Why AI adoption in government facilities is becoming a budget strategy

Government facility leaders are being asked to modernize aging buildings with tighter budgets, higher security expectations and fewer resources. This tension is shaping how public sector teams invest in AI, workplace analytics and predictive maintenance.

To better understand how government organization are using technology to address these challenges, we analyzed responses from government participants in our latest survey of 760 US business leaders and 260 facility managers (FMs).

Here are 3 key takeaways from the 2026 AI & Digitalization in Government Facilities Management Report, Government Edition:

1: Government organizations show strong intent to adopt AI, but tight budgets limit expansion

Our survey found government organizations are already using AI to improve workplace and building performance, with many planning to expand its use even further

• 57% of government agency leaders and facility manager use AI to improve workplace operations, utilization and maintenance
• 51% of government leaders plan to implement AI within the next year

While these figures reflect strong interest in AI adoption among government organizations, they still trail other industries. According to the survey, 67% of non-government leaders are currently using AI, and 67% plan to adopt or expand the use of AI in the next year.

Because government organizations manage sensitive data and critical infrastructure, it’s easy to assume that cybersecurity concerns are slowing AI adoption. But our survey found that budget constraints — not security concerns or resistance to change – are the primary barriers to expansion.

• 31% of government leaders cite budget constraints as the primary obstacle to expanding AI use – by far the top response
• 16% cite data privacy and cybersecurity concerns as the biggest barrier, compared with 23% of non-government leaders
• Only 4% of government leaders say resistance to change among staff or leadership is the biggest barrier to AI adoption

Government FMs report similar concerns, with budget limitations the top barrier to expanding AI use.

2: Manual data collection is still holding government facilities teams back

Many public sector agencies have already invested in workplace management and smart building technologies to improve visibility of facilities performance and support more informed decision-making. To that end, 44% of government agency, facility and operations leaders report that their organization is currently using a workplace management or smart building solution.

Among organizations that have adopted these systems, use of advanced analytics capabilities is increasing significantly. 65% of government leaders using a workplace management or smart building solution have implemented a workplace analytics tool. This is up from 61% last year and 38% in 2024.

Despite this progress, many public sector organizations continue to rely on less sophisticated approaches to collecting workplace and facilities data. When it comes to collecting data to measure the performance of their current work arrangement, 40% of government leaders report either having no system in place or relying on manual processes, compared with 23% of non-government leaders.

Results from the survey suggest that government organizations recognize the shortcomings of manual data collection and are investing in technologies that can transform workplace and facilities data into actionable insights.

• 34% of government leaders say they plan to implement a workplace management or smart building solution within the next year
• 57% of those who are planning to implement a workplace management or smart building solution within the next year will be rolling out a workplace analytics tool – the top planned use case

3: Predictive maintenance is emerging as a top technology investment priority

While overall digitalization and AI adoption in government facilities management trail other industries, the prioritization of predictive maintenance is highly consistent across sectors.

Government FMs cite reducing costs and improving equipment performance as their top operational priorities over the next year. Predictive maintenance sits at the intersection of both objectives, making it a logical focal point for investment.

• When asked what technology they’re planning to implement in the next year to assist with the operation and maintenance of workplaces, 37% of government leaders cite
• AI-driven predictive maintenance – the top response. AI-driven predictive maintenance is the top planned technology investment among government FM respondents
• Among government FMs who say they will be implementing AI within the next year, predictive maintenance is the most cited use case

The fact that both FMs and leadership prioritize predictive maintenance underscores its potential to improve facilities performance while controlling costs.

What this means for government facilities management strategy

The above findings suggest that government organizations increasingly recognize the value of workplace analytics, operational visibility and AI-driven facilities technologies. If funding becomes available, adoption of workplace management, AI and smart building technologies could accelerate significantly.

For now, limited resources mean public sector organizations are prioritizing technologies that deliver measurable operational impact. From workplace analytics to predictive maintenance, investments are increasingly focused on practical, high-value use cases that improve visibility, strengthen reliability and support more efficient operations.

OpenBlue helps government organizations modernize facilities operations through AI-enabled technologies that improve performance, enhance visibility and support smarter decision-making. These digital tools help facilities teams control costs and operate more efficiently.

FAQs

How are government organizations using AI in facilities management? 

Government organizations are increasingly using AI to improve workplace operations, building performance and facilities management. Common use cases include predictive maintenance, workplace analytics, operational optimization and improving visibility into building performance. 

What is preventing government agencies from expanding their use of AI?

According to the survey, budget constraints are the biggest barrier to expanding AI adoption in government facilities. Respondents are significantly more likely to cite funding limitations than concerns about cybersecurity, privacy or resistance to change.

Are government organizations investing in workplace analytics?

Yes. Many government organizations are continuing to invest in workplace analytics tools that provide greater visibility into facility utilization, workplace performance and operational trends. Survey responses suggest analytics is one of the most common planned use cases for future workplace management and smart building technology deployments.

Why is predictive maintenance important for government facilities?

Predictive maintenance helps facility teams identify potential equipment issues before failures occur. For government organizations facing budget constraints and aging infrastructure, predictive maintenance can help reduce downtime, improve asset performance and make more efficient use of maintenance resources.