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AI and the future of industrial work: a framework for enhancing employee experience from satisfaction to flourishing

  • Anna Viljakainen*
  • , Juho Silmukari
  • , Virpi Roto
  • , Martina Čaić
  • , Susanna Aromaa
  • *Corresponding author for this work
  • Aalto University
  • Konecranes Oyj

Research output: Contribution to journalArticleScientificpeer-review

Abstract

This conceptual article explores the potential of artificial intelligence (AI) to enhance employee experience in future industrial work environments, with a particular emphasis on promoting employee well-being and work meaningfulness. Drawing upon established theories and schools of thought such as Motivation-Hygiene Theory, Human-Factors and Ergonomics, Self-Determination Theory, and Eudaimonia, the article introduces a three-level framework for AI integration aimed at improving employee satisfaction, engagement, and flourishing. At Level 1, AI assistants are employed to eliminate pain points in work tasks, thereby increasing employee satisfaction. At Level 2, the design focus expands beyond functional improvements to emotional engagement, with AI teammates fostering employees’ work motivation. Finally, at Level 3, AI coaches are introduced to support employees’ sense of purpose, self-worth, and personal growth, advancing toward human flourishing. This interdisciplinary framework shows how AI design can build on the foundations of ergonomics and expand its scope to engaging experiences and even to flourishing, the ultimate level of human well-being.

Original languageEnglish
Number of pages13
JournalBehaviour and Information Technology
DOIs
Publication statusE-pub ahead of print - 2025
MoE publication typeA1 Journal article-refereed

Funding

The authors report there are no competing interests to declare. This article originates from an on-going research project funded by Business Finland under project name ‘HiFive: Meaningful industrial work in hybrid human-technology-AI teams’, grant number 10514/31/2023. The funding body had no involvement in preparing the manuscript.

Keywords

  • Artificial Intelligence (AI)
  • Employee well-being
  • Human-AI interaction
  • Meaningful work

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