Design Agenda

1. Advance spatial equity through hybrid connectivity and inclusive access
   
   

2. Recognize and govern spatial signals as public-interest infrastructure
   
   

3. Harmonize physical, digital, and perceptual systems through adaptive standards and open design
   
   

4. Reframe immersive and perceptual systems as components of civic infrastructure

Datascape: Cognitive Infrastructure Intensity

Composite signals of connectivity, sensing, spatial compute and human-AI interaction to define environments capable of supporting adaptive, perceptual technologies.

• East Asia (incl. China) demonstrates strong sensing density and rapid infrastructure deployment
• North America  shows deep compute capacity and platform ecosystems
• Northern Europe exhibits balanced integration supported by coordinated public infrastructure
• Other regions show partial development, often strong in connectivity, but less mature in sensing or spatial computing

Datascape: Model & Compute Concentration

Concentration of large-scale model training, hyperscale infrastructure, AI research, and investment as an upstream influence on cognitive infrastructure.  

• North America's signal intensity is strongest, where hyperscale compute infrastructure and frontier AI labs converge.
• China demonstrates rapid scaling of sovereign model ecosystems.
• The UK appears as a concentrated research node, with strong academic and venture activity in frontier AI.
• East Asia (excl. China) shows strong concentration of applied AI infrastructure and platform-scale ecosystems.
• Northern Europe shows mature digital infrastructure and coordinated innovation environments, though less concentration of large-scale model training clusters.

As sensing, connectivity, compute, and interaction systems converge, environments become increasingly measurable and responsive, with significant advances in equitable access for open and inclusive innovation.