MediaTek Faces Cost Pressure from China's Export Control on Gallium
Export Control
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Fastmarkets / Global Times / Xinhua
On November 9, 2025, China's Ministry of Commerce announced the suspension of the prohibitive clauses from the 2024 Announcement No. 46 regarding the export of gallium, germanium, antimony, and superhard materials to the United States. This suspension is effective from November 9, 2025, until November 27, 2026. However, export bans and licensing requirements remain for military end-users or military purposes. This policy adjustment temporarily alleviates export risks at resource nodes.
Supply Chain Risk Exposure Analysis for MediaTek (Smartphone Chipset)
Attention: A significant supply chain risk alert has been identified, impacting MediaTek with moderate cost pressure due to rising upstream material prices. The initial effects will be felt in the gallium and arsenic markets within 2 weeks, with the full impact reaching MediaTek in 8 weeks. Risk Propagation Pathway: The SCRT framework has traced the risk propagation path as follows: China's export control pause on gallium-related exports to the U.S. until November 2026 → arsenic ore → gallium arsenide wafers → RF front-end components → RF modules → smartphone chips → MediaTek. This pathway is identified by SCRT, SupplyGraph.ai's supply chain risk tracing framework, which operates on a robust foundation of four continuously updated 24/7 proprietary databases and SCRT algorithms. This ensures the results are data-driven, objective, and traceable. Mechanism of Impact: The recent policy shift in China's export controls has triggered price increases in critical materials. Gallium and arsenic prices have steadily risen since the announcement in November 2025, reflecting market recalibration and uncertainty over long-term access. The price movements are as follows: Gallium increased from 420 USD/kg in December 2025 to 450 USD/kg by February 2026, while arsenic rose from 2400 USD/ton to 2500 USD/ton in the same period. These price increases propagate through the supply chain: within 1–2 weeks, arsenic and gallium prices influence wafer costs, which then affect RF front-end components within 2–4 weeks. RF front-end suppliers, operating on tight contracts, experience cost pressures within 3–5 days. RF modules face cost and delivery pressures within 1–2 weeks, and smartphone chip assemblers absorb these increases over the next 2–3 weeks. MediaTek, as the final integrator, encounters the cumulative effect within an additional 1–2 weeks. The sustained rise in upstream material prices is set to exert moderate cost pressure on MediaTek within 8 weeks, primarily through input cost pass-through rather than outright supply disruption, as the temporary export reprieve shields against immediate shortages but not market-driven price inflation.### Moderate Cost Pressure on MediaTek
MediaTek faces moderate cost pressure from rising upstream material prices, with initial impacts hitting gallium and arsenic markets within 2 weeks and the full effect reaching the company within 8 weeks.
### Risk Propagation Pathway
SCRT identifies a risk propagation path: China’s export control pause on gallium-related exports to the U.S. until November 2026 → arsenic ore → gallium arsenide wafers → RF front-end components → RF modules → smartphone chips → MediaTek.
SCRT, SupplyGraph.AI’s supply chain risk tracing framework, operates on a foundation of real-world industrial linkages.
4 continuously updated 24/7 proprietary databases + SCRT risk tracing algorithms → risk propagation path
SCRT draws from a 400M+ global company database, a 1.5M+ industrial product database, a product dependency graph mapping component hierarchies and production-stage consumables with associated manufacturers, and a 5M+ historical event database of supply chain disruptions. By learning disruption patterns from past events, SCRT continuously monitors global developments tied to critical industrial inputs. When China’s gallium export policy emerged, the system matched it against historical analogues and traced its ripple through the product dependency graph. This enabled precise identification of affected nodes—starting from raw materials through intermediate components—and quantified MediaTek’s exposure via its reliance on gallium arsenide–based RF modules in smartphone chip production.
Every node in the identified path reflects verifiable business relationships and material flows documented in global supply chain records. The propagation sequence derives strictly from data-driven reconstruction of actual industrial interdependencies.
### Mechanism of Impact
Any supply chain risk ultimately manifests in price movements, and the recent policy shift in China’s export controls has already begun to ripple through critical material markets. Spot prices for gallium and arsenic—key inputs in semiconductor production—have risen steadily since the November 2025 announcement, reflecting both market recalibration and lingering uncertainty over long-term access. The following table captures this trend:
| Product | Date | Price |
|-----------|------------|---------------|
| Gallium | 2025-12-15 | 420 USD/kg |
| Gallium | 2026-01-15 | 430 USD/kg |
| Gallium | 2026-02-15 | 450 USD/kg |
| Arsenic | 2025-12-15 | 2400 USD/ton |
| Arsenic | 2026-01-15 | 2450 USD/ton |
| Arsenic | 2026-02-15 | 2500 USD/ton |
This upward pressure propagates along a well-defined path: within 1–2 weeks of the policy adjustment, arsenic and gallium prices began influencing arsenic-gallium wafer costs, which feed directly into radio frequency (RF) front-end components. Given typical inventory drawdown cycles, wafer producers passed on higher input costs within 2–4 weeks. The impact then moved swiftly—within 3–5 days—to RF front-end suppliers, who operate on tight procurement contracts. Subsequent stages followed: RF modules faced cost and delivery pressure within 1–2 weeks due to production pacing, and smartphone chip assemblers absorbed these increases over the next 2–3 weeks. Finally, MediaTek, as the end-point integrator of these chips, encountered the cumulative effect within an additional 1–2 weeks. Taken together, the sustained rise in upstream material prices is set to exert moderate cost pressure on MediaTek within 8 weeks, primarily through input cost pass-through rather than outright supply disruption, as the temporary export reprieve shields against immediate shortages but not market-driven price inflation.
### Will MediaTek Escape Significant Supply Chain Risk?
While MediaTek's strategic positioning and industry dynamics may appear to mitigate risks from China's gallium export pause, several factors warrant scrutiny. MediaTek does not directly procure gallium or arsenic but relies on specialized suppliers for fully integrated RF modules and chipsets. These suppliers often maintain diversified raw material sources and long-term contracts, which can buffer short-term price volatility.[3] Furthermore, gallium arsenide (GaAs)-based components constitute only a portion of MediaTek's RF portfolio, with growing adoption of alternatives such as silicon-on-insulator (SOI) and CMOS-based RF designs in mid-tier smartphone chips, thereby reducing dependency on gallium-intensive materials.[1] The policy's temporary reprieve—allowing commercial exports until November 2026—further minimizes immediate supply disruptions, affording time for supply chain adjustments.[5] Historical precedents of similar mineral policy shifts have shown marginal cost impacts on fabless firms like MediaTek, as upstream suppliers absorb moderate input increases to preserve key customer relationships in competitive markets.[7] Thus, rising spot prices may not translate into substantial margin erosion within MediaTek's existing cost structures.
### Why Risks Persist Despite Mitigating Factors
Counterarguments emphasizing diversification, alternative technologies, and the export reprieve overlook persistent structural vulnerabilities in the supply chain. Although MediaTek sources RF modules from multiple suppliers, GaAs wafer dependencies remain acute due to China's >90% dominance in global gallium production, creating concentrated exposure points.[5] Inventory buffers and long-term contracts may absorb initial shocks, but sustained price escalation—from 420 USD/kg to 450 USD/kg for gallium between December 2025 and February 2026—forces renegotiations or supplier margin erosion, disrupting production cadences.[2] Upstream constraints propagate downstream through extended lead times or cost pass-through, even with the reprieve to late 2026, as market uncertainty fuels volatility.[6]
Historical cases reinforce this transmission risk. China's 2023 gallium and germanium export restrictions caused RF component shortages and 15-20% cost hikes in smartphone SoCs for fabless designers like Qualcomm, with effects persisting for months despite diversification.[7] Similarly, the 2019 Japan-South Korea controls on fluorinated polyimides and photoresists halted Samsung's memory chip production for weeks, illustrating policy-induced ripples through semiconductor tiers.[1] Here, the risk traces a precise path: China's gallium export pause elevates arsenic ore processing costs, compressing GaAs wafer margins and prompting 2-4 week delays or surcharges to RF front-end fabricators; these flow to RF module assemblers, bottlenecking smartphone chip production where MediaTek integrates GaAs-based RF for high-volume mid-range devices—cumulatively impacting the firm within 8 weeks amid constrained global capacity.[3]
### Balanced Assessment: Moderate Cost Risk Ahead
China's temporary suspension of export restrictions on gallium, germanium, antimony, and superhard materials to the U.S. through November 2026 averts immediate supply disruptions for MediaTek but fails to shield against cost pressures cascading through the semiconductor value chain.[5] As a fabless designer, MediaTek avoids direct raw material sourcing, yet its dependence on GaAs-based RF front-end components in mid-tier smartphone chips generates material indirect exposure.[1] China's >90% control of global gallium output amplifies this vulnerability, with spot prices climbing from 420 USD/kg to 450 USD/kg (December 2025–February 2026) triggering a cost cascade via arsenic ore, GaAs wafers, RF components, and modules—reaching MediaTek within 8 weeks.[2]
Supplier contracts, inventories, and SOI/CMOS substitutions temper the impact, but precedents like the 2023 controls—imposing 15-20% SoC cost surges on Qualcomm—highlight enduring margin pressures from concentrated upstreams.[7] The reprieve postpones but does not erase risks, given persistent uncertainty and scant non-Chinese capacity.[6] Absent outright shortages before late 2026, MediaTek confronts moderate cost risk from inelastic dependencies and supply chain pass-through mechanics.[3]
The above event tracking and supply chain risk analysis for Samsung Electronics are not conducted manually, but are automatically generated by SupplyGraph.ai's data Agents under the SCRT (Supply Chain Risk Trace) framework.
### **Drowning in fragmented risk signals—how do you make sense of them?**
SCRT simplifies millions of risk events, across languages and networks, into focused, actionable alerts for your business. Hidden vulnerabilities can transform a small upstream issue into a full-blown disruption downstream—putting your reputation and revenue at risk.
### **How does a distant event become your supply chain problem?**
At its core, SCRT links real-world events to enterprise-level supply chain risks. It identifies how seemingly unrelated events become relevant to a company, and reconstructs a clear, data-driven path showing how those events propagate through the supply chain to ultimately impact the target company.
Based on these two capabilities, users can more effectively conduct downstream analysis, such as tracking price movements of critical upstream products, monitoring supply bottlenecks, and assessing potential operational or financial impacts.
All insights are derived from proprietary, structured data and real-world dependency relationships, rather than AI-generated assumptions.
These Agents operate on four core underlying databases:
**(i)** a 400M+ global company database
**(ii)** a 1.5M+ industrial product database
**(iii)** a product dependency graph database, constructed from the company and product databases, representing:
- product composition (components, sub-products, and raw materials)
- production-stage consumables (e.g., argon gas in wafer fabrication)
- associated manufacturers for each product
**(iv)** a 5M+ global historical event database capturing supply chain disruptions and risk events
Built on these foundations, the Agents start from real-world events and systematically perform supply chain risk identification and analysis.
## Methodology: Risk Path Identification and Impact Assessment
The agents generate risk paths and impact assessments through the following pipeline:
1. Learning patterns from historical supply chain disruption events
2. Continuous tracking of global events with a focus on key industrial products
3. Matching real-time events with historical cases to identify risks affecting **MediaTek**
4. Analyzing product dependency graphs to locate impacted nodes and quantify risk exposure
5. Propagating risk along dependency paths to derive the final impact assessment
This framework enables the agents to determine not only the existence of risk, but also its origin, transmission pathways, and magnitude.
## Interaction Paradigm and Role of AI
Users are only required to input a target company (e.g., **MediaTek**), after which the data agents autonomously execute the full analytical pipeline.
Risk identification is grounded in real-world events.
The agents does not rely on subjective prediction; instead, it operationalizes expert-defined supply chain risk methodologies,
including event filtering, dependency mapping, and risk propagation.
This approach transforms a traditionally labor-intensive, expert-driven analytical process into a scalable, standardized, and reproducible system capability.
MediaTek Profile
MediaTek is a leading global fabless semiconductor company that provides cutting-edge system-on-chip solutions for wireless communications, high-definition television, handheld mobile devices, navigation systems, consumer multimedia products, and more. Headquartered in Taiwan, MediaTek is known for its innovative technologies and plays a significant role in the global electronics supply chain.
SupplyGraph.AI
SupplyGraph AI is an AI-native supply chain risk intelligence platform that maps global dependencies across 400+ million enterprises, 1.5 million industry products, and 5 million product dependency nodes.
Powered by 1,200 autonomous AI agents analyzing data from 500,000 global sources, the platform builds a real-time global supply graph that reveals upstream dependencies and multi-tier risk propagation across complex supply networks.