JOURNAL ARTICLE

Is GenAI's Impact on Productivity Overblown?

  • Published In: Harvard Business Review Digital Articles, 2024. P. 1 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Waber, Ben; Fast, Nathanael J. 3 of 3

Abstract

The article explores the impact of large language models (LLMs) on productivity in organizations. While LLMs have been praised for their potential to enhance productivity, recent studies suggest that they can also hinder it. The article advises organizations to approach the adoption of LLMs cautiously, considering their potential to generate false information and their potential negative effects on employees and internal processes. It also discusses the challenges of retrieving accurate information with LLMs and the need for continuous monitoring and robust processes to address accuracy issues. The article further highlights concerns about the reproduction of top performers' behavior, model collapse, reinforcement of biases, and potential negative effects on productivity and trust in interpersonal communication. The authors recommend a careful and targeted approach to using LLMs. [Extracted from the article]

Additional Information

  • Source:Harvard Business Review Digital Articles. 2024/01, p1
  • Document Type:Article
  • Subject Area:Communication and Mass Media
  • Publication Date:2024
  • Accession Number:174831916
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