AI Transformation: Ready or Already?
Journal article, 2026
Generative AI promises substantial productivity gains, but many initiatives fail. This column argues that outcomes depend on readiness, not technology alone. We examine AI transformation requirements across organizational, individual, and technological dimensions, highlighting why engineering practices, human factors, and strategic clarity determine success.
Printing
Testing
Modeling
Educational institutions
Artificial intelligence
Organizations
Software
Technology
Codes
Author
Felix Dobslaw
Mid Sweden University
Lucas Gren
University of Gothenburg
Getinge Group
Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and Software Engineering
Markus Borg
CodeScene
Erik Sterner
University of Gothenburg
IEEE Software
0740-7459 (ISSN) 19374194 (eISSN)
Vol. 43 3 8-12Subject Categories (SSIF 2025)
Computer Vision and learning System
Other Social Sciences not elsewhere specified
Sociology
DOI
10.1109/MS.2026.3662854