Scarcity Regime Investment Framework
Identify physical resource constraints before the market reprices them and build portfolios around the bottleneck
The Scarcity Regime Investment Framework is a five-step process for identifying when the economy is operating under a supply-constrained inflationary regime rather than a demand-led growth or recession regime, and then building a portfolio that concentrates in the physical constraint beneficiaries. The investor reads cross-asset performance to detect the regime, diagnoses the specific physical inputs in shortage, maps first- and second-order beneficiaries of those shortages, constructs a portfolio around the physical supply chain rather than the application layer, and monitors leading indicators for regime change. The framework treats physical resource bottlenecks—chips, memory, power, energy, engineers—as the primary investment signal, superseding traditional macro indicators.
- Physical resource constraints drive sustained sector outperformance that GDP and earnings analysis alone cannot predict
- Correctly identifying the macro regime matters more than predicting the market's direction
- Scarcity in foundational inputs spreads inflation across the economy over quarters, not weeks
- Cross-asset YTD performance reveals the active regime more reliably than economic forecasts
- Portfolio concentration should target the physical constraint itself, not the applications built on top of it
- Second-order constraints—what is needed to relieve the primary bottleneck—are often the most underpriced opportunities
- Read the cross-asset performance tapeReview YTD and recent-quarter performance across at least 10 industry groups and major asset classes. Look for which sectors are consistently leading regardless of broader market direction. Persistent leadership in energy, materials, capital goods, and semis simultaneously signals a supply-constrained regime.Pro tipUse a simple table of YTD returns by industry group sorted from best to worst—the pattern across the top 5 names will tell you more about the regime than any single economic indicator.
- Diagnose the active macro regimeDetermine which regime type best explains the observed performance pattern. Distinguish between: inflationary supply constraint (industrial and commodity leaders), clean recession (defensives and cash lead), broad risk-off (correlations spike, everything falls), or reflationary expansion (cyclicals and growth both rise). Name the regime explicitly before building any position.Pro tipWhen energy, semis, capital goods, and materials all lead simultaneously while consumer sentiment is weak but unemployment is low, the regime is almost certainly supply-constrained and inflationary—not recessionary.WarningDo not default to recession framing because the consumer feels squeezed. Supply-constrained regimes produce inflation and industrial strength alongside consumer stress—they require a different playbook entirely.
- Map the specific physical scarcitiesList the exact physical inputs confirmed to be in shortage driving the regime. Follow the bottleneck chain: identify the most constrained input, then identify what is needed to relieve that bottleneck. Each link in that chain represents a potential investment theme. For AI compute scarcity: chips → memory → CPUs → power → transformers → engineers.Pro tipThe second-order constraint—what must be built to relieve the primary shortage—is usually more underpriced than the obvious first-order play because consensus discovers it later.
- Build positions in physical constraint beneficiariesConcentrate the portfolio in companies directly supplying or enabling the scarce resources and in second-order plays that benefit from the capital expenditure required to expand capacity. Avoid or underweight the application layer—companies consuming the scarce resource face margin pressure, not tailwinds.Pro tipWeight toward companies earliest in the supply chain of the scarce resource; they capture pricing power first and hold it longest before it dissipates downstream.WarningDo not confuse the narrative around a technology with the investment. Software companies using AI compute are the application layer—they face cost headwinds during a compute scarcity regime even if their products are excellent.
- Monitor leading indicators for regime changeTrack earnings revision direction, commodity input prices, inflation readings above or below key thresholds (e.g., 4% CPI), and demand signals from the scarcity-sensitive sectors. Set explicit trigger conditions for reducing exposure before the performance tape confirms a regime shift.WarningTwo consecutive weeks of negative earnings revisions is an early warning that the regime is softening—begin trimming the most speculative names in the basket before the broader market confirms the move.
Jordi diagnoses the 2025 market rally as a reflationary, stagflation-leaning, industrial scarcity regime after noting that energy, semis, capital goods, and materials all lead YTD while software names lag. He maps the scarcity chain: AI demand is absorbing chips, memory, CPUs, and power faster than supply can respond—a phenomenon confirmed by Korea's explosive semiconductor export inflation. His model portfolio concentrates in semi packaging, optical interconnects, rack infrastructure, power, and energy.
Korea's import and export inflation data shows explosive numbers not driven solely by oil but by semiconductor prices surging across PCs, smartphones, and appliances. Jordi maps this to the scarcity framework: AI agents absorbing memory and CPU capacity faster than production can respond is spreading cost pressure through the entire consumer electronics supply chain. This cross-border confirmation validates the regime diagnosis and supports continued concentration in chip supply chain names.
Extracted from Jordi Visser's weekly market analysis video series. Visser built this framework to explain why a model portfolio concentrated in energy, semis, capital goods, and materials dramatically outperformed while consensus investors remained anchored to software and consumer names.