The integration of artificial intelligence (AI) in the workplace is reshaping how professionals engage with their work. In a recent study, researchers Andreas Bergqvist, Tony Clear, Mats Daniels, Niklas Humble, Marta Larusdottir, Maria Normark, and Sofia Ouhbi explored how AI affects work engagement among IT professionals through the lens of Self-Determination Theory (SDT). Their research provides insights into both the opportunities and challenges of AI-driven work environments.
The Dual Impact of AI on Work Engagement
The study found that AI tools, such as UiPath and GitHub Copilot, improve efficiency by automating routine tasks. This allows IT professionals to focus on more complex and creative aspects of their work, enhancing their perceived competence—a key component of work engagement according to SDT. However, this efficiency gain comes with challenges, particularly the need for continuous learning and adaptation.
Some professionals view AI as an empowering assistant that supports them in their work, while others feel pressure to deepen their AI knowledge to keep up with industry expectations. The researchers highlight that while AI can enhance competence and autonomy, its rapid evolution demands a significant investment in skill development.
Learning and Adaptation: A Necessity in AI-Driven Work
One key theme that emerged from the interviews was continuous learning. Since formal AI training is often lacking, IT professionals rely on self-directed learning through online resources, internal communities, and hands-on experimentation. Many also use AI itself as a learning tool, leveraging it for brainstorming ideas, debugging, or validating their work.
However, the study also found that AI’s accuracy and reliability remain concerns. Professionals hesitate to fully trust AI outputs without verification, indicating that AI should complement—not replace—human expertise.
AI’s Influence on Motivation and Collaboration
The study revealed that AI both enhances and disrupts traditional work dynamics. Some participants felt that AI increased their autonomy, enabling them to solve problems independently before turning to colleagues. Others noted that AI might reduce direct collaboration, as employees increasingly rely on AI-generated insights rather than consulting team members.
Future Considerations: Designing AI-Integrated Workplaces
The findings suggest that for AI to positively impact work engagement, organizations must balance efficiency with employee well-being. AI should be designed to support human competencies, allowing professionals to grow rather than feel displaced. Companies should also invest in structured AI training to ensure that employees are equipped to navigate this evolving landscape.
Final Thoughts
As AI continues to reshape industries, its impact on work engagement will depend on how well it is integrated into professional workflows. By understanding AI’s effects on competence, learning, and motivation, organizations can better navigate the challenges and opportunities of this transformation.
For those interested in workplace digitalization, this research underscores the importance of human-centered AI design, ensuring that technological advancements enhance—not hinder—professional engagement.
Reference
Cajander, Å., Bergqvist, A., Clear, T., Daniels, M., Humble, N., Larusdottir, M., Normark, M., & Ouhbi, S. (2024). AI and work engagement: A study of IT professionals through the lens of self-determination theory. Uppsala University.