Occupancy Optimization

The Future of AI-Driven Space Management

95%+
Projected Data Center Occupancy by 2026

55%
Organizations Face Data & Expertise Gaps

44%
Of Data Center Power Consumed by AI by 2030

20-30%
Potential Efficiency Gains with Agentic AI

How AI is Transforming Space Management

From Insight to Action with Agentic AI

The next wave, Agentic AI, is shifting space management from providing insights to making automated decisions. By 2026, these systems will synthesize occupancy trends, sensor data, and even weather forecasts to dynamically control HVAC, lighting, and seating arrangements in real-time, moving beyond static operational schedules.

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AI Adoption Hurdle: Data Quality

55%

55% of organizations cite data quality and a lack of in-house expertise as major barriers to adopting AI for space optimization.

Data Center Demand Surges

17%
Annual Demand Growth

92 GW
Projected Demand by 2027

Driven by AI, data center power demand is projected to grow 17% annually, reaching 92 GW by 2027.

Real-World Examples of AI in Action

🏢 HubStar’s Global Workspace Analysis

By tracking over 27,000 workspaces with sensors and Wi-Fi data, HubStar revealed key hybrid work patterns. This allowed organizations to replan spaces, addressing misalignments between desk supply and actual demand, leading to more efficient layouts.

💡 Cisco’s Agentic AI Energy