FINANCEMonths to result

Scarcity Regime Investment Framework

Identify physical resource constraints before the market reprices them and build portfolios around the bottleneck

Problem it solves

Investors misread sustained sector outperformance by applying recession or growth-cycle frameworks when the true driver is a supply-constrained, inflationary scarcity regime—causing them to short the leaders and hold the laggards.

Best for

Macro-aware investors and portfolio managers who want to position thematically around multi-year physical supply constraint cycles before consensus recognizes the regime.

Not ideal for

Short-term index traders or passive investors seeking broad market exposure without thematic concentration.

Overview

Why this framework exists

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.

Core principles

6 total
  1. Physical resource constraints drive sustained sector outperformance that GDP and earnings analysis alone cannot predict
  2. Correctly identifying the macro regime matters more than predicting the market's direction
  3. Scarcity in foundational inputs spreads inflation across the economy over quarters, not weeks
  4. Cross-asset YTD performance reveals the active regime more reliably than economic forecasts
  5. Portfolio concentration should target the physical constraint itself, not the applications built on top of it
  6. Second-order constraints—what is needed to relieve the primary bottleneck—are often the most underpriced opportunities

Steps

5 steps
  1. Read the cross-asset performance tape
    Review 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.
  2. Diagnose the active macro regime
    Determine 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.
  3. Map the specific physical scarcities
    List 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.
  4. Build positions in physical constraint beneficiaries
    Concentrate 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.
  5. Monitor leading indicators for regime change
    Track 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.

Checklist

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Examples

2 cases
AI Compute Scarcity Portfolio (2025)

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.

OutcomeEvery model portfolio name makes new year-to-date highs during the rally, with exponential moves in packaging and optical components, while software names bounce but remain structurally in downtrends.
Chipflation as Regime Confirmation

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.

OutcomeSemiconductor prices continue rising globally, suppressing consumer electronics demand and validating the scarcity regime thesis for investors already positioned in the physical supply chain.

Common mistakes

3 traps
Misreading supply constraints as recession
When consumer sentiment is weak but industrial sectors are outperforming sharply, investors trained on recession playbooks underweight the very sectors leading the market. The framework requires diagnosing the regime from cross-asset performance before applying any sector positioning, not from consumer confidence surveys alone.
Buying the application layer instead of the constraint
Investing in AI software companies that consume scarce compute instead of the companies supplying it puts you on the wrong side of the scarcity dynamic. Application-layer companies face rising input costs and margin compression during scarcity regimes; physical suppliers capture pricing power and volume simultaneously.
Missing regime change signals until too late
Investors concentrated in scarcity beneficiaries often hold too long after earnings revisions turn negative or commodity prices break. The framework requires active monitoring of specific leading indicators—not just position performance—so exposure can be reduced before the tape confirms the shift.

Origin story

How this framework came to be

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.

Source

Traced to primary
Source · VIDEO
All Time Highs Built On A Compute Shortage — Jordi Visser
Jordi Visser · 2026
Open source →

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