AI Assistance Reduces Persistence and Hurts Independent Performance
Grace Liu, Brian Christian, Tsvetomira Dumbalska, Michiel A. Bakker, Rachit Dubey

TL;DR
This study shows that AI assistance, while improving short-term performance, reduces persistence and hampers independent problem-solving, with effects evident after brief interactions.
Contribution
It provides causal evidence that AI assistance diminishes persistence and independent performance, highlighting a need to focus on long-term skill development in AI design.
Findings
AI assistance improves immediate task performance
AI assistance leads to worse performance without AI
Effects observed after approximately 10 minutes of interaction
Abstract
People often optimize for long-term goals in collaboration: A mentor or companion doesn't just answer questions, but also scaffolds learning, tracks progress, and prioritizes the other person's growth over immediate results. In contrast, current AI systems are fundamentally short-sighted collaborators - optimized for providing instant and complete responses, without ever saying no (unless for safety reasons). What are the consequences of this dynamic? Here, through a series of randomized controlled trials on human-AI interactions (N = 1,222), we provide causal evidence for two key consequences of AI assistance: reduced persistence and impairment of unassisted performance. Across a variety of tasks, including mathematical reasoning and reading comprehension, we find that although AI assistance improves performance in the short-term, people perform significantly worse without AI and are…
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