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Mapping AI Use in the Employee-centric Hybrid Workplace
Kiwoong Nam, Minna Pietikäinen, Jenna Pennanen, Siiri Jalo, Tarja Kantola, Jia Wang
Touchpoint - From AI to Synthetic Services 17 No. 1 (2026)
https://doi.org/10.30819/touchpoint.17-1.19 pp: 100-104 2026-04-20
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Cite: APA BibTeX
Nam, K., & Pietikäinen, M., & Pennanen, J., & Jalo, S., & Kantola, T., & Wang, J. (2026). Mapping AI Use in the Employee-centric Hybrid Workplace. Touchpoint - From AI to Synthetic Services, 17 (1), 100-104. doi:10.30819/touchpoint.17-1.19
@article{Nam_2026,
doi = {10.30819/touchpoint.17-1.19},
url = {https://doi.org/10.30819/touchpoint.17-1.19},
year = 2026,
publisher = {Logos Verlag Berlin},
volume = {17},
number = {1},
pages = {100-104},
author = {Kiwoong Nam, Minna Pietikäinen, Jenna Pennanen, Siiri Jalo, Tarja Kantola, Jia Wang},
title = {Mapping AI Use in the Employee-centric Hybrid Workplace},
journal = {Touchpoint - From AI to Synthetic Services}
}
Abstract
Hybrid work is now routine in many organisations, with employees
working across home, office and on-site locations. At the same time,
AI, and particularly Large Language Models(LLMs), are becoming
embedded in everyday work – from simple information search
and drafting support to AI-enabled enterprise platforms such as
Enterprise Resource Planning (ERP) systems. However, the speed
of AI development often outpaces the organisational decisionmaking
process. Furthermore, there is a substantial disparity in AI
literacy among individuals in similar roles, as the range of available
AI tools is extensive and the selection of tools remains largely a
matter of personal preference rather than organisational oversight.
As a result, AI implementation can become a purely technical
exercise (or a debate about job replacement), without sufficient
attention to longer-term outcomes such as employee experience,
learning, trust and sustainable performance.