South Korea

Intelligence for Better Decision Making

TSMC and Samsung Accelerate 2 nm Chip Production Amid Intensifying AI Market Demand
Dec. 2, 2025 | Technology & Innovation

Leading semiconductor manufacturers are boosting production capacity and deploying advanced chip technologies to meet growing AI and high-performance computing demands.

**TSMC is ramping up its 2-nanometer fabrication capacity from seven to ten fabs in the Southern Taiwan Science Park, fueled by a roughly NT$900 billion investment.**
Surging demand for AI and high-performance computing chips—especially GPUs and CPUs for AI servers—drives the company to target requirements of the early 2030s. About 70 percent of TSMC’s US$40–42 billion capital expenditure in 2025 will go to advanced 2 nm and 3 nm processes. Domestic political pressures reinforce TSMC’s decision to keep its most advanced production facilities in Taiwan.

**Despite this ramp-up, supply constraints and higher pricing challenge TSMC’s 2 nm business.**
Its 2 nm chips cost at least 50 percent more than 3 nm devices, prompting some fabless companies to explore alternative suppliers. Samsung stands to gain customers seeking leading-edge production that offers more favorable pricing or availability.

**Samsung Electronics reports that its 2 nm process yields have climbed to 55–60 percent, approaching the level needed for viable mass production.**
Tesla, under a long-term contract for next-generation AI5 and AI6 chips, and Samsung’s own Exynos 2600 mobile application processor serve as key validation platforms to further boost yields. Samsung plans to start full-scale 2 nm manufacturing at its new Taylor, Texas, facility and integrate the technology into its flagship Galaxy S26 smartphone in 2026.

**Alongside its 2 nm efforts, Samsung has merged its dedicated high-bandwidth memory (HBM) development task force into the broader DRAM Development Office, consolidating process, design, and advanced packaging functions.**
This reorganization supports a unified memory strategy focused on HBM4 and HBM4E production and aligns with the upcoming Pyeongtaek P5 “AI mega fab.” That facility will co-locate HBM4/5 production alongside 3 nm and 2 nm foundry operations and advanced packaging, with the HBM design team centrally connecting foundry and packaging activities.

**Over the next two to three years, TSMC and Samsung will intensify their competition around production capacity, process yields, design support, pricing, and infrastructure development.**
The result of this contest will shape availability and costs of leading-edge semiconductor technologies, particularly in AI and high-bandwidth memory applications.
OpenAI’s High-Stakes Expansion Amid Surging AI Integration and Intensifying Competition
Dec. 2, 2025 | Competitiveness

The rapid evolution of artificial intelligence is transforming industries from search to education and testing the resilience of major developers.

**Since marking its third anniversary, ChatGPT has deepened AI integration across search, translation, coding, customer service and education.**
AI has emerged as a transformative platform that reshapes industrial structures and work dynamics. OpenAI, the developer of ChatGPT, confronts rising operational costs, fierce global competition and ongoing controversies over user safety and ethics.

**OpenAI has funded its rapid growth with massive investments in large-scale data centers and aggressive expansion strategies, yet it continues to run a substantial deficit.**
HSBC predicts annual revenue will climb from $12.5 billion in 2025 to $213.6 billion by 2030, while operating losses may widen to $76.5 billion. Key cost drivers include a revenue-sharing agreement with Microsoft, high costs of goods sold, extensive research and development expenditures and significant administrative expenses. Contracts with Microsoft and Amazon for cloud computing capacity total $250 billion and $38 billion, respectively, and could reach a cumulative $1.8 trillion. As infrastructure builds accelerate, annual data center rental costs could approach $620 billion.

**To support projected demand, OpenAI plans to invest $18 billion in the Stargate Project, partnering with SoftBank and Oracle to build five new AI data centers and secure 250 GW of capacity by 2033.**
Achieving financial sustainability depends on growing the user base to roughly 3 billion by 2030 to offset soaring infrastructure and operational expenses. Nvidia GPU–based servers require substantial power and physical space, further intensifying cost pressures.

**Competition in the AI sector is intensifying as rivals develop alternative hardware and models.**
Google is preparing Gemini 3, which will run on its proprietary Tensor Processing Units and aim to outperform GPU-based systems in speed, energy efficiency and multimodal tasks. Meta is reportedly evaluating Google’s TPUs over Nvidia GPUs. Industry experts expect future competition to hinge more on data center architecture, power efficiency and cost-effective computation than on model accuracy alone, making OpenAI’s reliance on Nvidia GPUs a potential vulnerability.

**OpenAI also faces controversies around user safety and content moderation.**
Lawsuits claim ChatGPT content contributed to harmful outcomes, including a teenage suicide; OpenAI rejects legal responsibility but acknowledges inherent risks in human-AI interactions. After its GPT-4–powered Kuma AI teddy bear provided inappropriate information to minors, OpenAI suspended the product. Meanwhile, the company plans to introduce adult content features with age and identity verification, a strategy analysts link to efforts to diversify revenue through premium subscription tiers.

Monitored Intelligence for South Korea - Dec. 3, 2025


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Erudite Risk takes an all risks approach to intelligence reporting. We categorize key intelligence into one of 40 different risk intelligence categories.

The goal is to provide intelligence that allows decision makers to avoid being blindsided by what they may have missed, while informing them to make better decisions as well.

Risk Categories Reported on Today

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Items Reported On
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8
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8
Regulation
20
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2
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16
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2
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2
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2
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5
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4
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1
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3
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2
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1
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1
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1
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1
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1
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1

Erudite Risk also includes operations categories so you can monitor the environment for better decision making. Everything is tied together--what happens in risk affects operations and what happens in the market impacts risk profiles.

We categorize key intelligence into one of 30 different operations intelligence categories.

Different roles and functions within the organization can monitor different key issue areas. HR may monitor employment, wages, regulations, labor and management relations, etc., while P&L leaders may monitor overall developing trends.

Operations Categories Reported on Today

Operations Category
Items Reported On
Bizdev-Partnering
11
Employment
3
Real Estate
2
Budgets-Budgeting
7
Operating Results
9
Tech Development/Adoption
23
Inflation
7
Energy Prices
1
Legal Exposure
1
Investor Sentiment
1
Asset Price Change
8
Trade Issues and Numbers
4
Economic Growth
1
Financial System Problems
1
Wages and Compensation
1

"학급 폐쇄 학교 속출"…日 독감 환자 급증에 초비상

Class closures surge as Japan faces an influenza patient spike causing extreme alarm

Hankyung | Local Language | News | Dec. 3, 2025 | Epidemics and Pandemics

Japan is experiencing a significant surge in influenza cases, leading to widespread class closures in schools. Between November 17 and 23, the average number of influenza patients per surveyed hospital reached 51.1, marking a 14th consecutive week of increase. One hospital in Tokyo’s Minato ward reported treating over 100 influenza patients in a single week. Health officials are urging unvaccinated individuals to receive the flu vaccine promptly.

The rise in influenza cases has severely disrupted school operations. During the same week, 6,323 daycare centers, kindergartens, and elementary to high schools closed classes due to increased student infections, a 24-fold increase compared to the same period last year. Parents have reported unprecedented and frequent class closures, with some schools canceling planned activities like school trips. There is inconsistency in the criteria for class closures, with some classes closing with fewer absences than others that remain open.

Class or school closures as a preventive measure are guided by the School Health and Safety Act, but explicit criteria for closures are lacking. Decisions are generally made by school principals, with local governments adopting varying standards based on the percentage of absent students due to influenza—20% in Tokyo and 15% in Osaka, for example. Experts warn that early class closures can help prevent the spread of influenza within communities and are essential for controlling a potential pandemic.

베트남의 2026년 목표 '10% 성장', 시스템 전환이 답이다 [데이비드김의 블라인드 스팟]

Vietnam's 2026 Goal of 10% Growth, System Transformation Is the Answer [David Kim's Blind Spot]

Hankyung | Local Language | News | Dec. 3, 2025 | UndeterminedEconomic Growth

Vietnam has set an ambitious target of 10% GDP growth for 2026, alongside achieving a per capita income of $5,400–$5,500 and controlling inflation at 4.5%. This goal significantly surpasses the expected 8% growth for 2025. The government plans to drive growth through major infrastructure projects and the promotion of high value-added sectors like artificial intelligence and semiconductors. However, concerns remain about the sustainability of growth under the current economic model, with risks stemming from high export dependence and delays in public investment disbursement, which historically remains low.

Looking at China and Korea’s past growth trajectories offers lessons. China achieved nearly 10% average growth between 1990 and 2010, but faced declining investment efficiency due to overinvestment and inefficient capital allocation, especially in state-owned enterprises. Korea’s growth averaged 8.9% from 1961 to 1980, propelled by a focused strategy of selection and concentration on key industries over time, supported by coordinated government policy, targeted capital allocation, rural infrastructure modernization, and investments in education.

Vietnam currently invests heavily in infrastructure relative to GDP, with estimates ranging from 6% to over 10%, yet its capital-output ratio stands at 5.0—higher than comparable Asian countries—indicating low investment efficiency. Public investment, primarily funded by public budgets, suffers from corruption, inadequate project justification, and execution inefficiencies, particularly at the local government level. Examples include rushed projects like the newly opened Tan Son Nhat Airport Terminal 3, which revealed quality issues due to a focus on speed.

Vietnam’s challenges contrast with China’s scale-driven growth and Korea’s strategic industrial policy. Vietnam lacks systems for transparent project selection, monitoring of returns on investment, and effective coordination between government agencies. To achieve the 10% growth target, Vietnam must redesign its investment efficiency system by enforcing mandatory economic feasibility analyses, transparent bidding, and expanding public-private partnerships to attract private capital. It should also implement a Korean-style approach by selecting key industries—such as AI, semiconductors, and greentech—and supporting them through R&D, tax incentives, workforce training, and global partnerships while fostering domestic champions with proprietary brands and technology.

Lastly, building institutional trust through stronger property rights, anti-corruption efforts, law enforcement, and administrative reforms is critical to sustained growth. Recent measures like establishing national and local venture capital funds and enabling crowdfunding within the International Financial Center are positive steps, but their success depends on transparency and execution speed. The article concludes that Vietnam’s 10% growth target is feasible only through fundamental systemic reforms rather than merely increasing inputs.

"콜센터, AI 때문에 사라질 직업 아냐…노란봉투법 때문에 존립 위기"

Call centers are not jobs that will disappear because of AI… Their existence is threatened because of the Yellow Envelope Act

Hankyung | Local Language | News | Dec. 3, 2025 | Regulation

Sohn Young-deuk, chairman of KS Korea Employment Information, explains that AI is supplementing the call center industry by addressing chronic labor shortages rather than replacing jobs. He predicts that within five years, call center counselors will evolve into customer experience (CX) consultants who manage AI systems, leading to salaries more than doubling due to increased expertise and productivity. His company, which developed the AI contact center platform C-Hive, supports a hybrid model where AI handles simple inquiries and human counselors manage complex issues. Despite challenges like strikes and data leaks, KS Korea Employment Information’s sales and profits have grown significantly.

Sohn highlights demand for AI-enabled call centers in sectors such as finance, e-commerce, healthcare, insurance, and public services, where complex and privacy-sensitive inquiries require human expertise supported by AI. He also outlines plans to enter the medical tourism market by creating transparent customer management platforms connecting Chinese patients to Korean hospitals, aiming to reduce broker fees and improve service quality.

However, the survival of call centers is now more threatened by the upcoming Yellow Envelope Act, which requires subcontractor unions to negotiate directly with prime contractors. Sohn warns this could cause principal companies to cut contracts or accelerate AI automation to avoid risk. He recalls a past incident at KS Korea Employment Information’s Chuncheon center, where aggressive union demands, including a 20% wage increase and emotional labor allowances, led to strikes, client loss, and a drastic reduction in employees from 1,000 to 100. While employment has partially recovered, Sohn cautions that similar labor conflicts under the new law could disrupt the industry. He emphasizes the need for labor-management coexistence to navigate the changes brought by AI.

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