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What Employees Expect from AI: Characteristics and Directionality Within a Plurality of AI Expectations
Jönköping University, School of Education and Communication, HLK, Media and Communication Studies.
Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics.ORCID iD: 0000-0003-2900-9335
Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.ORCID iD: 0000-0002-8993-4306
Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.ORCID iD: 0000-0003-3133-1112
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2026 (English)In: Controversies of AI Society: Proceedings, Conference Organised by the research projects Algorithms, Data & Democracy (ADD) and Strategizing Communication and Artificial Intelligence (SCAI) Copenhagen, Denmark 9-10 April 2026 / [ed] Ib T. Gulbrandsen, Torben Elgaard Jensen, Sine N. Just, Christina Lioma, Helene Friis Ratner, Alf Rehn, & Leonard Seabrooke, 2026, p. 59-77Conference paper, Published paper (Refereed)
Abstract [en]

AI is viewed as the next major technological breakthrough for organizations. The range of areas, professions, and practices that can be improved with AI assistance or automation is overwhelming. However, this wide array of possibilities also brings a variety of expectations about how AI will change organizations and employees’ everyday work. Considering that voiced expectations influence adoption processes by both reflecting and shaping certain relational, belief-driven dynamics, we can learn a great deal about AI adoption by studying the organizational plurality of AI expectations. Therefore, this study examined AI expectations held by employees in three organizations currently adopting AI for use in the workplace. The study is based on a thematic analysis of empirical material form 15 focus groups in three Swedish AI-adopting organizations and shows how AI expectations shape the following: (1) a growing desire to move from exploring AI to establishing AI routines and regulations, (2) emerging dilemmas related to both the violation and fulfillment of AI promises, and (3) how dynamics and unpredictability in the AI field require organizations to adapt to shifting trends and innovations.

Place, publisher, year, edition, pages
2026. p. 59-77
Keywords [en]
AI, AI expectations, Organizational adoption
National Category
Other Social Sciences not elsewhere specified Business Administration
Identifiers
URN: urn:nbn:se:hj:diva-71222DOI: 10.54337/aau.add.scai-11427OAI: oai:DiVA.org:hj-71222DiVA, id: diva2:2055261
Conference
Conference Organised by the research projects Algorithms, Data & Democracy (ADD) and Strategizing Communication and Artificial Intelligence (SCAI) Copenhagen, Denmark 9-10 April 2026
Projects
AFAIR
Funder
Knowledge Foundation, 20200223Available from: 2026-04-23 Created: 2026-04-23 Last updated: 2026-04-23Bibliographically approved

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Hedenmo, OttoRiveiro, MariaEngström, AnnikaEdh, NinaMachado, Carla G.Pittino, Daniel

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Hedenmo, OttoRiveiro, MariaEngström, AnnikaEdh, NinaMachado, Carla G.Pittino, Daniel
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HLK, Media and Communication StudiesJTH, Department of Computer Science and InformaticsJTH, Supply Chain and Operations ManagementJIBS, Business AdministrationJIBS, Centre for Family Entrepreneurship and Ownership (CeFEO)JIBS, Media, Management and Transformation Centre (MMTC)JIBS, Centre for Entrepreneurship and Spatial Economics (CEnSE)
Other Social Sciences not elsewhere specifiedBusiness Administration

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