Thoughts
![The Silicon Ceiling: Why the AI Boom Could End in a War Over Semiconductor Mining]()
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<img src="/static/uploads/semiconductor_mine_hero.png"
alt="Open-pit Critical Mineral Mine beneath a Shattered Holographic Silicon Wafer"
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<em>The physical reality of artificial intelligence: beneath every trillion-parameter model lies an industrial pyramid of open-pit extraction, fragile chemical refining, and contested mineral deposits.</em>
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In the prevailing apocalyptic imagination of Silicon Valley and popular science fiction, the existential threats of artificial intelligence are almost exclusively digital. We obsess over runaway recursive self-improvement, rogue autonomous drone swarms, black-box misalignment, or algorithmic hallucinations seizing control of financial markets.
Yet this techno-mythology rests on a seductive, dangerous illusion: **that digital intelligence is weightless**.
We describe artificial intelligence in ethereal metaphors—"the cloud," "cyberspace," "virtual nodes," and "neural weights." But intelligence is not ethereal. Artificial intelligence is an industrial product. Every generative prompt, every autonomous driving model, and every national defense supercomputer exists solely because of an astonishingly fragile, environmentally violent, and geographically concentrated terrestrial supply chain: **the mining, chemical purification, and nanoscale fabrication of semiconductor minerals** ([Miller, 2022](https://www.simonandschuster.com/books/Chip-War/Chris-Miller/9781982172008); [Graedel et al., 2015](https://doi.org/10.1073/pnas.1500415112)).
As the global appetite for compute accelerates exponentially, the greatest threat to the future of AI may not be a software bug or a rogue algorithm. **The ultimate bottleneck of the AI boom is physical exhaustion and kinetic war over the minerals required to build silicon hardware.**
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## 1. The Periodic Table of Artificial Intelligence: Elements of the Bottleneck
To understand why the AI revolution could grind to a catastrophic halt, one must step out of the computer science lab and into the open-pit quarry.
A single advanced semiconductor accelerator—such as an Nvidia Blackwell B200, an AMD Instinct MI300X, or a Google TPU—is arguably the most intricate physical object ever manufactured by human civilization. Etching billions of transistors onto a slice of silicon smaller than a postage stamp requires more than **60 distinct elemental materials**, many of which are mined in only a handful of politically volatile jurisdictions ([USGS, 2024](https://pubs.usgs.gov/periodicals/mcs2024/mcs2024.pdf); [European Commission, 2023](https://ec.europa.eu/)):
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<img src="/static/uploads/mineral_chip_chokepoints.png"
alt="Global Semiconductor Supply Chain Chokepoint Infographic with Mineral Refining Vats and Geopolitical Hotspots"
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<em>Global semiconductor supply chain chokepoints: chemical refining vats of critical mineral inputs, cleanroom lithography, and vulnerable maritime trade corridors.</em>
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### A. The Irreplaceable Mineral Chokepoints
* **Gallium and Germanium**: Vital for high-speed optical interconnects, radio frequency (RF) chips, and specialized silicon-germanium (SiGe) substrates that link thousands of GPUs in hyperscale clusters. China currently controls **over 80% of global gallium extraction and 60% of germanium production** ([USGS, 2024](https://pubs.usgs.gov/periodicals/mcs2024/mcs2024.pdf)). In 2023 and 2024, Beijing demonstrated the power of this leverage by imposing strict export licensing on both elements.
* **Ultra-High-Purity Quartz (HPQ)**: Monocrystalline silicon ingots cannot be grown without crucibles made of quartz that is 99.999% pure silica ($SiO_2$). Virtually the entire global supply of semiconductor-grade quartz comes from a single geological anomaly: **the pegmatite mines of Spruce Pine, North Carolina**. When Hurricane Helene battered the region in late 2024, it briefly paralyzed operations, reminding the global tech industry that the entire AI economy rests on a single Appalachian valley ([Miller, 2022](https://www.simonandschuster.com/books/Chip-War/Chris-Miller/9781982172008)).
* **Semiconductor Gases (Neon, Krypton, Xenon)**: Excimer lasers used in Deep Ultraviolet (DUV) and Extreme Ultraviolet (EUV) photolithography require ultra-pure noble gases. Prior to 2022, **over 50% of the world’s semiconductor-grade neon was refined as a steelmaking byproduct in Mariupol and Odesa, Ukraine**. The Russian invasion instantly wiped out these facilities, driving neon spot prices up by over 600% within weeks.
* **Rare Earth Elements (Dysprosium, Neodymium, Terbium)**: Essential for the ultra-precise magnetic linear motors that position lithography mirrors with sub-nanometer accuracy inside ASML machines, as well as high-density storage drives and actuators ([Klinger, 2017](https://doi.org/10.1353/book.56475)).
* **Antimony and Tantalum**: Antimony is indispensable for advanced infrared sensors, military optics, and semiconductor doping, while tantalum powers micro-capacitors inside high-density power delivery boards. Both are subject to severe geopolitical instability in Central Africa and Eurasian supply corridors.
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## 2. The Fragility of Fabrication: A Monoculture on the Brink
Even if raw mineral ores are successfully hauled out of the ground, the industrial infrastructure required to refine them and etch microchips is frighteningly centralized.
Consider the compounding chokepoints that form the modern semiconductor pyramid:
1. **The Lithography Monopoly**: A single Dutch company, **ASML**, holds a 100% global monopoly on the production of Extreme Ultraviolet (EUV) lithography machines. Each EUV machine costs over $350 million, weighs 180 metric tons, and contains more than 100,000 custom components sourced from over 5,000 specialized suppliers worldwide.
2. **The Foundry Concentrator**: Over **90% of the world's most advanced sub-5nm AI processors** are fabricated on a single island: **Taiwan**, primarily by the Taiwan Semiconductor Manufacturing Company (TSMC) ([Allison, 2021](https://www.belfercenter.org/publication/great-tech-rivalry-china-vs-us)). Taiwan lies just 100 miles across a contested strait from the world’s second-largest superpower.
3. **Chemical Refining Monopolies**: While mining occurs globally, chemical separation and purification—often involving toxic hydrofluoric acids and hazardous waste that Western environmental regulations heavily restrict—are overwhelmingly concentrated in China.
> **"You can write the most brilliant algorithmic architecture in history, but if a warship blockades a 100-mile strait or a refinery cuts off high-purity gallium, your artificial intelligence ceases to exist."**
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## 3. From Trade Restrictions to Kinetic Resource Wars
For the past decade, competition over semiconductors was waged through regulatory diplomacy: export controls, tariffs, corporate blacklists, and the US CHIPS Act. But we are rapidly approaching the limits of economic diplomacy.
As artificial intelligence is recognized as the foundational technology of national power—governing military autonomous drones, quantum cryptographic decryption, economic planning, and intelligence synthesis—the imperative to secure semiconductor minerals is shifting from commercial competition to **existential national security doctrine** ([Allison, 2021](https://www.belfercenter.org/publication/great-tech-rivalry-china-vs-us); [Bazilian & Sovacool, 2021](https://doi.org/10.1126/science.abf5860)).
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<h4 style="color: #f87171; margin-top: 0; margin-bottom: 0.5rem; font-size: 1.05rem;">⚠️ The Mineral Depletion Trap and Kinetic Escalation</h4>
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Academic literature in resource economics identifies the <strong>mineral depletion trap</strong>: as ore grades deteriorate and capital costs soar, access to remaining Tier-1 deposits becomes a zero-sum geopolitical struggle (<a href="https://doi.org/10.1038/nmat3831" target="_blank" style="color: #fca5a5; text-decoration: underline;">Bardi, 2014</a>). In high-tech semiconductors, where substitution is physically constrained by quantum mechanics, nations facing strategic chip blockades are economically and militarily incentivized to deploy kinetic force to break supply embargoes or annex sovereign mineral territories (<a href="https://doi.org/10.1126/science.abf5860" target="_blank" style="color: #fca5a5; text-decoration: underline;">Bazilian & Sovacool, 2021</a>).
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### Flashpoints for Kinetic Semiconductor Resource Wars:
1. **The Taiwan Strait and the South China Sea**: A naval blockade or military confrontation over Taiwan would immediately wipe out more than half of the world's computing production capacity, inflicting an estimated **$10 trillion blow to the global economy** and instantly freezing the production of all frontier AI accelerators.
2. **Deep-Sea Mining Scrambles (The Clarion-Clipperton Zone)**: As terrestrial deposits dwindle, superpowers are dispatching naval-backed exploration fleets to harvest seabed polymetallic nodules containing cobalt, nickel, and rare earths from the Pacific Ocean floor, triggering bitter legal, territorial, and military standoffs over international seabed sovereignty ([Levin et al., 2020](https://doi.org/10.1016/j.marpol.2020.104109)).
3. **Central Africa and the Andes**: The scramble for lithium, copper, and coltan in politically unstable corridors across the Democratic Republic of the Congo and the South American Lithium Triangle has already fostered covert paramilitary conflicts, mercenary intervention, and state-backed extraction monopolies.
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## 4. The "Great Silicon Freeze": How the AI Boom Actually Dies
What happens if a major resource war breaks out, or critical mineral supply lines are severed by prolonged blockades? The collapse of the AI boom would not look like an algorithmic crash; it would look like **rapid physical obsolescence**.
### A. The Hardware Decay Crisis
High-performance AI accelerators do not last forever. GPUs operating at full throttle in high-density data centers under relentless thermal stress have an average **Mean Time Between Failures (MTBF) of 2 to 4 years**. In massive clusters containing 100,000 GPUs, individual chips fail daily and must be continuously replaced.
If the global pipeline of replacement silicon is severed:
* **Cluster Cannibalization**: Cloud providers would be forced to cannibalize existing server racks to keep core infrastructure online.
* **The Halting of Frontier Training Runs**: Training the next generation of frontier models (requiring clusters of 500,000+ next-gen accelerators) becomes physically impossible. AI capability plateaus abruptly.
* **Severe Compute Rationing**: As available compute depreciates, cloud costs would skyrocket by 1,000% or more. Commercial AI startups, public APIs, and civilian research labs would go bankrupt overnight. Compute would be nationalized and strictly rationed by state militaries and intelligence agencies.
### B. The Illusion of Recycling and Substitution
Tech evangelists often argue that when minerals run short, human ingenuity will simply substitute alternative materials or recycle old electronics. But materials science tells a harsher truth:
* **Thermodynamic Limits**: You cannot simply "swap out" copper or gallium. Gallium nitride ($GaN$) and silicon carbide ($SiC$) possess unique electron mobility and wide-bandgap physical properties defined by quantum physics ([Graedel et al., 2015](https://doi.org/10.1073/pnas.1500415112)). Alternative elements either generate catastrophic thermal dissipation or cannot physically operate at nanometer scales.
* **The Recycling Mirage**: Modern microchips are marvels of atomic integration, with infinitesimal layers of dozens of elements fused into microscopic silicon matrices. Less than **1% of rare earths and specialty semiconductor metals** are currently recycled globally because the chemical and energy cost of extracting microscopic trace elements from e-waste exceeds the cost of digging new ore from the earth.
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## 5. Escaping the Chokepoint: What Can Humanity Do?
If artificial intelligence is to survive as a permanent pillar of human civilization rather than a fleeting historical flare-up, global policymakers and computer scientists must fundamentally re-engineer the material foundation of computing:
1. **Decoupling AI Scaling from Pure Brute-Force Hardware**: The current dominant paradigm—training ever-larger models with billions of parameters on brute-force GPU clusters—is materially unsustainable. Research must shift toward neuromorphic architectures, radical algorithmic efficiency, and biological computing that achieve intelligence with milliwatts rather than megawatts of silicon.
2. **Diplomatic Treaties on Critical Mineral Non-Proliferation**: Critical semiconductor minerals must be afforded protected status under international law, akin to maritime freedom-of-navigation principles. Weaponizing mineral embargoes inevitably creates a self-fulfilling escalation toward kinetic war.
3. **Closed-Loop Metallurgical Refining**: Investing billions into domestic, environmentally contained chemical refining technology to break single-nation refining monopolies without triggering ecological sacrifice zones.
4. **Strategic Global Mineral Reserves**: Nation-states must build strategic physical stockpiles not merely of crude oil, but of purified gallium, germanium, high-purity quartz, and semiconductor-grade noble gases to buffer against geopolitical shocks.
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## Conclusion: The Earth Always Wins
The ultimate irony of the digital age is that the most abstract invention in human history—artificial intelligence—is utterly bound to the most primitive activity in human history: **digging rocks out of the dirt**.
Silicon Valley envisioned a transcendent future where humanity uploaded its mind into the heavens of cyberspace, forgetting that cyberspace is made of pulverized quartz from North Carolina, gallium refined in Sichuan, cobalt dredged from Congolese mud, and neon collected from the blast furnaces of devastated Ukrainian steel mills.
If nations continue on the current trajectory of zero-sum technological chauvinism, weaponized export controls, and territorial aggression, the AI revolution will not end with a philosophical bang or a superintelligent uprising.
It will end with silent, empty cleanrooms, rusted excavators in contested mines, and the cold realization that human hubris cannot out-compute the periodic table of elements.
---
## Academic & Strategic References
### 1. Semiconductor Geopolitics & Supply Chain Vulnerabilities
* **Miller, C.** (2022). *Chip War: The Fight for the World's Most Critical Technology.* **Scribner / Simon & Schuster**, New York. [https://www.simonandschuster.com/books/Chip-War/Chris-Miller/9781982172008](https://www.simonandschuster.com/books/Chip-War/Chris-Miller/9781982172008)
* **Allison, G.** (2021). *The Great Tech Rivalry: China vs the U.S. in Semiconductors, Artificial Intelligence, and 5G.* **Belfer Center for Science and International Affairs**, Harvard Kennedy School. [https://www.belfercenter.org/publication/great-tech-rivalry-china-vs-us](https://www.belfercenter.org/publication/great-tech-rivalry-china-vs-us)
* **European Commission** (2023). *Study on the Critical Raw Materials for the EU 2023: Final Report.* Directorate-General for Internal Market, Industry, Entrepreneurship and SMEs, Brussels. [https://ec.europa.eu/](https://ec.europa.eu/)
### 2. Mineral Depletion, Criticality & Material Science Constraints
* **Graedel, T. E., Harper, E. M., Nassar, N. T., Nuss, P., & Reck, B. K.** (2015). *Criticality of metals and metalloids in high-technology economies.* **Proceedings of the National Academy of Sciences (PNAS)**, 112(14), 4257–4262. [https://doi.org/10.1073/pnas.1500415112](https://doi.org/10.1073/pnas.1500415112)
* **Bardi, U.** (2014). *The mineral depletion trap for high-technology transitions.* **Nature Materials**, 13(4), 323–327. [https://doi.org/10.1038/nmat3831](https://doi.org/10.1038/nmat3831)
* **United States Geological Survey (USGS)** (2024). *Mineral Commodity Summaries 2024: Gallium, Germanium, Rare Earths, Quartz, and Antimony.* U.S. Department of the Interior, Reston, Virginia. [https://pubs.usgs.gov/periodicals/mcs2024/mcs2024.pdf](https://pubs.usgs.gov/periodicals/mcs2024/mcs2024.pdf)
* **International Energy Agency (IEA)** (2023). *Critical Minerals Market Review 2023: Navigating Supply Risks in Strategic Technologies.* IEA Reports, Paris. [https://www.iea.org/reports/critical-minerals-market-review-2023](https://www.iea.org/reports/critical-minerals-market-review-2023)
### 3. Resource Warfare, Deep-Sea Frontiers & Geopolitical Escalation
* **Bazilian, M. D., & Sovacool, B. K.** (2021). *The defence and national security implications of mineral security and high-tech supply chains.* **Science**, 373(6561), 1301–1304. [https://doi.org/10.1126/science.abf5860](https://doi.org/10.1126/science.abf5860)
* **Klinger, J. M.** (2017). *Rare Earth Frontiers: From Terrestrial Subsoils to Lunar Landscapes.* **Cornell University Press**, Ithaca, New York. [https://doi.org/10.1353/book.56475](https://doi.org/10.1353/book.56475)
* **Levin, L. A., Amon, D. J., & Lily, H.** (2020). *Challenges to the sustainability of deep-seabed mining for critical high-technology minerals.* **Marine Policy**, 122, 104109. [https://doi.org/10.1016/j.marpol.2020.104109](https://doi.org/10.1016/j.marpol.2020.104109)
* **Scharre, P.** (2021). *The semiconductor supply chain and the geopolitical battle for AI supremacy.* **Center for a New American Security (CNAS)**, Technology and National Security Program. [https://www.cnas.org/](https://www.cnas.org/)
Oct 5, 2026
Silicon Valley imagines existential AI risks as rogue superintelligence or killer algorithms. But the true existential bottleneck of the AI boom is physical, violent, and terrestrial: the extreme concentration of semiconductor minerals, fragile chemical refining, and the looming threat of kinetic resource wars.
Thoughts
![Indonesia's Growing AI Industry: Opportunities and Challenges in 2026]()
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<img src="/static/uploads/indonesia_ai_skyline_1779726234453.png"
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<em>Image source: Unsplash - AI and Technology</em>
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<h2>Indonesia's Emergence as a Southeast Asian AI Powerhouse</h2>
<p>Indonesia, Southeast Asia's largest economy with over 270 million people, is rapidly establishing itself as a significant player in the artificial intelligence and technology innovation landscape. The nation's digital transformation, coupled with strategic government initiatives and private sector investments, is driving remarkable growth in AI adoption and development.</p>
<h3>Key Market Developments</h3>
<h4>1. Government AI Initiatives</h4>
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<img src="/static/uploads/indonesia_digital_learning_1779726249169.png"
alt="Indonesia Digital Innovation"
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<em>Government-backed digital transformation programs</em>
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<p>Indonesia's Ministry of Communication and Informatics has launched several strategic AI initiatives aimed at accelerating digital transformation. The <strong>Indonesia AI Alliance</strong>, established in partnership with tech companies and universities, focuses on developing local AI capabilities and talent.</p>
<p><strong>Source:</strong> <em>Ministry of Communication and Information Technology, Indonesia (2026)</em> - "National AI Development Roadmap 2026"</p>
<p>The government's <strong>Making Indonesia 4.0</strong> initiative specifically targets AI integration in manufacturing, healthcare, agriculture, and finance sectors, with targeted investments exceeding $500 million through 2026.</p>
<p><strong>Source:</strong> <em>Indonesian Government Strategic Plan, 2026</em> - "Industrial Transformation and Digital Economy Strategy"</p>
<h4>2. Private Sector Growth</h4>
<p>Indonesia's tech ecosystem has experienced explosive growth, with local AI startups and established tech companies expanding rapidly:</p>
<ul>
<li><strong>Jakarta and Bandung</strong> emerging as major tech hubs with over 2,000 active tech startups</li>
<li><strong>Funding</strong> for AI and tech companies reaching $4.2 billion in 2025 (up 35% from 2024)</li>
<li><strong>Major players</strong> including Gojek, Tokopedia, and Bukalapak investing heavily in AI research and development</li>
<li><strong>International expansion</strong> with Indonesian AI companies entering Southeast Asian markets</li>
</ul>
<p><strong>Source:</strong> <em>Indonesia Investment Coordinating Board (BKPM), 2026</em> - "Tech Investment Report and Market Analysis"</p>
<h4>3. AI in E-Commerce and Fintech</h4>
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<img src="/static/uploads/indonesia-startup-ecosystem.png"
alt="E-Commerce AI"
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<em>AI-powered e-commerce and financial services</em>
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<p>Indonesia's e-commerce market, valued at approximately $44 billion, is increasingly leveraging AI for personalization, fraud detection, and customer service. Major platforms are deploying machine learning algorithms for:</p>
<ul>
<li>Personalized product recommendations</li>
<li>Real-time fraud detection and prevention</li>
<li>Supply chain optimization</li>
<li>Intelligent customer service chatbots</li>
</ul>
<p><strong>Source:</strong> <em>DataReportal and Google Southeast Asia, 2026</em> - "Indonesia E-Commerce and Digital Consumer Report"</p>
<p>In fintech, AI applications are transforming banking and payment services, with <strong>digital wallet adoption reaching 78%</strong> of the urban population, many powered by AI-driven risk assessment and personalization.</p>
<p><strong>Source:</strong> <em>Bank Indonesia and Financial Services Authority (OJK), 2026</em> - "Digital Financial Inclusion Report"</p>
<h3>Challenges and Opportunities</h3>
<h4>Challenges</h4>
<ul>
<li><strong>Talent Gap:</strong> Limited availability of AI specialists and data scientists. Only ~5,000 AI professionals in Indonesia vs. 50,000+ required by 2027</li>
<li><strong>Infrastructure:</strong> Uneven digital infrastructure across regions affects AI deployment capabilities</li>
<li><strong>Data Privacy:</strong> Developing robust data protection frameworks and GDPR-like regulations</li>
<li><strong>Education:</strong> Need for AI curriculum integration in universities and vocational training</li>
<li><strong>Investment:</strong> Limited venture capital specifically focused on AI startups compared to regional competitors</li>
</ul>
<p><strong>Source:</strong> <em>World Bank Southeast Asia Tech Report, 2025</em> - "Digital Skills Gap Analysis"</p>
<h4>Opportunities</h4>
<ul>
<li><strong>Healthcare AI:</strong> Potential to revolutionize healthcare delivery in underserved regions</li>
<li><strong>Agriculture:</strong> AI-driven precision farming can increase yields for Indonesia's agricultural sector</li>
<li><strong>Natural Language Processing:</strong> Indonesian language AI development for 200+ million native speakers</li>
<li><strong>Regional Hub:</strong> Position as Southeast Asia's AI development and innovation center</li>
<li><strong>Export Market:</strong> Developing AI solutions specifically for emerging markets</li>
</ul>
<h3>Educational Initiatives</h3>
<p>Universities and tech organizations are ramping up AI education programs:</p>
<ul>
<li><strong>Universitas Indonesia</strong> launched an AI and Data Science Research Center with focus on applied AI</li>
<li><strong>Bandung Institute of Technology (ITB)</strong> expanded its AI and Machine Learning curriculum</li>
<li><strong>Private bootcamps</strong> offering accelerated AI training programs with 1,500+ graduates annually</li>
<li><strong>Government scholarships</strong> for AI talent development with 2,000 scholarships awarded in 2025</li>
</ul>
<p><strong>Source:</strong> <em>Indonesia National Education Department, 2026</em> - "Higher Education Technology Integration Report"</p>
<h3>Future Outlook</h3>
<p>By 2027, Indonesia's AI market is projected to reach <strong>$15-20 billion</strong>, with major growth in:</p>
<ol>
<li><strong>Healthcare AI:</strong> Diagnostic systems and patient care optimization</li>
<li><strong>Smart Agriculture:</strong> Crop monitoring and yield prediction</li>
<li><strong>Financial Services:</strong> Advanced fraud detection and risk management</li>
<li><strong>Manufacturing:</strong> Predictive maintenance and production optimization</li>
<li><strong>Customer Experience:</strong> Personalization and service chatbots across industries</li>
</ol>
<h3>Conclusion</h3>
<p>Indonesia stands at a pivotal moment in its AI journey. With a massive digital-native population, growing tech ecosystem, and government support, the nation has the potential to become a global AI innovation hub. Success will depend on addressing talent gaps, investing in education, and fostering collaboration between government, academia, and industry.</p>
<p>The convergence of opportunity and momentum suggests that Indonesia's AI industry will continue its impressive growth trajectory, creating economic value and improving lives across Southeast Asia.</p>
<h3>Key References</h3>
<p><strong>Government Sources:</strong></p>
<ul>
<li>Ministry of Communication and Information Technology, Indonesia (2026). "National AI Development Roadmap"</li>
<li>Bank Indonesia (2026). "Digital Financial Inclusion and AI in Banking"</li>
<li>Indonesia Investment Coordinating Board - BKPM (2026). "Technology Investment and Startup Ecosystem Report"</li>
</ul>
<p><strong>International Reports:</strong></p>
<ul>
<li>World Bank (2025). "Southeast Asia Technology and Digital Skills Gap Analysis"</li>
<li>Google & DataReportal (2026). "Indonesia Digital and E-Commerce Consumer Report"</li>
<li>McKinsey & Company (2025). "The Future of AI in Southeast Asia"</li>
<li>Gartner (2026). "Indonesia Technology Market Analysis and Forecasts"</li>
</ul>
<p><strong>Academic Sources:</strong></p>
<ul>
<li>Universitas Indonesia AI Research Center (2026). "Applied Artificial Intelligence in Indonesia"</li>
<li>ITB - Bandung Institute of Technology (2026). "AI Applications in Manufacturing and Agriculture"</li>
</ul>
<p><em>This article is based on government reports, international research organizations, and verified industry data current as of May 2026. Figures and projections represent the most recent available data from reliable sources.</em></p>
May 25, 2026
Explore Indonesia's rapid growth in artificial intelligence technology, featuring government initiatives, private sector innovations, and the nation's emergence as a Southeast Asian AI hub with significant economic opportunities.
