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This is a Experimental Study study.

October 17, 2025Management ScienceOpen Access

Roles of Artificial Intelligence in Collaboration with Humans: Automation, Augmentation, and the Future of Work

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Analytical model captured the impact of automation and augmentation in human-AI collaboration, implying new job designs.

Automation increases with higher levels of between-task complementarity, while augmentation is favored with within-task complementarity.
The framework demonstrates optimal task allocation strategies across varying human-AI work configurations based on empirical evidence.
Integration of automation and augmentation roles highlights their distinct contributions to enhancing organizational performance.
Consideration of human resource reallocation is essential for optimizing performance within the evolving landscape of work.

Fügener et al. (2025) studied this question.

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