What actually drives AI adoption in facility management

Artificial intelligence is changing how many industries work, and Facility Management (FM) is no exception. As organizations face rising challenges such as climate change, employee well-being, and cost pressures, AI could become a meaningful contributor to efficiency and sustainability. The industry is not known for adopting innovations quickly, though. Understanding what actually drives AI adoption in FM is therefore the more useful place to start.

This article draws on my master’s thesis research into the drivers behind AI adoption in Facility Management. Based on a modified Unified Theory of Acceptance and Use of Technology (UTAUT) model, the research identifies the factors that shape individual-level AI adoption and offers practical implications for the industry:

1. Performance expectancy

This refers to the degree to which someone believes AI will improve their job performance. The study found a positive correlation between performance expectancy and the intention to adopt AI. The more people perceive AI as a tool that enhances their work, the more likely they are to use it. The correlation is not strong, however, which may well be dampened by the fear of replacement.

2. Effort expectancy

This factor measures how easy individuals expect AI to be in terms of learning and daily use. It also has a positive effect on adoption intention, which suggests that simpler AI systems will encourage broader use in FM. Efforts to streamline AI tools could therefore lift adoption noticeably.

3. Social influence

The influence of colleagues, superiors, and industry trends plays a considerable role in shaping an individual’s decision to adopt AI. Social influence was also shown to have a positive effect. This underlines the importance of visible leadership support and peer advocacy in encouraging AI implementation within organizations.

4. Trust

Trust emerged as an important factor, but with a weaker correlation to adoption intention than the others. Concerns about AI’s ability to provide unbiased, secure, and reliable information sit at the core of this, alongside worries about data privacy and potential misuse. Improving transparency in how AI works could raise both trust and adoption rates.

5. Attitude toward using technology

The research revealed that attitude toward AI is the most significant factor influencing its adoption. Individuals with a positive view of AI were far more likely to embrace it. Building a favorable perception of AI within FM may therefore do more for adoption than any other single intervention.

The research concludes that while several factors positively influence AI adoption in FM, attitude toward AI stands out as the strongest predictor. Age did not significantly moderate the relationship between these factors and adoption, which suggests that strategies aimed specifically at younger or older employees may not be necessary.

Recommendations for facility managers

1. Focus on performance and ease of use

Facility managers should emphasize the practical benefits of AI in improving productivity and reducing operational complexity. User-friendly interfaces and clear training programs make AI less intimidating, which leads to faster and wider adoption. Acknowledge the fear of replacement as well, and be transparent about what roles may change and what new ones may open up.

2. Leverage social influence

Engage influential figures and early adopters within the organization to advocate for AI adoption. Peer-driven initiatives and leadership support strengthen the perceived value of AI and increase willingness to work with it.

3. Build trust through transparency

To address concerns about AI, focus on transparency and communication. Clear explanations of how AI systems function and how data is handled build trust among employees and stakeholders, which in turn raises acceptance. As an organization, take responsibility for data privacy and security, because users often underestimate the risks or overlook them entirely while using these tools.

4. Cultivate a positive AI culture

Finally, shaping a culture that sees AI as a useful tool rather than a threat will be essential. Highlighting concrete successes and encouraging genuine curiosity about what AI can do in the workplace helps turn skeptics into supporters.

As AI continues to develop, those in Facility Management who engage with it early will likely find themselves at a competitive advantage. By understanding and addressing the factors that drive adoption, FM professionals can prepare their organizations for this shift and move toward more efficient, sustainable, and responsive facilities.

These findings draw on research conducted for a Master of Science thesis in Management, Strategy and Innovation.

Originally published on LinkedIn.