The Developmental Bypass: How AI Assistance Undermines Human Growth

This study examines how AI writing assistance affects human development, revealing a fundamental paradox: while AI tools improve immediate output quality, they undermine the psychological processes through which writers grow. Drawing on self- determination theory, we conducted an experiment (N=206) comparing self-editing to varying levels of AI assistance. Results demonstrate that self-editing produced significantly greater gains in writer identity (M=0.88) compared to low (M=0.54) and high (M=0.43) AI contribution conditions. Self-efficacy gains showed even starker differences, with self-editing yielding meaningful growth (M=0.41) while AI conditions produced negligible gains (<0.10). Most surprisingly, domain expertise transformed from an asset in self-editing to a liability under AI assistance, as experts defensively disengaged to protect their threatened identity. These findings suggest AI creates a "developmental bypass"—eliminating the productive struggle necessary for growth. We discuss implications for designing AI systems that enhance rather than diminish human potential, arguing for preserving developmental experiences in human-AI collaboration.

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Publication Details

Journal
ScholarSpace (University of Hawaii at Manoa)
Published
2025-12-23
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
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article

The Developmental Bypass: How AI Assistance Undermines Human Growth

Dominik Siemon, Edona Elshan, Philipp Ebel, Triparna de Vreede et al.
ScholarSpace (University of Hawaii at Manoa)
Artificial Intelligence in Healthcare and Education
article

The Developmental Bypass: How AI Assistance Undermines Human Growth

Dominik Siemon, Edona Elshan, Philipp Ebel, Triparna de Vreede, Gj De Vreede
article en

Abstract

This study examines how AI writing assistance affects human development, revealing a fundamental paradox: while AI tools improve immediate output quality, they undermine the psychological processes through which writers grow. Drawing on self- determination theory, we conducted an experiment (N=206) comparing self-editing to varying levels of AI assistance. Results demonstrate that self-editing produced significantly greater gains in writer identity (M=0.88) compared to low (M=0.54) and high (M=0.43) AI contribution conditions. Self-efficacy gains showed even starker differences, with self-editing yielding meaningful growth (M=0.41) while AI conditions produced negligible gains (<0.10). Most surprisingly, domain expertise transformed from an asset in self-editing to a liability under AI assistance, as experts defensively disengaged to protect their threatened identity. These findings suggest AI creates a "developmental bypass"—eliminating the productive struggle necessary for growth. We discuss implications for designing AI systems that enhance rather than diminish human potential, arguing for preserving developmental experiences in human-AI collaboration.

ScholarSpace (University of Hawaii at Manoa)
Openalex Percentile: Top 39%
Artificial Intelligence in Healthcare and Education
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