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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. |
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.
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.
S. Korea becomes 1st nation to enact comprehensive law on safe AI usage
Yonhap | English | News | Jan. 23, 2026 | Regulation
South Korea has become the first country in the world to enact a comprehensive law regulating the safe use of artificial intelligence (AI). The Basic Act on the Development of Artificial Intelligence and the Establishment of a Foundation for Trustworthiness, or AI Basic Act, took effect on January 22, 2026. The law establishes a regulatory framework aimed at combating misinformation and other harmful effects related to AI.
The act introduces the concept of "high-risk AI," which includes AI models used in areas critical to users' daily lives and safety, such as employment, loan reviews, and medical advice. Companies utilizing high-risk AI must notify users of AI involvement and ensure safety. Additionally, all AI-generated content must carry watermarks to indicate its AI origin as a safeguard against abuses like deepfake content.
Global AI service providers with significant business in South Korea—defined as having annual global revenue of 1 trillion won (US$681 million) or more, domestic sales exceeding 10 billion won, or at least one million daily users—must designate a local representative. OpenAI and Google currently meet these criteria. The law allows for fines up to 30 million won for violations, but a one-year grace period will be observed before penalties are enforced to allow businesses to adjust.
The act also tasks the science minister with promoting the AI sector and requires the presentation of a policy blueprint every three years to guide industry development.
Lee hints at reorienting energy policy on nuclear power, citing public support
Hankyoreh - E | English | News | Jan. 23, 2026 | UndeterminedPolitical Policy Resistance
President Lee Jae Myung publicly acknowledged “overwhelming public support” for nuclear power during a recent Cabinet meeting, signaling a potential shift from his previous preference for renewable energy policies. While he did not explicitly direct the construction of new nuclear plants, his call for “reasonable discussion free from ideology” and the collection of public feedback suggests a possible tacit approval for expanding nuclear energy.
Previously, Lee had emphasized the rapid supply benefits of renewable energy, citing concerns that nuclear plants take 15 years to build and may not meet immediate energy demands. However, industry pressures, particularly from sectors like AI and semiconductors that require large electricity supplies, appear to have influenced this change. Comments from SoftBank CEO Masayoshi Son highlighting energy as a critical bottleneck in Korea’s AI industry were noted as a potential turning point.
Public opinion polls have shown strong support for nuclear power expansion, with a recent Gallup Korea survey indicating 54% of respondents favor building more nuclear plants compared to 25% opposition. This shift in the political landscape, along with an upcoming local election in June, may also be driving the administration's reconsideration of nuclear energy policy.
Energy experts view President Lee’s comments as guidelines for energy policymakers working on the country’s 12th master plan for energy supply. Civic groups suggest that the renewed focus on nuclear power is partly a strategic response to electoral considerations.
"물류는 매일 바뀐다…유연한 로봇 자동화가 답"
Logistics Change Daily… Flexible Robotic Automation Is the Answer
ZD Net Korea | Local Language | News | Jan. 23, 2026 | Supply Chain Issues
CJ Logistics is extensively implementing a "physical AI" strategy that integrates artificial intelligence, robotics, and simulation to address the dynamic and complex nature of logistics environments. Goo Seong-yong, head of automation development, highlighted that unlike manufacturing, logistics requires flexible use of space and the handling of varying product types throughout the day, which renders traditional fixed automation equipment like conveyors inadequate. The company is therefore focusing on robot-based automation that offers mobility and adaptability.
At e-commerce fulfillment centers such as the Incheon GDC, CJ Logistics has introduced mobile palletizers capable of handling multiple types of boxes in random order, enabled by reinforcement learning-based simulations. Similarly, a random piece-picking robot was deployed at the "The Market" center in Dongtan to manage about 300 product types using improved AI segmentation models, significantly reducing development time through virtual simulation environments.
CJ Logistics prioritizes development speed as a competitive edge, aiming to complete the transition from line construction to operation within three months post-contract. To achieve this, all robot and AI development is based on the Robot Operating System (ROS), with a significant proportion of internal developers trained accordingly. The company leverages virtual data generation and simulation to overcome challenges related to frequent changes in box designs, enabling rapid adaptation within hours.
Further innovation includes a vision-language-action (VLA) model using a dual-arm robot, developed in collaboration with ROBOTIS, which demonstrated quick deployment capabilities. Goo emphasized that despite perceptions of high AI costs, well-trained models can substantially reduce on-site development costs and time, proving cost-effectiveness in logistics automation. He also noted that ROS has unified robotics technology for 18 years and is expected to accelerate change in the logistics sector over the next 5 to 10 years.
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