Long-term cognitive and skill impacts of pervasive AI assistance

Ascertain the long-term effects of widespread AI assistance and integration of generative AI tools on human learning, skill acquisition, and retention across educational and professional settings, particularly in contexts where individuals offload complex cognitive tasks to AI.

Background

The discussion highlights concerns that pervasive AI support and automation bias may alter how people learn and make decisions, drawing analogies to documented effects of digital tools such as GPS on spatial knowledge acquisition. The paper emphasizes the importance of maintaining independence between human and AI judgments to mitigate potential deskilling.

Understanding long-term impacts requires longitudinal and domain-specific evaluation of how AI usage patterns influence expertise development, error detection, and cognitive resilience, given the increasing integration of AI into everyday and professional workflows.

References

While the long-term effects of this phenomenon remain unclear, there is a growing concern about deskilling and learning in the age of AI \citep{natali2025ai, choudhury2024large, lee2025impact}.

Beyond AI advice -- independent aggregation boosts human-AI accuracy  (2603.29866 - Berger et al., 31 Mar 2026) in Discussion