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peer review

Review of: "[Commentary] Service Sector Work Under Pressure From New Technologies and Artificial Intelligence – Lessons From a Number of Foresight Studies"

Abstract

This commentary effectively highlights the under-discussed issue of new technologies' impact on service sector work.It argues that while automation's influence on manufacturing is well-recognized, its subtle infiltration into service industries is often overlooked.The key strength lies in differentiating between two types of technological influence.The first involves unnoticed changes to existing workflows, impacting working conditions.The second, exemplified by the rise of food delivery services, leads to a complete overhaul of work methods, potentially creating challenges for worker well-being.The commentary raises a crucial point: the potential amplification of these effects with the increasing use of artificial intelligence (AI).This foreshadows the need for proactive measures to ensure AI implementation prioritizes the well-being of service sector workers. Some potential areas for further exploration:Specifying the types of service sector jobs most susceptible to these changes. Providing concrete examples of how AI could impact service work, both positively and negatively. Offering suggestions for how businesses can introduce new technologies while safeguarding worker health and well-being.This commentary offers a valuable starting point for a broader discussion on the evolving landscape of service sector work in the face of rapid technological advancements.By prompting further exploration and proposing solutions, we can ensure a future where technological progress benefits both businesses and the workforce. Service Sector Jobs Impacted by Unnoticed Tech ChangesCustomer Service Representatives: Chatbots and virtual assistants are increasingly handling basic inquiries, freeing up human reps for more complex issues.

Research topics

  • Economic Development and Digital Transformation
  • Digital Transformation in Industry
  • Supply Chain Resilience and Risk Management

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DOI: 10.32388/wj1nsl

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