CONVERGE · Supply Chain Convergence Intelligence
77%

of global semiconductor fab capacity sits in four countries that all score moderate-to-high on climate vulnerability.

Your climate risk map and your compliance risk map should be the same document.

Explore the data ↓
CLIMATE · HIGH REGULATORY · HIGH CONCENTRATION · CRITICAL 4/5 SEVERE CONVERGENCE
Bottom line
In the last six months the convergence thesis stopped being hypothetical: a contested Hormuz closure spiked energy and shipping costs, a super typhoon crossed the Taiwan Strait, three earthquakes hit Japan — the latest on 28 Jul next to TSMC's Kumamoto fab — while UFLPA passed 18,000 reviewed shipments and CSDDD deadlines approach.
Trend: ↑ worsening · As of 29 July 2026 · Assessment window: through Q3 2027 · Confidence: High · Sources: CBP, EU, ND-GAIN, SEMI, USGS
0%
Fab capacity in 4 countries
0%
TSMC global foundry share
0
UFLPA shipments reviewed
0
Thailand 2011 losses

How semiconductors flow across borders — and where the system is fragile.

Live hazard layer: connecting…
Critical / Nearshore
Materials & equipment
Trade flow
UFLPA scrutiny / Diversification
Shipping chokepoint
Major container port
Live hazard signal (7-day)
Event epicenter — click for playbook
The Concentration ProblemSevere

The hardware supply chain is a concentrated bet on climate-vulnerable countries.

Every bubble is a country. The further right, the more climate-vulnerable. The higher up, the more semiconductor capacity at risk. The bigger the bubble, the more chips it outputs.

Climate Vulnerability vs. Semiconductor Capacity
ND-GAIN Vulnerability Index (2023) × SEMI World Fab Forecast (2025)
Current hubs
Diversification targets
Low vulnerability
Country × Exposure DependencyCritical

One table. Every exposure. Read your sourcing footprint against it.

Each cell shows a country's exposure per risk dimension — physical climate hazards on the left, regulatory and structural pressure on the right. The right-hand column counts how many dimensions sit at elevated exposure or higher.

Reading the table: Hazard cells are scored from each country's documented hazard profile weighted by ND-GAIN vulnerability. Regulatory cells reflect UFLPA entity-list exposure (CBP) and CSDDD scope (EU 2024/1760). Concentration reflects share of global fab capacity and output (SEMI). Exposed counts dimensions at severity ≥3 on the 0–5 scale. Green cells mean the country drives the rule instead of being exposed to it: ENF = enforcing jurisdiction (the U.S. enforces UFLPA at its border), REG = regulator/author (EU member states wrote and transpose the CSDDD).

The Diversification Trap

The industry's fix is making the problem worse. Diversification destinations are more climate-vulnerable than the countries they're meant to replace.

Moving to
 

The industry is moving supply chains from moderate-vulnerability countries to high-vulnerability countries. Vietnam's ND-GAIN vulnerability score is 23% worse than China's. India's is 27% worse. That is not derisking. That is trading one category of exposure for another — and calling it a strategy.

Response StrategyHigh

Where each country sits — and what to do about it.

A Kraljic-style positioning grid adapted to convergence risk: business impact on one axis, convergence exposure on the other. The quadrant your sourcing countries land in suggests the response strategy.

↑ Convergence risk (climate × regulatory exposure)
Bottleneckbuffer stock, qualify a second source, monitor closely
Strategicexecutive attention, dual-source, scenario planning
Non-criticalstandard terms, automate
Leveragenegotiate, keep alternatives warm
Low business impactBusiness impact (share of global chip supply, hard to substitute) →

Reading the grid: Taiwan sits deep in STRATEGIC — highest value at stake, highest disruption exposure, no substitute at its technology node. The diversification destinations (Vietnam, India, Philippines) cluster in BOTTLENECK: modest business impact today, but disproportionate convergence risk. Positions derive from the same data as the Convergence Risk Score.

Convergence Risk Score

Country Risk Profiles

Each country scored on three dimensions: climate vulnerability, regulatory pressure, and supply chain concentration. Click a card for details — and set your own weights below: your risk appetite, your ranking.

Weighting
Bring Your Own FootprintInteractive

Your sourcing mix, your risk score.

Enter where you source from and roughly how much. CONVERGE scores your footprint with the same method as the country profiles — including whatever CRS weights you set above. Everything runs in your browser: nothing is stored, nothing is sent anywhere.

Sourcing countries & shares
Stress Test

What happens if a country goes offline?

Select a country to see the cascading impact on global semiconductor supply.

Regulatory ConvergenceHigh

Climate exposure and regulatory pressure are converging on the same geographies.

The regulations targeting supply chains are accelerating — and they target the same countries where climate risk is highest.

Signal History

Every disruption left a fingerprint. The pattern is accelerating.

Major supply chain disruptions from 2011 through July 2026 — each with a source link — and the lessons they encode for semiconductor risk.

Shock → Scramble → Exposure: how a physical disruption becomes a compliance problem

Every disruption in the record below followed the same arc. The visible damage ends early — the regulatory exposure peaks last, because emergency sourcing decisions get made faster than due diligence can follow.

1 — Shock
The event itself: a typhoon, a quake, a strait closing. Prices spike, freight reroutes, headlines run. Loud, fast — and mostly survivable if you can keep material moving.
Who acts here: markets, logistics, news
Hours → days
2 — Scramble
Operations switch to whoever can deliver: alternate suppliers qualified in days instead of months, spot buys, allocation letters, force majeure. Necessary — and almost never fully vetted.
Who acts here: procurement, operations, treasury
Days → weeks
3 — Exposure
The compliance bill arrives months later: the emergency suppliers nobody had time to screen surface as UFLPA detentions, CSDDD documentation gaps and audit findings — long after the disruption itself has left the headlines.
Who acts here: compliance, legal, customs
Weeks → months

This is CONVERGE's core claim in one sentence: the scramble is where climate risk turns into compliance risk — which is why the two risk maps have to be the same document.

Simulate a disruption — Monte Carlo model
Shock and scramble dynamics plus conditional production loss. 1,000 stochastic runs per scenario, calibrated to the historical analogs below. Schematic severity index, not a forecast.

Early Warning SystemCritical

Where the next disruption is most likely — and why.

Trend analysis from historical patterns, climate projections, and regulatory acceleration curves.

UFLPA Enforcement Acceleration

+51% YoY increase in reviewed shipments

CBP reviewed 7,325 shipments in FY2025 (up ~51% YoY) — more than 18,000 shipments worth ~$3.81B since June 2022, with only ~6.5% of reviewed shipments released. In 2026 the FLETF added lithium, steel, copper, aluminum, and PVC as high-priority sectors: enforcement is expanding from solar into the entire electronics materials chain.

Signal strength: CRITICAL

CSDDD Regulatory Wave

Jul 2027 mandatory for largest companies

EU Corporate Sustainability Due Diligence Directive requires supply chain human rights and environmental due diligence. Companies with 1,000+ employees and €450M+ turnover must comply first. Semiconductor OEMs with EU revenue are in scope.

Signal strength: HIGH

Taiwan Climate + Geopolitical Convergence

90%+ advanced chip concentration

Taiwan produces 90%+ of advanced chips (<7nm). The stress tests keep coming: Dec 2025 M7.0 quake (fourth strong quake near the fab belt since Nov 2025), Super Typhoon Bavi skirting the island in Jul 2026, 2021's worst-in-56-years drought. Seismic design has held every time — but no historical precedent exists for a full disruption at this scale. The Thailand 2011 analog would understate impact by 10-50x.

Signal strength: HIGH

Diversification Trap — Vulnerability Migration

0.468 avg vulnerability of new destinations

Companies diversifying from Taiwan/China to Vietnam, India, and Philippines are trading concentration risk for climate vulnerability. Average ND-GAIN vulnerability of emerging destinations (0.466) exceeds established hubs (0.386). Risk is being redistributed, not reduced.

Signal strength: ELEVATED

Maritime Chokepoint Compounding Risk — Now Live

4 disruptions at major shipping chokepoints in 5 years (2021-2026) — one ongoing

This risk stopped being predictive in February 2026: the Strait of Hormuz closure (~20% of global oil) stranded ~2,000 ships, pushed Brent to a $126 peak, and quadrupled insurance premiums — the largest energy supply disruption since the 1970s. A June reopening deal remains contested as of mid-July. The 2024 Red Sea crisis already showed the cascade mechanics: Cape of Good Hope rerouting added 10-14 days, container rates spiked 200-300%, and demand signals amplified 3-4x through the tiers (bullwhip). Energy-intensive fabs across Asia are absorbing the cost shock now.

Signal strength: CRITICAL — ACTIVE

Seasonality: when hazards stackConvergence windows

How disruptive each hazard typically is in each month across the semiconductor manufacturing belt, scored 0–5. The dangerous months are where several rows darken at the same time.

Reading the heatmap: Every cell is a severity band from 0 to 5 — how disruptive that hazard historically is in that month (0 = no activity, 5 = peak season / hard deadline). Cells at 4 or 5 show their number; the current month is outlined. Jul–Oct is the structural convergence window: NW Pacific typhoon season peaks over Taiwan, Philippines, and Japan at the same time as South Asian monsoon flooding and Thailand's flood season — while regulatory deadlines (CSDDD July 2027) land in the same quarter. Severity bands are indicative, compiled from historical event frequency in the disruption record below.

Convergence Forecast

The window between now and Q3 2027 represents a critical transition period: UFLPA enforcement intensifying, CSDDD compliance deadlines approaching, climate events increasing in frequency, and maritime chokepoints under persistent geopolitical pressure. Each risk domain reinforces the others — a climate event at a chokepoint triggers shipping delays that trigger bullwhip effects that trigger regulatory scrutiny. Companies without supply chain climate risk intelligence by mid-2027 face regulatory exposure on multiple fronts simultaneously.

Data & Methodology

How We Built This

Every number traces to a named primary source. No LLM-generated statistics.

Climate Vulnerability

ND-GAIN Country Index (2023), University of Notre Dame. 185 countries scored on 36 indicators across food, water, health, ecosystem, habitat, and infrastructure. Higher vulnerability score = less prepared.

Semiconductor Capacity

SEMI World Fab Forecast (2025-2026). Installed fab capacity by country/region. Output percentages weighted by wafer starts and technology node.

Regulatory Data

UFLPA enforcement: CBP Statistics — 18,000+ shipments (~$3.81B) reviewed since June 2022; FY2025: 7,325 shipments (+51% YoY); 2026 FLETF priority sectors: lithium, steel, copper, aluminum, PVC. CSDDD: EU Directive 2024/1760 + Omnibus I amendments (Directive 2026/470).

Convergence Risk Score

Composite metric: CRS = (Climate × w₁) + (Regulatory × w₂) + (Concentration × w₃). Baseline weights 0.4/0.3/0.3 — but the Risk Profiles view lets you set your own (plus an entropy-based data-driven preset), and every ranking is robustness-tested across 120 weighting combinations. Climate uses ND-GAIN vulnerability normalized 0-100; Regulatory scores UFLPA entities, CSDDD scope, enforcement intensity; Concentration uses fab capacity + output share.

Precedent Data

Thailand 2011 floods: World Bank ($46.5B losses), Swiss Re (2021 retrospective). 25% of global HDD production disrupted. Recovery took approximately two years.

Live Hazard Layer

Fetched client-side at page load, no backend: Open-Meteo 7-day forecast (max daily wind gusts, precipitation) for 15 representative fab/industry clusters, GDACS (EU/UN) Orange and Red disaster alerts, and USGS M5.5+ earthquakes from the past 7 days — each within 300 km of a site. Thresholds: gusts ≥90 km/h (storm) / ≥118 km/h (hurricane force); rain ≥100 / ≥180 mm/day; quakes M5.5+ flag / M6.5+ critical. Forecasts are model output, not observations — a signal to look closer, not a verdict. If the APIs are unreachable, the page falls back to the static view.

Tool & Pipeline

Built as part of Terra.do "AI for Climate: Practical Tools" (Cohort 2). Data verified through a four-stage pipeline: Research → Structure → Narrate → Produce. Built with Chart.js, vanilla JS, and deployed on Vercel.