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January 1, 2021Academy of Management ReviewOpen Access

Artificial Intelligence and Management: The Automation–Augmentation Paradox

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Authors

SRSebastian RaischSKSebastian Krakowski

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Overview

Theoretical analysis reveals interdependent tensions between AI automation and augmentation in organizations, highlighting the need to balance both strategies for optimal performance.

Key Points

  • To examine the interplay between automation and augmentation in management AI applications using a paradox theory perspective.
  • Critically evaluated normative arguments from three contemporary business books that advocate prioritizing augmentation over automation.
  • Applied paradox theory to examine the spatial and temporal interdependencies between human-replacing automation and human-assisting augmentation.
  • Augmentation and automation cannot be treated as mutually exclusive managerial choices because tasks and technologies remain deeply interdependent over time.
  • Overemphasizing either automation or augmentation triggers negative reinforcing cycles that harm organizational performance and societal welfare.
  • Managing the tension through an integrated perspective allows organizations to capture complementary benefits from both automation and augmentation.

Cite This Study

Raisch et al. (2021) studied this question.

synapsesocial.com/papers/69431674455048d4fc6cd658https://doi.org/10.5465/amr.2018.0072
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Also Consider

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