Uber-Tesla Truck Pact – AI RoboTaxi Unleashed – Rate Cut Turmoil

● Uber-Tesla Truck Pact Logistics Revolution, AI Race, Hidden Risks

Elon Musk x Uber’s Semi-Truck Alliance — 10 Key Impacts of the Logistics Revolution and Hidden Risks

Reading the following will give you a clear overview of why this alliance goes beyond simple vehicle supply and contracts, impacting global economic structures, AI trends, logistics revolutions, energy demand, and even insurance and finance.

Key Content Included in the Article:

How the Uber-Tesla model of ‘demand guarantee + purchase assistance’ has changed the game rules for electric truck adoption.
The core aspect that other news outlets overlook: the acceleration of autonomous driving commercialization and the economic ripple effects of platform dependency brought about by data monopolies.
The impact of charging infrastructure (Megachargers) and logistics route redesign on regional fuel demand and port/road logistics patterns.
Structural risks and regulatory issues in insurance, finance, and the labor market that have not been fully considered.
From an investment perspective, promising sectors in the short, medium, and long term (batteries, charging, AI transportation software, logistics platforms) and recovery scenarios.

1) Event Overview — What Happened (Timeline Based)

Tesla and Uber Announce PartnershipUber, leveraging its ‘Uber Freight’ platform, adopts Tesla’s Semi-truck.Uber launches the EV Fleet Accelerator Program, integrating purchase subsidies, long-term volume guarantees, and operational schedule provision.

Pilot PerformanceInitial Pilot: Test operations in the tens of units, accumulating driving and operational data (e.g., examples of 12,377 miles, 394 hours of operation).

Public Offering StructureDrivers/Operators purchase Semi-trucks in an owner-operator model.Uber promises purchase subsidies, volume guarantees, route optimization, and charging station matching.Tesla provides vehicles, charging (Megachargers), and software (OTA, data collection).

2) Fundamental Shift in Business Model (Core Aspect Other News Misses)

The Power of Demand GuaranteesUber transforms the issue of delayed electric truck adoption, caused by drivers hesitating to bear high initial costs, into an ‘immediate revenue model’.This creates a network effect that removes demand-side uncertainty.

Integration of Platform-Hardware-InfrastructureWhen Tesla (Hardware, SW, Charging) + Uber (Platform, Volume) integrate,High margins can be captured across the entire value chain, creating an ecosystem revenue model beyond simple vehicle sales.

Data Ownership and AI AccelerationThe operational, sensor, and driver behavior data from Semi-trucks is ideal real-world data for optimizing autonomous driving AI learning.Tesla + Uber exclusively integrating this data will accelerate the commercialization of autonomy (especially highway L4).This creates a barrier to entry with ‘data + fleet’ that other companies will find hard to overcome.

3) Impact from a Technology/AI Trend Perspective

Autonomous Driving (for Transportation) Acceleration Scenario

Long-haul freight has predictable operational patterns, making autonomous application easier.
Large-scale operation of Semi-trucks accumulates data, shortening the timeline for L4 level commercialization.

AI Trends: Centralized vs. Distributed Learning

Uber and Tesla’s integrated data pipeline strengthens centralized learning.
Competitors must respond by forming alliances or adopting federated learning.

Semiconductor and Battery Demand Shock

Electric heavy-duty trucks consume significantly more battery power than passenger cars.
Short-term surge in demand for batteries, motors, and power electronics, leading to potential supply chain bottlenecks and price pressures.

4) Infrastructure and Operational Changes — Charging, Routing, Economics

Megacharger Network and Route Redesign

Freight routes are likely to be redesigned around high-power charging stations dedicated to Semis.
This incentivizes the relocation of logistics hubs and warehouses based on charging station locations.

TCO (Total Cost of Ownership) Analysis Points

Energy Costs: Electric trucks offer 20-30% energy cost savings compared to diesel (depending on usage patterns).
Maintenance Costs: Up to 30-40% reduction in maintenance and downtime costs.
Initial cost recovery period depends on battery prices, mileage, subsidies, and Uber’s volume guarantee.
McKinsey/ICCT analysis indicates potential to become more advantageous than diesel within 5-7 years.

5) Macroeconomic (Global Economy) Impact — Energy, Trade, Productivity

Shifting Crude Oil Demand Structure

Truck fuel demand accounts for a significant portion of global crude oil demand.
Large-scale transition can pressure regional refining and distribution markets and impact long-term oil prices.

Logistics Costs and Inflation Impact

Lower fuel and maintenance costs lead to changes in the logistics cost structure, potentially easing inflation for some goods.
Conversely, investment in charging infrastructure and rising battery prices are short-term cost factors.

Productivity and GDP Effects

Transportation automation and fleet optimization improve supply chain efficiency, positively impacting GDP productivity.

6) Regulatory, Labor, and Insurance Risks (Significant Issues if Overlooked)

Labor Issues

Changes in revenue structure and employment status for drivers (especially independent owner-operators).
Potential resistance from labor unions and local regulations.

Insurance and Liability Issues

Ambiguity in accident liability with autonomous and remote operation.
Changes in insurance premium models, with potential for Tesla and Uber to design and offer insurance directly.

Data and Cybersecurity Regulations

Large-scale collection of transportation data is subject to personal and commercial information regulations.
Concerns about conflicts with international data transfer regulations (e.g., EU).

7) Competitive Landscape — Response from Traditional Manufacturers and Logistics Companies

Traditional Truck Manufacturers (Volvo, Daimler, etc.)

Counter with enhanced electric powertrains and fleet management software.
However, a late response in the platform and data aspect limits the effectiveness of a fast-follower strategy.

Logistics and Transportation Platform Competition

Large shippers and platforms like Amazon and XPO are accelerating their own electrification strategies.
However, Uber’s ‘marketplace + volume guarantee’ is advantageous for rapid expansion.

8) Investment Perspective — Short, Medium, and Long-Term Opportunities and Risks

Short-Term (0-24 Months)

Beneficiaries: Charging infrastructure, high-power charger manufacturers, battery cell and module suppliers.
Risks: Pilot risks, uncertainty in initial sales trends.

Medium-Term (2-5 Years)

Beneficiaries: Logistics software and platform services, remote operation and maintenance solutions, insurance and financial services.
Observation Points: Speed of Tesla’s Megacharger expansion, Uber’s contract renewal policies.

Long-Term (5+ Years)

Beneficiaries: Autonomous driving solutions, large-scale data platforms, integrated logistics ecosystem companies.
Risks: Regulatory and labor conflicts, battery supply bottlenecks, alliances of competing platforms.

9) Practical Implications — Checklists for Companies, Shippers, and Investors

Shippers (Owner-Operators and Drivers)

Prioritize TCO calculation and numerically verify Uber’s volume and subsidy terms.
Assess business risks associated with charging schedules and route dependency.

Freight Owners (Distributors and Retailers)

Model long-term logistics cost reduction scenarios and re-evaluate warehouse placement based on charging infrastructure location shifts.

Investors

Focus on businesses that own data and platforms.
Consider increasing allocation to companies with software and service revenue models, not just vehicle manufacturing.

10) The Biggest Hidden Risks and Opportunities (Areas Other Media Overlook)

Hidden Opportunities

‘Data network effects’ generate higher average revenue per user than vehicle sales.
Long-haul truck electrification, due to its regular operational patterns, offers faster autonomous commercialization compared to urban logistics electrification.

Hidden Risks

Platform Dependency: Local drivers and small-to-medium logistics companies can become tied to the Uber ecosystem, leading to concentrated price and operational control.
Financial Risks: Rising debt ratios for drivers can lead to widespread defaults in the event of market shocks.
Regulatory and policy risks vary significantly by region, causing uneven global expansion speeds.

< Summary >

The Uber-Tesla alliance is not just about vehicle supply; it’s an integrated model of ‘demand guarantee + purchase assistance + charging infrastructure linkage’ that removes barriers to electric truck adoption.
The core competitive advantage lies not in the vehicles themselves but in data and platform network effects, which accelerate the commercialization of autonomous driving.
Economic Impacts: Changes in logistics cost structures, impact on crude oil demand, potential for productivity improvements.
Overlooked Risks: Labor, insurance, data regulations, platform dependency, financial and supply chain bottlenecks.
Investment Focus: Approach with a focus on batteries, charging, AI transportation software, and logistics platforms, while continuously monitoring regulatory and supply chain risks.

*Source: [ 오늘의 테슬라 뉴스 ]

– 일론 머스크, 우버와 세미트럭 동맹 결성… 로보택시 다음은 물류 혁명? 글로벌 트럭 시장까지 장악 나서나?

● Tesla FSD Global Expansion Rate Cut Boosts AI – RoboTaxi Reality Looms

Here’s a summary of the key points from the article:

The core points discussed in this article are:

The implications of the Fed’s 25bp rate cut and the dot plot for the market.
Details of Tesla FSD’s official rollout in Australia and New Zealand, and its immediate global expansion potential via OTA.
The deeper meaning of the safety driver retention strategy and Tesla’s practically secured cost competitiveness.
Regulatory movements by UNC/UNECE and scenarios for global robotaxi legalization.
An analysis of the feasibility of Elon’s “25-30 trillion market cap is possible” statement.
Grok-4’s performance and what Grok-5 and Colossus 2 signify for the AGI roadmap and industrial synergy.
Key insights not often covered by other media – the data network effect based on OTA, ‘preparing for a scaled global rollout’ revealed through job postings, and the immediate impact of interest rate reductions on Tesla and AI-related valuations.

1) FOMC — Significance of the 25bp Cut and Dot Plot

The Fed has cut the benchmark interest rate by 25bp as expected. The market reacted positively to the 25bp cut, as a more aggressive 50bp cut would signal concern from the Fed and be met with greater resistance. The median in the dot plot indicates the year-end benchmark rate at 3.75%, signaling the possibility of further cuts (two 25bp reductions) within this year from the current 4.25%. From a market perspective, the crucial aspect is the ‘future path.’ A key expected direct effect of lower interest rates is upward pressure on valuations due to a reduced discount rate for growth stocks and Artificial Intelligence (AI) and tech companies. This significantly boosts the future cash flow value of Tesla (including its robotaxi and software revenue models). The 2026 dot plot also suggests lower levels, leaving room for long-term easing expectations. Important checkpoints include the next meeting (likely dates: October 29th, December 10th) and changes in the dot plot. (SEO keywords: Economy, Interest Rates, Artificial Intelligence)

2) Tesla FSD Expansion to Australia and New Zealand — What Does It Mean?

The rollout targets Model 3 and Y vehicles equipped with HW4 / AI4 chips. Distribution will be via OTA updates, with a subscription model (AUD 149/month) also announced. The timeline for Hardware 3 vehicles remains undisclosed. During the early access phase before official rollout, successful driving footage has already been confirmed in scenarios involving temporary traffic lights, construction zone signals, and unprotected (or difficult) right/left turns. These cases demonstrate FSD’s ability to operate in diverse environments, not solely relying on the standard signals and road patterns of a single country. The key takeaway is that by simply updating the software via OTA, the same hardware can simultaneously provide the functionality to vehicles worldwide. This single point signifies the ‘immediate scalability’ of robotaxis. (SEO keywords: Tesla, Autonomous Driving)

3) Robotaxi Global Preparation — Regulations, Infrastructure, Workforce

Discussions are underway at the UNECE (or UNC) level regarding DCAS Level 3 (System-driven driving within urban areas). If this regulation is passed and recommended, it will open the path for commercializing system-driven driving at the city level. Tesla has formalized its ‘global expansion’ and infrastructure preparations through its robotaxi software engineer job postings. These postings suggest not just the recruitment of development talent but also the preparation of regional regulatory, operational, and data pipelines. In terms of operating area, Tesla has already secured broader coverage than competitors by operating in select cities like San Francisco and Austin. The core principle: the integration of hardware, software, and fleet (vehicles) is already effective, and with regulatory approval, area expansion will accelerate rapidly. (SEO keywords: Robotaxi)

4) Strategic Significance of Retaining Safety Drivers

Media criticism argues that “if human safety drivers remain, it’s not a robotaxi.” However, from Tesla’s perspective, safety drivers serve as a means to mitigate legal and operational risks. Maintaining data collection and real-time supervision for labeling and feedback loops to improve system reliability is a more rational approach for maximizing long-term value. Premature commercialization leading to accidents could damage regulations and public trust, delaying the entry timeline for the entire market. Therefore, the timing for removing safety drivers is expected to be when ‘the market, regulations, and technology mature simultaneously,’ with a strong possibility of this occurring by year-end, aligned with FSD v14 as proposed by Tesla. From an investment perspective, it’s essential to recognize the staged risks of ‘data accumulation → model refinement → software monetization.’

5) Elon’s “25-30T Market Cap” Statement — Feasibility Assessment

Elon’s statement has been publicly mentioned to the extent that it’s included in SEC filings. This figure is not merely a valuation for a car company. The core assumption is the formation of diverse revenue streams through the commercialization of robotaxis, software and subscription models, and the integration of energy, battery, autonomous driving, and AI services. Lowering interest rates increases the present value of future cash flows, thereby enhancing the value of these ‘long-term bets.’ However, the risks are clear. Major risks include regulatory hurdles, lawsuits, safety incidents, competition (from Waymo, Cruise, Baidu, etc.), and hardware supply chain issues. Therefore, while a $30T scenario is possible, its probability is uncertain, and investors must track staged milestones (robotaxi regional expansion, regulatory approvals, subscription revenue, etc.).

6) Grok-4, AGI Prospects, and Colossus 2

Recent reports have shown significant achievements in problem-solving using Grok-4. The core of these cases lies in an approach focused on ‘optimizing natural language instructions and logical consistency, rather than just programming.’ This approach advances the ability of agent AI to handle multiple problems. Elon’s mention of Grok-5 potentially approaching AGI is in line with this progression. Infrastructure investments like xAI and Tesla’s Colossus 2 (a large training cluster), combined with Tesla’s vast sensor data from its vehicles, could accelerate the development of practical AGI (human-level generalized performance in specific domains). However, ‘true general AGI’ still faces technical, ethical, and regulatory challenges, making the timeline fluid.

7) Tesla Sales and Support Strategy — Short-Term Catalysts

A campaign is underway to maximize Q3 deliveries, leveraging the $7,500 US tax credit. The pre-announced Middle East launch of the Cybertruck targets high-net-worth individuals. Sales trends in Norway serve as a meaningful leading indicator for the European market, with sales already high compared to the same period last year. In the short term, subsidies, promotions, and regional demand act as catalysts for stock price and earnings.

8) Key Insights Differentiating from Other Media (Pay Attention Here)

1) OTA is not just an update tool but the core of ‘global production cost decoupling.’ The model of producing hardware in batches and then selling features via software fundamentally changes the manufacturing-centric margin structure.2) Tesla’s job postings reveal preparations for ‘scaled operational capability.’ This signals the simultaneous global preparation for legal and operational localization (responding to local regulations, insurance and operational manuals, collaboration with local governments).3) Interest rate reductions provide immediate valuation leverage for Tesla and AI companies. A lower discount rate makes future robotaxi and subscription revenues more valuable.4) The combination of data scale and AI models (e.g., Grok series) increases the possibility of ‘domain AGI.’ Tesla has a time advantage over competitors due to its large-scale proprietary data source in the form of its vehicle fleet.These four points are crucial, though not superficially covered in other news, and directly impact the company’s valuation.

9) Practical Checklist — Items Readers (Investors/Business Professionals) Can Immediately Utilize

Short-term (next 3 months): Monitor changes in the Fed’s dot plot, the release schedule for FSD v14, news on expanded operations in Australia and Europe, and Tesla’s quarterly delivery announcements.Mid-term (6–12 months): Observe the timing of safety driver withdrawal declarations and the status of regulatory approvals (related to UNECE/DCAS), and track indicators for subscription revenue growth and expansion of robotaxi pilot cities.Long-term (1–3 years): Observe Tesla’s software revenue proportion, robotaxi operating profitability, the activation of xAI and Colossus 2 related infrastructure, and the resulting improvements in model performance.Portfolio Tip: Direct exposure to Tesla is high-return, high-risk. Consider alternatives such as autonomous driving sensor and semiconductor suppliers, mapping and localization companies, and data infrastructure/cloud providers.

10) Final Summary — The Core of Investment and Strategy at This Moment

The Fed’s easing stance pulls forward the future value of Tesla and AI companies. Tesla FSD’s deployment in Australia and New Zealand has demonstrated technological maturity and immediate scalability based on OTA. Safety drivers are not merely a ‘temporary hurdle’ but a strategic risk management tool. Elon’s $25-30T statement is not excessive ambition but a possible scenario, requiring staged achievements with evidence of regulatory approval, safety, and monetization. The advancements in Grok-series models and large training clusters are expanding the industrial application scope of artificial intelligence, and the synergy with Tesla is noteworthy. Synthesizing the various events today leads to the conclusion that we are in a dynamic phase of change, where ‘policy (interest rates) → capital (valuation) → technology (OTA, AI) → regulations (UNECE, etc.)’ are interlocking.

< Summary >

The Fed’s 25bp rate cut and dot plot leave room for expectations of further cuts, which is favorable for the valuations of growth, AI, and tech companies. Tesla FSD has been deployed via OTA to HW4/AI4-equipped vehicles in Australia and New Zealand, demonstrating the global expansion potential of robotaxis. The decision to retain safety drivers is risk management, with a phased withdrawal scenario linked to FSD v14 being realistic. Elon’s $25-30T market cap statement is possible but requires prior evidence of regulatory, safety, and monetization milestones. Grok-4’s performance and large-scale training clusters are increasing the possibility of practicalizing domain intelligence approaching AGI. Key differentiators are the OTA + data network effect and the ‘global rollout preparation’ revealed through job postings.

*Source: [ 허니잼의 테슬라와 일론 ]

– 테슬라 FSD 호주 진출과 함께 일론이 남긴 의미심장한 발언 “시총 30T, 불가능 아니다!” / 전세계 로보택시 준비

● Fed Cuts Rates Market Turmoil-Interest Rate Hike-Inflation Fears-Global Uncertainty-Investment Strategy-Next Moves

The Interest Rate Cut Train is Running Again! Today’s Extremely Volatile Market — Including 7 Key Insights

The important topics covered in today’s article are as follows:The true meaning of the Fed’s 25bp rate cut decision and the hidden signals in the dot plot.Divergent reactions across indices like Russell 2000 and Nasdaq, and the structural market factors behind them.Extreme fluctuations in the bond market (bond yields) and how to interpret the term premium.Real-world factors like tariffs (Trump issue) and retailer margins that weakened inflation pass-through.The Fed’s “anonymous vote” and the potential impact of political risks, which are rarely covered by the media.Practical positioning strategies (stock market, bonds, dollar, commodities, cryptocurrency) from an investor’s perspective and checkpoints.Key indicators that will determine the market’s true direction in the next data/event releases.

1) Chronology of Events and Market Reaction SummaryThe Fed announced a 25bp rate cut as expected.The stock market had a mixed day, with Russell 2000 and Dow rising, while S&P 500 and Nasdaq saw slight declines.The 10-year Treasury yield fell below 4% intraday before bouncing back to near 4.1%.Such fluctuations cannot be interpreted uniformly, indicating that investors digested the signals individually and arbitrarily.Volatility was particularly high in rate-sensitive stocks and small-cap stocks (Russell 2000).

2) The Fed’s Rationale — Why Cut Now?Chairman Powell cited a slowdown in employment (weakening unemployment and jobs data) as the reason for the rate cut.At the same time, he acknowledged that core inflation remains high, in the high 3% range.This decision leans towards the employment side of the Fed’s dual mandate (price stability and maximum employment).However, the market retains questions about whether cutting rates while inflation is high is the right move.The dot plot shifted to a more dovish stance, increasing the number of anticipated rate cuts this year (interpreted as a dovish signal by the market).

3) Hidden Signals in the Dot Plot: Unmentioned Internal DivisionsWhile there was near-unanimous agreement on the 25bp cut in the public vote, one anonymous “hold” vote remains in the dot plot.This suggests significant dissent and political pressure within the Fed.In other words, behind the surface dovish signal lies a division risk that could shake future policy credibility.The point that the media rarely covers is that this “anonymous vote” can undermine the market’s confidence framework.

4) The Impact of Tariffs and Distribution Structures on Inflation — A Less Covered Perspective by the MediaPowell explained that the impact of tariffs on prices was weaker than expected.This is because retailers and wholesalers were observed absorbing the tariff costs as margin compression rather than passing them on.Consequently, tariff shocks did not immediately translate into consumer prices, lending credence to arguments of inflation being transitory.This point serves as a key defense for the Fed’s “rationale for cutting” using political and real-world factors.However, the impact of tariffs has a significant lag, requiring re-evaluation in a few months.

5) Bond Market and Term Premium (Point of Interest)In the short term, the sharp fall and rebound in the 10-year yield reflect the market’s directional uncertainty.The key is the movement of long-term yields and the term premium (premium for future uncertainty).The Fed reiterated its stance that it does not directly target long-term interest rates.However, the stability of long-term yields depends on inflation expectations (5y5y breakeven), economic performance, and global liquidity.Monitoring the spread between TIPS (Treasury Inflation-Protected Securities) and on-the-run/off-the-run Treasuries is particularly important.

6) Divergence Across Indices and Sectors — Why Russell vs. Nasdaq Moved DifferentlyThe sharp rise in the Russell 2000 is attributed to the rate sensitivity of small companies (short-term leverage, reassessment of growth potential) and market positioning (long small caps).Conversely, the Nasdaq declined slightly despite expectations for high-growth large-cap stocks (especially those that benefit from lower rates).This is the result of ETF, options, and quant positioning, as well as delta hedging dynamics, operating differently across indices.Furthermore, investor sentiment instability has led to a divergence between risk assets’ reflation beta (energy, metals) and technology stocks.

7) Practical Checklist for Short- and Long-Term InvestorsShort-term traders should watch for changes in volatility (VIX), small-cap options chains, and futures weights (ES, NQ, RTY).Medium-term investors should monitor the credibility of the dot plot and the next 90-day trend of PCE, CPI, and employment data.Bond investors should simultaneously observe the yield curve (2y vs. 10y), TIPS breakevens, and credit spreads.Forex and EM investors should check dollar strength/weakness elasticity and potential capital outflows due to US interest rate changes.For cryptocurrency investors, while the possibility of risk asset reassessment due to rate cuts is high, hedging (options, cash) is recommended to prepare for increased volatility.

8) 5 “Hidden Risks” Rarely Reported by the MediaAnonymous votes within the Fed and political pressure (especially criticism from the administration) can erode policy credibility.The lag in tariff impact and retailer margin compression delay the resurgence of inflation but increase uncertainty.Quant rebalancing by leveraged funds and hedge funds, along with ETF flows, can cause extreme price swings.Rising term premiums on long-term yields conflict with rate cut expectations, leading to confusion in bond prices.The simultaneous occurrence of global capital flows (emerging market capital outflows, dollar strength) can amplify economic and financial shocks.

9) Immediately Actionable Investment and Risk Management IdeasPosition Reduction: Given the low credibility of the dot plot, reduce “long leverage” positions in the short term.Hedging: If you have a high allocation to small-cap stocks and tech, hedge with put options and VIX-related ETFs.Bond Strategy: If there is remaining discount potential, manage risk with less duration-heavy positions, primarily in the medium-term (5-7 years).Secure Cash and Reserves: In periods with significant event risk, cash holds significant optionality value.Cross-Asset Strategy: Consider positioning based on the correlation between the dollar-won exchange rate and commodities (energy, metals).

10) Next Viewing Points (Data Calendar and Events)The next PCE and CPI releases will be decisive inflection points for the credibility of the Fed’s message.The next Non-Farm Payrolls (NFP) report will verify the sustainability of the Fed’s employment narrative.Focus on the yield difference between cyclical and defensive stocks during the corporate earnings season.US-China geopolitical events and news related to tariffs can lead to a reassessment of inflation and supply chain risks.Fed official remarks and the speaking schedule until the next FOMC meeting will be immediate catalysts for market sentiment.

Finally — The “Most Important Thing” I See (A Perspective Not Well Discussed by Other Outlets)More important than the Fed’s rate cut itself is whether “policy credibility is maintained.”The combination of this dot plot and anonymous vote reveals how unstable the Fed’s internal messaging is.If policy credibility is shaken, short-term rate cuts may only increase market volatility and weaken the link to real economic recovery.In other words, investors should prioritize the Fed’s communication consistency and real economy flows (consumption, wages, distribution) over simply betting on the number of rate cuts.

< Summary >The Fed’s 25bp cut was a decision based on slowing employment, but core inflation remains high.The dovish signals in the dot plot and the internal anonymous vote reveal internal Fed divisions and policy credibility risks.The sharp fluctuations in bond yields and the divergent movements of Russell 2000 and Nasdaq are due to positioning, liquidity, and options dynamics.The weakening of tariff pass-through to prices and retailer margin compression support the Fed’s “transitory” argument, but the lag risk remains.Investors should position themselves by focusing on “Fed credibility, real data, and term premiums” rather than the “number of rate cuts.”

[Related Articles…]https://nextgeninsight.net/?s=Fed%20Dot%20Plot The Hidden Meaning of the US Fed’s Dot Plot — Summary of the Impact of Policy Credibility on Investmenthttps://nextgeninsight.net/?s=Interest%20Rates Analysis of the Ripple Effects of Interest Rate Cuts in Korea and the US — Scenarios from the Perspectives of Bonds, Stocks, and Exchange Rates

*Source: [ Maeil Business Newspaper ]

– [홍장원의 불앤베어] 다시 달리는 금리인하 열차! 시장 변동이 극심했던 이유는?