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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.
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.
손해사정 플랫폼 '사고링크' 개인정보 일부 유출
Partial personal information of claims adjustment platform 'SagoLink' leaked
ZD Net Korea | Local Language | News | Jan. 23, 2026 | Privacy
On January 16, 2026, claims adjustment platform SagoLink disclosed a data breach in which some users' personal information was leaked after related data was posted in an external online space. The company detected signs of the breach on January 14 and quickly conducted an internal inspection, blocking access routes and strengthening security measures. SagoLink reported the incident to relevant authorities, including the Korea Internet & Security Agency (KISA), and is actively investigating the details.
The leaked personal information may include users' names, genders, dates of birth, mobile phone numbers, email addresses, marketing consent status, some accident-related data, and loss estimation information. Sensitive information such as resident registration numbers, login passwords, and payment details were not compromised, as SagoLink does not store unique identifiers, passwords (which are managed via third-party authentication like Kakao Login and Apple Login), or payment information (users deposit directly into virtual accounts).
While the risk of monetary loss or credential stuffing attacks is low, the exposure of names and mobile phone numbers raises concerns about potential phishing and other secondary damages. SagoLink has advised affected users to seek relief through the Personal Information Protection Portal or related institutions and has pledged to prioritize data protection and prevent further incidents, promising timely updates on new developments.
Wildfire erupts in Gwangyang, prompting evacuation order
Joongang Ilbo | English | News | Jan. 23, 2026 | Natural Disasters
A wildfire broke out on January 21, 2026, in the Mount Baegun area of Gwangyang, South Jeolla, leading fire authorities to escalate their response and issue evacuation orders for nearby residents. The fire was fueled by dry weather and strong gusty winds, with wind speeds averaging 3.6 meters per second at the time of reporting.
Forestry and fire officials deployed 19 helicopters and 31 fire engines to combat the blaze. Despite these efforts, dry conditions and sustained winds continued to challenge firefighting operations. The emergency response level was raised from Level 1 to Level 2 at 4:31 p.m., which applies when a wildfire is expected to impact 50 to 100 hectares and is forecasted to be controlled within 48 hours.
Residents near the affected area were instructed to evacuate to village community centers and other designated safe locations via emergency text alerts. This wildfire represents a serious incident amid ongoing dry weather conditions in the region.
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