Own the bottlenecks. Trade the applications selectively.
The MRTNZ callScarcity still earns first.
Compute, networking, power, and cooling remain the cleanest exposures. The next leg depends on software proving that AI usage can become durable margin.
23Liquid AI names
+35.6%Median Street upside
−23.0%Median drawdown
July 28, 2026Market snapshot
The 360 view
The trade is broadening, but the economics are not equal.
Being right about AI adoption is not enough. The investable question is who captures the rent, who funds the build, and which valuations already assume a perfect handoff from infrastructure to applications.
The bottleneck map
Demand is abundant. Throughput is scarce.
AI value must pass through a physical system with long lead times. The narrowest point—not the loudest product—sets the economics of the current trade.
Conceptual flow of AI demand through the physical infrastructure constraint—not a quantitative market-size chart.
Illustrative scenarioBase build
Supply improves, but power and commissioning remain slow-moving constraints.
DemandModels + agents + applications
→
System throughput41= lowest capacity index
→
Current limiterTime-to-capacity
Selected constraintTime-to-capacity
The slowest physical dependency sets the commissioning date, even when every component has already been ordered.
Public-market read-throughDELL · HPE · VRT
Opportunity sequenceWhere the rent is captured now—and where it moves next
Now · Scarcity capture
Own the physical choke point
Accelerators, HBM, networking, power, and cooling monetize the build before downstream returns are fully visible.
MU · NVDA · ANET · VRT · ETN · GEV · CEGStay while: lead times, power access, and thermal capacity remain constrained.Next · Platform proof
Promote scaled distribution
Cloud and data platforms move forward when AI revenue begins outrunning depreciation and capital intensity.
Applications earn larger weights company by company when agents produce durable growth, retention, or margin.
PLTR · NOW · CRM · CRWDPromote when: monetization survives bundling pressure and shows measurable customer ROI.
Capacity scores are illustrative MRTNZ scenario indices from 0–100. They demonstrate bottleneck mechanics; they are not measured industry utilization, supply forecasts, or security price targets.
Capital stack
Where the money lands
Four layers, four different return profiles. Counts reflect this curated 23-name universe.
018 names
Compute
Silicon, memory, foundry capacity, lithography, and networking remain the first rent collectors.
Cycle, policy, and customer concentration.025 names
Platforms
Hyperscalers fund the build and own distribution. The question is whether revenue outruns depreciation.
Capital intensity and price competition.036 names
Infrastructure
Power, cooling, grid equipment, and servers monetize physical scarcity one layer below the model race.
Long-cycle execution and theme premiums.044 names
Applications
The largest long-run pool, but today’s most selective trade: usage must become durable revenue and margin.
Bundling, weak ROI, and multiple compression.
Opportunity board
Best setup ≠ best company
The score combines 35% direct AI exposure, 25% business quality, 20% Street setup, and 20% price dislocation.