What happens when the engines that power the world’s most advanced artificial intelligence sit largely on one island, under the shadow of a rising neighbor? That question landed at the center of a congressional hearing Wednesday that explored why Taiwanese chips are more prized than ever — and why their concentration raises both economic and security alarms.
Taiwan’s semiconductor industry, led by Taiwan Semiconductor Manufacturing Company (TSMC), produces the most advanced commercial logic chips in the world. These chips — enabled by extreme ultraviolet lithography, sub-5-nanometer process nodes and cutting‑edge packaging — are the backbone of modern AI systems, from generative models to high‑performance inference in data centers and edge devices. The hearing underscored a simple fact: as AI models grow larger and more capable, demand for these advanced chips has ballooned, magnifying the strategic value of Taiwan’s fabs.
Background matters. Over the past two decades, semiconductor manufacturing has consolidated: design and fabrication split; fabs concentrated in Taiwan; equipment suppliers clustered in the Netherlands, Japan and the United States. In response to dual-use risks, the U.S., Japan and the Netherlands have tightened export controls on advanced chipmaking tools and know‑how. The U.S. CHIPS and Science Act and allied policies aim to diversify manufacturing, but building leading‑edge capacity takes years and hundreds of billions of dollars.
The current situation is a convergence of technological momentum and geopolitical friction. AI systems require extraordinary compute, and the most efficient way to provide that compute is with the most advanced silicon. Those chips are made in Taiwan. At the same time, Beijing’s military modernization and its explicit ambitions toward Taiwan mean that a supply chain disruption from conflict would have outsized global effects. Add to that the parallel growth in AI‑enabled surveillance, command‑and‑control enhancements, and cyber capabilities, and the risk calculus becomes more complex.
From a technologist’s vantage, the concern is straightforward: model scale and efficiency depend on compute density and power efficiency. “Bigger” models and real‑time edge AI demand chips manufactured at the tightest process nodes. Replicating that capability elsewhere requires not only fabs but the talent, supplier networks and years of process maturation that Taiwan currently provides.
Policymakers see a layered problem. There is a near‑term defensive posture — export controls, semiconductor diplomacy, and military deterrence — and a longer‑term industrial strategy to build redundancy. U.S. and allied measures have sought to slow the transfer of the most advanced chipmaking tools to China while incentivizing domestic and allied production. But those policies trade immediacy for time: building equivalent capacity outside Taiwan cannot be done overnight.
For users — cloud providers, research labs, autonomous‑vehicle makers, and governments — the concentration translates into supply uncertainty and higher costs. Organizations now plan for constrained access to leading‑edge nodes and stagger procurement cycles; some are optimizing software and models to run on older silicon or on specialized accelerators that are easier to produce elsewhere.
Adversaries see opportunities as well as limits. China can leverage abundant commercial AI software and older, but still capable, chips to advance surveillance, decision support and cyber operations. However, for the highest‑end AI workloads and certain sophisticated military systems, reliance on Taiwan’s advanced node manufacturing represents a bottleneck. That dependency, paradoxically, both constrains and incentivizes Beijing. It constrains because obtaining cutting‑edge semiconductor capacity is politically and technically difficult given international export controls. It incentivizes because the strategic value of denying access is attractive in crisis scenarios.
The hearing Wednesday highlighted several concrete vulnerabilities: geographic concentration of fabs in northern and central Taiwan, the tight calendar of chipmaking schedules and the fragility of the logistics and utilities that sustain fabs (power, ultra‑pure water, and high‑precision chemicals). Witnesses described how even short outages can cascade into months‑long delays for production lines optimized to run at near‑full capacity.
/ Supply chain choke points: a handful of suppliers provide specialized equipment and chemicals that are hard to substitute quickly.
/ Human capital: process engineers and equipment specialists are concentrated in Taiwan and take years to train.
/ Geographic risk: civilian infrastructure and military contingency plans in the region amplify the potential for disruption.
International responses are diverse and sometimes contradictory. Washington emphasizes deterrence and economic resilience — strengthening alliances, imposing targeted export controls on semiconductor tools, and subsidizing domestic capacity. Brussels frames its response around technological sovereignty and investment in research. Tokyo and Seoul, with their own advanced industries, face tradeoffs between commercial ties to China and security alignment with the U.S. Each approach accepts some tradeoffs: protectionism can slow innovation; supply‑side controls can spur rival domestic substitutes; and military posturing risks escalation.
Analysts at think tanks and industry veteran engineers often converge on one uncomfortable conclusion: mitigation is a mix of near‑term risk management and long‑term transformation. Near term, governments and companies must harden logistics, expand stockpiles, and develop contingency production plans. Longer term, building diversified capacity — including advanced fabs in the U.S., Europe and allied states, and investments in alternative compute architectures — is essential.
Yet alternatives are imperfect. Software optimization can reduce compute needs, and specialized accelerators (ASICs) can be built with more widely distributed manufacturing, but for many AI breakthroughs the physics and economics still favor the densest silicon. Moreover, building a resilient industrial base requires decades of investment and sustained political commitment across administrations and electoral cycles.
The strategic calculus also includes the moral and normative: many countries worry that militarizing trade in semiconductors will reshape a global research ecosystem that has driven decades of innovation. Some technologists argue for open collaboration to manage risks of runaway military competition; others say that protecting key technologies from authoritarian control is a necessary restraint.
Practical steps now are neither cheap nor simple. They include expanding allied supply chains for lithography and materials; investing in workforce development; accelerating chip design tools that can extract more performance from older nodes; and fortifying the diplomatic and conventional military measures that deter coercion. Each step reduces risk but none eliminates it.
The world is effectively playing a high‑stakes game of technological chicken: AI creates incentives to centralize the most valuable manufacturing where the ecosystem already exists, while geopolitics creates incentives to disperse that capability to reduce vulnerability. How countries and companies balance those incentives will shape both the pace of AI innovation and the contours of global security for years to come.
If the past year’s hearing made one thing clear, it is that chips are not merely commercial inputs; they are strategic assets whose location matters as much as their performance. As policy and industry scramble to lower the odds of a catastrophic supply disruption, the central question remains: can the international community reorder production, fortify deterrence and preserve innovation before a crisis forces a choice none of the parties wants to make?
Source: https://www.defenseone.com/technology/2025/09/what-rapid-pace-ai-means-chinas-threats-toward-taiwan/408220/
