patterns were identified, with three involving cognitive engagement that preserved learning outcomes even when participants received AI assistance. Overall, the research suggests that while AI-enhanced productivity can be beneficial, it is not a shortcut to competence. Careful adoption of AI assistance into workflows is recommended to ensure skill formation is preserved, especially in safety-critical domains. This study sheds light on the importance of balancing AI support with hands-on learning experiences for optimal skill development in professional settings.