The Future of Work: Automation, AI, and the Evolving Landscape of Workforce Skills and Strategies

Authors

  • Prof. Daniel Kim Sloan School of Management, Massachusetts Institute of Technology (MIT) Author
  • Prof. Jonathan Davis Fisher College of Business, Ohio State University Author

Keywords:

Human-Machine Collaboration, Adaptability, Up skilling, Reskilling, Workforce Skills, Future of Work, Artificial Intelligence, Automation

Abstract

The rise of automation and artificial intelligence (AI) is rapidly transforming the landscape of work, prompting questions about the future of human employment and the skills needed to thrive in this evolving environment. This article examines the potential impact of automation and AI on job displacement and creation, explores the emerging skillsets required for success in the new work paradigm, and proposes strategies for individuals, organizations, and policymakers to navigate this dynamic transition.

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Published

2023-06-30

Issue

Vol. 1 No. 01 (2023): Research Studies of Business (RSB)

Section

Articles