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Intelligence for Better Decision Making
| Domain | Causal Chain | Possible Outcome |
|---|---|---|
| Macroeconomics & Growth | (Semiconductor export boom ↑ → Terms-of-trade index ↑ → Current-account balance (% GDP) ↑ → Potential GDP growth revision ↑ → Real GDP growth ↑) | The enhanced terms of trade and external surpluses will underpin upward revisions to potential output and drive stronger real GDP growth. |
| Macroeconomics & Growth | (Memory chip price surge ↑ → Import-price pass-through ↑ → Headline CPI/Core CPI ↑ → Inflation volatility ↑ → Inflation-targeting credibility ↓) | Rising import-price pass-through and inflation volatility may erode confidence in the central bank’s ability to keep inflation near its 2 percent target. |
| Competitiveness | (Semiconductor export boom ↑ → Trade-openness & preferential access ↑ → Real export market-share change ↑ → High-value-added export share ↑ → Total-factor productivity level vs frontier ↑) | Greater preferential access and high-value trade gains will accelerate productivity convergence toward the global frontier. |
| Macroeconomics & Growth | (DRAM price surge–driven profits ↑ → Capital-formation rate ↑ → Business fixed-investment growth deviation ↑ → Private fixed-investment growth ↑ → Potential GDP growth revision ↑) | Surging profits will finance elevated business investment, prompting analysts to hike potential GDP growth estimates. |
| Macroeconomics & Growth | (Memory chip price surge ↑ → Global-value-chain reconfiguration velocity ↑ → FDI net inflow (% GDP) ↑ → Foreign-owned green-field project count ↑) | Accelerated value-chain shifts will draw substantial FDI and increase foreign-owned greenfield semiconductor projects. |
| Firms | (South Korean PPI inflation ↑ → Supply-chain restructuring cadence ↑ → Supplier-delivery-times index ↓ → End-to-end supply-chain lead-time deviation ↓ → Capacity-utilisation in manufacturing ↑) | Faster supply-chain restructuring and reduced lead-time variability will boost manufacturing capacity utilization. |
| Technology & Innovation | (Strategic-sector export risk ↑ → Dual-use export-control restrictiveness ↑ → Semiconductor fab utilisation rate ↓ → AI inference cost index shift ↑ → AI adoption GDP uplift ↓) | Tighter export controls will reduce fab utilization, raise AI inference costs, and dampen AI-driven GDP gains. |
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정지훈 파트너 "CES 2026, AI 유틸리티 시대 서막"
Jihun Jung Partner CES 2026, Dawn of the AI Utility Era
ZD Net Korea | Local Language | News | Jan. 23, 2026 | UndeterminedTech Development/Adoption
At CES 2026, Jihun Jung, founding partner of Asia2G Capital and adjunct professor at DGIST, declared the start of the "AI utility era," marking a shift from AI's flashy performance to practical AI applications that create value. He emphasized that this year’s CES was more focused on B2B rather than consumer markets, noting key exhibition areas such as Hyundai Motor’s presence in the West Hall and humanoid robots in the North Hall, while the traditionally prominent Central Hall saw less attention. Samsung notably opted out of the main exhibition hall and held separate events instead.
Jung identified four major battlegrounds for AI development after 2025: a new computing stack, human-AI interfaces, AI’s expansion into the physical world, and enterprise adoption challenges. He highlighted the growing importance of edge semiconductors amid the transition from inference centered on companies like NVIDIA to broader AI infrastructure. He noted that NVIDIA’s large energy consumption remains problematic compared to Qualcomm and startups like HyperExcel, in which Asia2G has invested.
Regarding future computing devices, Jung pointed to glasses-type devices becoming mainstream around 2029–2030, requiring new operating system and software stacks, with Qualcomm likely providing the standard chips. He critiqued China’s weak OS and software capabilities and predicted Microsoft is at risk due to increasing cloud-based tool adoption, with Google’s ecosystem gaining more prominence among younger users.
Jung observed that AI is extending into physical realms, with autonomous vehicle technology showcased prominently, exemplified by companies such as John Deere in agriculture, Caterpillar in construction, and Brunswick in marine yachts. He noted significant growth in AI and robotics innovation award winners at CES 2025 and 2026. Tesla was described as the "Apple of the physical AI era," with its end-to-end control both a strength and a weakness, while NVIDIA compensates for lacking hardware through partnerships, notably with Hyundai Motor.
The presentation also underscored a strong Hyundai-NVIDIA collaboration, likening it to the Google-Samsung smartphone alliance. Hyundai’s recruitment of former NVIDIA executive Park Min-woo as president overseeing autonomous driving signals deepening ties. Jung downplayed concerns over China’s robotics advances, noting their robots’ limited load capacity compared to Hyundai and Tesla.
Finally, Jung forecasted that AI, semiconductors, robotics, energy, and wearables will converge and drive the metaverse revolution over the next two decades, emphasizing that this multi-technology integration, not any single innovation, will spark transformative change occurring once every 10–20 years.
SK Innovation brings KHNP into TerraPower SMR alliance
Korea Herald | English | News | Jan. 23, 2026 | UndeterminedBizdev-Partnering
SK Innovation has sold part of its stake in US-based small modular reactor (SMR) developer TerraPower to Korea Hydro & Nuclear Power (KHNP), marking KHNP’s first entry into a global SMR alliance. KHNP received approval from the Committee on Foreign Investment in the United States in December, enabling the investment. SK Innovation, which initially invested 367.5 billion won ($250 million) in TerraPower in August 2022 alongside SK Inc., remains the second-largest shareholder after the partial sale.
TerraPower is developing a commercial SMR plant in Wyoming using its proprietary Natrium technology, a sodium-cooled reactor system designed to flexibly adjust power output to meet demand. The partnership between SK Innovation, TerraPower, and KHNP aims to enhance cooperation on SMR projects in the US and other international markets, with plans to formalize business agreements within the year.
The collaboration comes amid rising demand for stable, large-scale power sources driven by the expansion of artificial intelligence and data center infrastructure. SMRs are gaining traction for their modular design, scalability, and ability to provide continuous power. SK Innovation plans to support the Wyoming project and promote overseas expansion and localization of key materials through this strengthened alliance.
Gwangju named Korea's first citywide autonomous driving test zone to challenge U.S., China leads
Joongang Ilbo | English | News | Jan. 23, 2026 | UndeterminedTech Development/Adoption
Gwangju Metropolitan City has been designated as South Korea's first citywide autonomous driving test zone to accelerate AI-powered vehicle development and close the technology gap with the United States and China. The Ministry of Land, Infrastructure and Transport announced that about 200 self-driving vehicles will operate on public roads across Gwangju starting in the second half of 2026. This initiative is part of a broader economic growth strategy aimed at boosting the country's competitiveness in autonomous driving by utilizing the entire city as a large-scale testing environment, similar to trials in San Francisco and Wuhan.
The government plans to appoint the Korea Automobile Testing and Research Institute to manage the program and will select about three autonomous driving companies through an open call by April. These companies will receive test vehicles based on their technical capabilities, beginning with autonomous driving accompanied by safety drivers and moving toward fully driverless operations after annual reviews. A standardized system will collect and preprocess driving data to train AI, with support for large-scale GPU-based training at the national AI data center. Additional measures include remote monitoring, safety management systems, and a specialized insurance product to mitigate compensation risks from accidents during testing.
South Korea has already implemented advanced regulatory frameworks, including safety standards for Level 3 conditional automation and performance certification for Level 4 automation, but has been limited to smaller testing zones until now. Officials emphasized that larger-scale real-road testing is essential for AI systems that learn from extensive data and make independent driving decisions. Land Minister Kim Yun-duk noted the urgent need to catch up with global leaders, characterizing Korea's current autonomous driving technology level as elementary compared to more mature development in the U.S. and China.
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