Research maps for complex topics
Turn scattered research into a shared topic map.
Thematic helps teams build shared maps of a topic, connect causes and effects, and turn source material into a focused research workspace.
Cause and effect graph
Data centers: the AI-infrastructure value chain
Center node
Data Center Power Demand
The anchor of this map (metric). Its strongest causes and effects fan out around it.
Causal relationship
Data Center Power Demand → Electricity Grid Strain
Speculative demand growth forces utilities to rethink grid planning and financing to accommodate load
Causal relationship
Ai Compute Demand → Data Center Power Demand
20GW XPU platform is built to serve AI inference/training demand, directly requiring 20GW of power capacity
Causal relationship
Data Center Power Demand → Natural Gas Demand
Developers add on-site gas turbines for firm power.
Causal relationship
Data Center Construction → Data Center Power Demand
A hyperscale campus can draw as much power as a small city.
Causal relationship
Data Center Power Demand → Liquid Cooling Demand
Dense AI racks exceed air-cooling limits.
Data Center Power Demand
Where the map converges: 2 causes feed in and 3 effects ripple out.
Evidence
0.7420GW XPU platform is built to serve AI inference/training demand, directly requiring 20GW of power capacity
Source: strongest evidenced cause link
Node detail
strength 76Electricity Grid Strain
Best path: Data Center Power Demand → Electricity Grid Strain
Tour tips
FinaleMake any node the center to re-orient the map, then use discover more to grow the promising branches.
Center orientation
Lineage fans out from the selected center.
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