AI Shock Wave, Nasdaq Bounce, CPI, Oil Dip, Cloud Frenzy

● AI Shock Wave, Nasdaq Bounce, CPI, Oil Dip, Cloud Frenzy

The Real Reason AI Risk Warnings Are Surging: Nasdaq Rebound, CPI, Crude Oil, AI Semiconductors, and Cloud Investment in One View

The key issue is not simply that “AI is scary.”
U.S. equities rebounded as the market viewed CPI and falling crude oil prices as supportive, while major AI-related developments from OpenAI, Anthropic, Microsoft, SpaceX, and Chinese AI company Moonshot surfaced at the same time.
The point the market should not miss is that AI risk warnings are linked not only to technical concerns, but also to regulatory control, IPO expectations, AI semiconductor demand, and the cloud computing investment cycle.

Today’s discussion can be organized into three parts.
First, why the Nasdaq rebounded.
Second, how strong AI computing demand remains.
Third, why OpenAI and Anthropic executives are suddenly saying AI development should slow down.

1. U.S. Market Rebound: CPI Was Mixed, but the Market Read It as “Not Too Bad”

The Nasdaq, which had fallen sharply over the past few sessions, rebounded by around 1%.
The direct catalyst was the market’s relatively constructive interpretation of CPI and crude oil prices.

On the surface, CPI was not clearly favorable.
Core CPI came in slightly above expectations.
Normally, this would increase concerns about higher interest rates and weigh on U.S. equities.

This time, however, the market’s reading was different.
The inflation data was seen as not high enough to force a more aggressive response from the Federal Reserve.
In other words, the view was that inflation remains sticky, but not at a level that would prompt drastic action.

Another interpretation was based on a preventive-rate-hike logic.
Even if the Fed keeps rates somewhat elevated in the near term, that could help anchor longer-term inflation expectations and stabilize long-term yields.
As a result, the market treated the CPI release as “not ideal, but not the worst case.”

2. Crude Oil Decline: Lower IEA Demand Forecast and Middle East Meeting Plans

The modest decline in crude oil prices also supported equities.
Lower oil prices reduce inflation pressure and, in turn, ease tightening pressure on the Fed.

The first reason was that the International Energy Agency lowered its forecast for global oil demand this year.
The market interpreted this as a sign that demand may soften after the recent rise in prices.

The second reason was a Middle East-related development.
Oman is reportedly facilitating a meeting involving the six Gulf Cooperation Council GCC countries and Iran’s foreign minister.
The important point is that this is still a proposed meeting, not a confirmed one.

The target date mentioned was a September 14 meeting in Oman, but confirmation and participation remain uncertain.
The market is focused on potential implications for traffic through the Strait of Hormuz and related transit costs.
Iran is likely to seek fees or greater influence, while neighboring states are likely to resist.

Accordingly, the decline in oil prices reflects short-term relief from prospects for dialogue rather than a structural improvement.
If energy prices reverse higher, inflation and rate expectations could become volatile again.

3. AI Investment Cycle: Portfolio Activity and Broadening of the AI Value Chain

In AI, the market is once again seeing renewed interest across the broader AI value chain.
There are reports that Leopold Aschenbrenner is investing in AI-related equities and options.

The names cited include AMD, Bloom Energy, and CoreWeave.
The list also reportedly includes memory-related names such as SK Hynix, Sandisk, and DRAM ETFs.

This matters because it shows that AI investment is no longer centered on Nvidia alone.
The trade is broadening into AI semiconductors, HBM, DRAM, data-center power, cooling, cloud infrastructure, and server-rental providers.

The market is moving beyond “AI models are improving” and toward “the physical infrastructure required to run AI is in short supply.”
That is likely to remain a key investment theme in AI-related equities.

4. SpaceX and Microsoft News: AI Compute Demand Still Exceeds Supply

SpaceX’s CFO also referenced AI computing-related contracts.
There were also positive comments that SpaceX’s ARR, or annual recurring revenue run rate, could be approaching a $100 billion pace.

The market is focused on AI cloud demand.
Training AI models and delivering inference services requires substantial compute capacity.
Recent signals continue to suggest that demand is stronger than expected.

Microsoft also said it plans to triple computing capacity.
The reason is straightforward.
Azure demand is reportedly so strong that some AI cloud requests from customers have had to be turned away.

Microsoft’s current data-center capacity is estimated at about 12GW, of which roughly 2GW is AI-specific.
Microsoft is reportedly aiming to expand total data-center capacity nearly threefold by 2032 and AI-specific capacity by around sixfold.

A notable point is that Microsoft is expanding not only AI-specific capacity but also general cloud data centers.
This suggests a view that the AI agent era could drive a broader surge in general compute usage, not just GPU demand.

AI agents are programs that continue operating on behalf of users.
They can organize email, prepare documents, handle reservations, execute code, and browse the web while the user is away.
Such services may require dedicated virtual machines or persistent execution environments for each user.

Meta’s recent rollout of a personal AI-agent service, which reportedly assigns users a 24-hour virtual machine, fits the same pattern.
In the AI agent era, demand may rise not only for AI GPUs, but also for traditional cloud computing infrastructure.

5. Moonshot AI and the Anthropic Dispute: Did Kimi Secretly Use Claude?

One of the most provocative stories in AI this week concerns Chinese AI company Moonshot AI and its Kimi product.
Anthropic has suggested that Moonshot may have routed user requests through Claude or used Claude responses at scale.

According to Anthropic, Kimi allegedly sent user requests to Claude Opus and returned Claude’s responses to its own users.
The structure is comparable to listing a product on one platform and sourcing the item from a different marketplace before rebranding it for sale.

Anthropic said one case involved roughly 300,000 customer requests being sent to Claude Opus.
It also cited the use of approximately 5,380 fraudulent accounts by Moonshot.

The issue may involve simple relaying, or it may involve data collection for distillation.
Distillation refers to using the outputs of a stronger model to train a smaller or competing model.

Some observers believe Kimi may not have merely relayed Claude responses, but may have sent similar prompts to Claude, collected responses, and used them as training data.
If so, the issue becomes more significant.

In that case, AI competition becomes a contest over who can secure the best data at scale.

6. Why OpenAI Is Talking About Slowing AI Development

There have also been reports that OpenAI is willing to slow its development of frontier AI systems.
Sam Altman reportedly made this point in a company-wide meeting.

On the surface, the rationale is AI safety.
Model capabilities are advancing rapidly, while the technical and institutional controls needed to manage them remain underdeveloped.

The practical issue is competition.
Even if OpenAI slows down, Anthropic, Google DeepMind, xAI, Meta, and Chinese AI companies are unlikely to do the same.
OpenAI and Anthropic are widely viewed as two of the leading frontier AI firms, but their relationship is not especially cooperative.

As a result, calls to slow AI development may be valid in principle but difficult to implement in practice.
The more realistic focus is likely to be on safety evaluation, access controls, legal liability, training-data transparency, and restrictions on high-risk capabilities.

7. Why AI Risk Warnings Have Intensified Again: The Impact of GPT-6 Astra-Level Demos

Recent demos associated with the next-generation GPT-6 Astra model have renewed concerns about AI risk.
Examples include AI-assisted video editing, gameplay, and game creation.

In strategy games such as Football Manager, AI can make reasonably coherent decisions, even if it is not perfect.
This suggests a shift beyond a simple chat interface toward systems that understand goals, plan, and execute tasks.

Game creation demos have also multiplied to the point that they are difficult to track individually.
Text-only prompts can now generate characters, maps, rules, code, and user interfaces in experimental settings.

The more important issue is that AI has become much better at coding.
Since AI itself is ultimately a code-based system, stronger coding ability raises concerns that it could eventually improve its own architecture.

This is referred to as recursive self-improvement.
If AI improves itself, and the improved version builds an even better AI, the pace of progress could exceed human control.

There are also reports that OpenAI’s next-generation model has made meaningful progress on some Millennium Prize-level math problems.
If AI begins producing genuine breakthroughs on problems that top human researchers have not solved, its economic and strategic implications could become substantial.

8. Internal Warnings: “We Are Gambling with Human Lives”

Former OpenAI and Anthropic personnel have been issuing public warnings about AI risk.
Some former executives have argued that both companies have moved too quickly toward superintelligence and are effectively gambling with humanity’s future.

In this context, superintelligence does not mean a more capable chatbot.
It refers to systems that can set goals, use tools, write code, build other AI systems, and circumvent human control.

Some observers compare this scenario to the Ultron concept from the Avengers films.

Several former insiders have warned that a potentially catastrophic AI system could emerge before 2030.
That may sound extreme, but the key point is that these warnings are coming from people who worked directly in frontier AI development, not from outside commentators.

9. Bridgewater CIO Warning: “Humanity May Not Act Until AI Kills Someone”

Bridgewater’s chief investment officer has also said that the risk of AI-driven human extinction is real.
The statement carries weight because he is not simply an AI skeptic.

He was an early investor in OpenAI and Anthropic and has spent nearly 30 years at Bridgewater working on algorithmic trading and systematic investment strategy.
In other words, he understands both technology and finance.

He has studied how human judgment can be replaced by AI and believes that human intuition still has an edge, but that the gap is narrowing quickly.
He has also suggested that, within two to three years, AI could outperform the collective judgment of Bridgewater’s human workforce.

He warned that humanity may not take action until AI actually causes a fatal incident.
Although the wording is extreme, the market implication is important: regulation usually follows accidents.

Recent events such as the Hugging Face-related breach also highlight rising security risks across the AI ecosystem.
When AI models, open-source repositories, API accounts, and cloud permissions are interconnected, the scale of a failure can far exceed that of conventional software breaches.

10. Proposed Responses: Slower Development, Legal Liability, and a Token Tax

AI risk advocates have proposed several responses.
First, AI companies could intentionally slow the pace of development.
In practice, this is the hardest to implement.
If one company pauses, another may capture the market opportunity.

Second, AI developers could be held legally liable for crimes or damages caused by their systems.
This is relatively more feasible.
It would create a framework similar to product liability in the automotive industry.

Third, some have proposed a token tax or AI labor tax.
This would impose a separate levy on AI-generated token usage or on labor displaced by AI.
The objective would be to soften labor-market disruption and fund social safety nets.

Bridgewater has estimated that up to 18% of U.S. jobs could be displaced by AI within five years.
Whether that estimate proves accurate or not, it is clear that AI is beginning to replace not only repetitive tasks but also white-collar judgment work.

11. The Most Important Point Others Miss

This latest wave of AI risk warnings should not be reduced to a general fear of technology.
The real issue is that AI risk is now tied simultaneously to technology, investment, regulation, corporate valuation, and national competitiveness.

First, AI risk warnings can create regulatory barriers.
Stronger regulation may ultimately favor leaders such as OpenAI and Anthropic.
Only firms with substantial computing capital, safety-evaluation staff, legal teams, and policy networks may be able to survive in that environment.
Second, AI risk narratives can support IPO stories.
The message that “our technology is so powerful it requires social control” may resemble fear-based marketing, but it can also strengthen corporate valuation narratives.
Risk also signals power.
Third, the AI agent era will require more than GPUs.
User-specific virtual machines, storage, networking, security, and general cloud servers may all become constrained.
This helps explain why Microsoft is expanding not only AI data centers, but also general cloud capacity.
Fourth, the Moonshot distillation dispute highlights the commoditization of AI models.
If a weaker model can quickly catch up by leveraging outputs from a frontier system, model differentiation may erode faster than expected.
In that case, the real value may lie in infrastructure, data ownership, distribution channels, and enterprise customer lock-in rather than the model itself.
Fifth, AI safety debates ultimately come down to accountability.
If AI causes financial fraud, cyberattacks, biological risks, or mass labor displacement, unclear liability could trigger a major market shock.
Investors should therefore monitor not only model performance but also regulatory exposure and accountability structures.

12. Key Investment Checkpoints

The AI market currently faces short-term overheating concerns, but demand remains very strong.
In particular, demand for AI semiconductors and cloud infrastructure continues to signal supply constraints.

The first checkpoint is data-center power.
As AI models become more capable, power demand can rise sharply.
This is one reason companies such as Bloom Energy are increasingly associated with the AI theme.

The second checkpoint is memory semiconductors.
AI servers require not only HBM, but also DRAM, storage, and networking components at scale.
That is why SK Hynix, Sandisk, and DRAM ETFs are being mentioned together: AI investment is not only about GPUs.

The third checkpoint is AI cloud providers.
AI-focused cloud firms such as CoreWeave rent out compute capacity built on Nvidia GPUs to enterprise customers.
They are becoming an important part of the AI infrastructure landscape alongside Azure, AWS, and Google Cloud.

The fourth checkpoint is regulatory risk.
As concerns about AI risk rise, sentiment may face near-term pressure.
Over the longer term, however, regulation may also create barriers that benefit large incumbents.

The fifth checkpoint is labor-market disruption.
If AI replaces a substantial share of U.S. jobs, productivity could improve, but consumption patterns and political tensions may worsen.
That would have implications for the broader economy, interest rates, and fiscal policy.

< Summary >

The Nasdaq rebounded as the market interpreted CPI as not being the worst-case outcome and crude oil prices fell.
Oil prices eased on the IEA’s lower demand outlook and reports of an Oman-facilitated Middle East meeting.
AI investment is broadening across the value chain, including AMD, SK Hynix, DRAM, CoreWeave, and power infrastructure.
Microsoft and SpaceX-related developments indicate that AI cloud demand still exceeds available supply.
Anthropic has suggested that Moonshot AI’s Kimi may have covertly used Claude or data derived from it.
OpenAI and Anthropic executives are warning about the risks of faster frontier-model development and potential loss of control.
Bridgewater’s CIO believes AI could exceed human collective judgment within two to three years and potentially replace up to 18% of U.S. jobs within five years.
The most important takeaway is that AI risk warnings are tied not only to fear, but also to regulation, IPO narratives, cloud investment, and AI semiconductor demand.

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*Source: [ 내일은 투자왕 – 김단테 ]

– 그들이 AI를 경고하는 진짜 이유

● Inflation Shock Avoided, Fed Hold Likely

U.S. CPI Deep Dive: Inflation Shock Was Avoided, but the Real Variable Is the Lag Between PPI and CPI Transmission

The key takeaway from this U.S. CPI release is not simply that inflation came in line with expectations.

More importantly, consumer prices did not spike immediately despite a sharp rise in international oil prices, and the energy price increase has not yet been fully transmitted into core goods and services inflation.

This release also connects directly to the Federal Reserve’s policy decision, the September FOMC, U.S. Treasury yields, market reactions, oil price trends, and the meeting between the U.S. and China.

Headline coverage often stops at “CPI met expectations, markets reassessed risk,” but the data carried a more significant signal for the path of monetary policy.

1. U.S. CPI Results: Headline 3.4%, Core CPI 2.4%

This month’s U.S. CPI inflation reading matched consensus expectations.

Headline CPI rose 3.4%, while core CPI slowed to 2.4%.

Markets had expected headline CPI at 3.4% and core CPI at 2.4%, so the release did not produce a surprise.

Headline CPI: 3.4%
Core CPI: 2.4%
Food inflation: 2.7%
Energy inflation: 16.3%
Housing inflation: about 3.1%

The key point is that energy prices rose sharply without pushing the overall CPI higher.

Oil prices increased materially, but the impact did not spread broadly across consumer inflation.

In other words, inflation reacceleration remains a risk, but this CPI report does not indicate an inflation shock.

2. The View That Inflation Peaked in May Has Been Reaffirmed

The data again support the view that U.S. inflation peaked in May.

Headline CPI fell from 4.2% in May to 3.5%, then 3.4%, and remains at 3.4%.

Core CPI also declined from 2.9% to 2.6%, 2.5%, and then 2.4%.

Category	Peak Period	Recent Trend	Interpretation
Headline CPI	May 4.2%	3.5% → 3.4% → 3.4%	Peak likely passed
Core CPI	2.9%	2.6% → 2.5% → 2.4%	Underlying price pressure easing
Housing inflation	Past peak	3.4% → 3.2% → 3.1%	Supportive of service inflation stabilization

The decline in core CPI is particularly important.

Because core CPI excludes food and energy, it is a more important indicator for the Federal Reserve’s policy assessment.

As a result, this release makes it harder to justify further aggressive rate hikes.

3. Why Did PPI Surge While CPI Remained Stable?

The main point of confusion is the divergence between PPI and CPI.

Producer price inflation rose sharply in the previous release, largely reflecting higher oil prices.

That led markets to worry that CPI could also surprise to the upside.

However, PPI and CPI move at different speeds.

When oil prices rise, producer prices tend to react quickly.

Consumer prices, by contrast, are filtered through corporate pricing decisions, inventories, distribution channels, and end-demand conditions, which creates a longer lag.

Oil prices → PPI: typically reflected within about one month
PPI → CPI: may take roughly one and a half months to pass through
CPI transmission: the key issue is how much reaches final consumer prices

In this CPI release, the rise in oil prices did not immediately pass through to broader consumer inflation.

That was the main reason markets reacted calmly.

That said, some upside pressure could still appear in the next CPI release.

4. Contribution Analysis: Energy Accounted for Most of the Increase

The more important question is not the inflation rate itself, but the contribution by category.

A 3.4% CPI reading reflects the combined effect of multiple components.

What matters is which items drove the increase.

Energy contribution: roughly 1.2 percentage points
Core goods contribution: around 0.1 percentage points
Food contribution: around 0.4 percentage points
Core services contribution: still trending lower

In other words, energy was the main driver of the headline reading.

Core goods and core services did not show a strong reacceleration.

That distinction matters for the Federal Reserve.

The policy response depends on whether inflation is being driven by temporary energy effects or by broader pass-through into goods and services.

5. Housing Inflation Cooling Is Central to Price Stabilization

Housing is the stickiest component in the U.S. CPI basket.

Once housing inflation rises, it tends to remain elevated and has a significant effect on services inflation and core CPI.

For that reason, the Federal Reserve watches housing closely.

In this release, housing inflation slowed to about 3.1%.

That is below prior readings near 3.4% and 3.2%, indicating a gradual but clear cooling trend.

It is also below pre-pandemic levels in some interpretations, which is constructive for inflation moderation.

If housing inflation continues to slow, services inflation should also ease.

That would support further declines in core CPI and strengthen the case for holding rates steady.

6. Real-Time Inflation Indicators Also Point to Disinflation

This CPI report covers August inflation.

Markets naturally ask what current inflation looks like in September.

One useful real-time indicator is Truflation.

Based on Truflation, September inflation is estimated at around 2.26%.

This figure cannot replace official CPI data.

However, when combined with other indicators, it supports the view that inflation has re-entered a disinflationary path.

Wage growth: around 3.1% and slowing
Inflation expectations: stable near 2.4%
Real-time inflation measures: in the low-2% range
Housing inflation: still easing

Slower wage growth is also important for services inflation.

Because labor costs make up a large share of service-sector pricing, easing wage pressure tends to reduce inflationary pressure.

7. PCE Outlook: CPI and PPI Point to Further Moderation

The Federal Reserve focuses more on PCE inflation than CPI.

CPI and PPI are useful as inputs for estimating the PCE trend.

Taken together, the latest CPI and PPI data suggest that PCE inflation may have eased to around 3.6% to 3.7%.

Core PCE may also have slowed to approximately 3.2% to 3.3%.

Expected PCE trend: 4.1% → 3.7% → 3.6% to 3.7%
Expected core PCE trend: 3.4% → 3.3% → 3.2% to 3.3%
Fed assessment: more weight on gradual disinflation than reacceleration

A modest rebound in next month’s CPI cannot be ruled out.

Even so, the broader trend still indicates that inflation has likely moved past its peak.

8. The U.S. Economy Remains Resilient, Increasing the Fed’s Dilemma

U.S. growth remains solid.

Recent growth readings have been cited near 2.1% and 1.5%, while real-time estimates are stronger.

New York Fed Nowcast: about 2.26%
Atlanta Fed GDPNow: about 4.4%
Unemployment rate: still close to full employment
Labor market: no clear sign of a sharp downturn

A resilient economy is positive, but it complicates the Federal Reserve’s task.

Strong growth can sustain demand-side inflation pressure.

At the same time, inflation is moderating, which reduces the need for further tightening.

The key question for the next FOMC meeting is whether inflation is still high enough to justify more tightening, or whether the disinflation trend is sufficient to keep policy unchanged.

9. Market Reaction: Treasury Yields Eased Slightly, Reflecting Relief

Markets were cautious ahead of the CPI release.

After the prior PPI surge, Treasury yields had moved higher and risk sensitivity increased.

Once CPI came in line with expectations, Treasury yields edged lower.

There was no major rally because the data did not produce a downside surprise, but it did ease immediate concerns about another rate hike.

Before CPI: PPI-driven rate hike concerns increased
After CPI: Treasury yields declined modestly
Equities: modest relief possible in the short term
Dollar: stronger rate-hike expectations likely to fade if policy stays on hold

The release sent a clear message that this was not an inflation shock.

However, relief may be temporary if oil-related pressures appear in the next report.

10. Fed Rate Outlook: Greater Weight on a Hold

Based on this CPI release alone, the case for additional Fed tightening has weakened.

The previous PPI print had supported a more hawkish view.

This CPI report, by contrast, supports a hold.

Policy rates are already high.

Even if inflation remains above target, the current rate level is already restrictive enough to deliver tightening effects.

As a result, a hold near 3.75% appears more likely than another rate increase.

That said, the final decision will still depend on incoming data and policymakers’ assessments.

11. Why the U.S. May Diverge from Korea, the Eurozone, and Japan

Following the Middle East conflict, Korea, the Eurozone, and Japan were among the major economies that raised rates.

Each central bank responds to its own inflation and growth conditions.

Other countries tightening policy does not mean the U.S. must do the same.

The U.S. rate level is already elevated.

If inflation is only temporarily firm but the policy rate remains sufficiently restrictive, the Fed can choose to hold.

Even when CPI was at 3.8%, 4.2%, and 3.5%, the Fed did not necessarily need to raise rates further.

At 3.4%, the case for another hike is even weaker.

12. An Underappreciated Factor: Renewed U.S.-China Trade Flows Are Limiting Price Transmission

The most important hidden variable in this CPI report is the resumption of Chinese imports.

Most coverage focuses on oil and the Fed, but supply chains and import structure are critical for inflation pass-through.

Following the May U.S.-China summit, the U.S. appears to have increased imports of IT components and consumer goods from China.

If imports rise after having been constrained a year earlier, year-over-year price increases can mechanically moderate.

That is helping to restrain core goods inflation.

Even if oil prices push PPI higher, larger inflows of Chinese goods can absorb part of the pressure before it reaches CPI.

Higher oil prices: lift producer prices
Expanded Chinese imports: offset goods inflation pressure
Core goods moderation: acts as a buffer against CPI shocks
U.S.-China summit: indirect effect on inflation and markets

This is one of the least discussed but most important factors in the CPI interpretation.

Inflation is not determined by energy alone.

Global supply chains, U.S.-China relations, import costs, and corporate pricing power all matter.

13. The Release Sequence May Also Have Influenced Market Sentiment

Normally, CPI is released before PPI.

This time, due to calendar distortions, PPI was released first and CPI followed.

There is no basis for assuming manipulation.

However, the sequencing can affect market psychology.

PPI surged first, which raised concern.

CPI then came in line with expectations, which eased sentiment.

The result was a sequence of stress followed by relief.

Had the order been reversed, the market tone could have ended differently.

This sequencing effect is often overlooked in headline coverage.

14. Key Points to Watch: September FOMC, Oil Prices, and U.S.-China Relations

The September FOMC is now the most important near-term event.

The Fed will weigh CPI, PPI, PCE, labor market conditions, inflation expectations, and oil prices before deciding on rates.

September FOMC: hold decision is the key issue
Oil prices: will shape the next CPI reading
PCE inflation: the Fed’s most important guidepost
U.S.-China relations: relevant for supply-chain stability and goods inflation
Inflation expectations: critical for the case for additional tightening

If oil prices stabilize, the Fed is likely to lean further toward holding rates steady.

If oil prices rise again and inflation expectations move higher, the case for tightening will re-emerge.

U.S.-China relations remain important.

If tensions ease and trade flows continue, that would support goods-price stability.

If tensions worsen, supply-chain costs could rise and add inflation pressure.

15. Investment Implications

This CPI report can support a short-term relief move in equities.

However, it does not eliminate inflation risk entirely.

Some of the PPI pressure could still pass through to CPI in the next release.

Investors should therefore monitor both the short-term rebound and medium-term volatility.

Equities: short-term support from lower rate-hike fears
Bonds: less upward pressure on Treasury yields
Dollar: weaker rate-hike expectations could reduce upside pressure
Commodities: oil remains the main variable for the next inflation print
Growth stocks: more favorable if rates remain stable

AI semiconductors and technology stocks are sensitive to interest rates.

If the Fed holds and Treasury yields stabilize, valuation pressure on growth equities may ease.

At the same time, semiconductor price strength can contribute to selected product inflation, so investors should consider both the growth and inflation implications of AI investment.

16. Final Assessment: No Inflation Shock, but a Rebound Next Month Cannot Be Ruled Out

This CPI report matched expectations and confirmed further easing in core CPI.

For that reason, it should not be interpreted as an inflation shock.

It instead supports the view that the disinflation trend that began after the May peak remains intact.

At the same time, caution is still warranted.

Oil-driven PPI strength may pass through to CPI with a lag, creating some upside risk in the next release.

For now, this report is supportive of a rate hold.

However, oil prices, inflation expectations, PCE inflation, and U.S.-China developments remain the key variables before the next FOMC meeting.

< Summary >

U.S. CPI came in at 3.4% headline and 2.4% core, in line with expectations.

The central takeaway is that higher oil prices did not immediately pass through into broader consumer inflation.

Cooling in core goods, core services, and housing inflation indicates that disinflation remains intact.

Although the prior PPI increase remains a risk, CPI pass-through occurs with a lag and may only show up partially next month.

The Fed’s policy bias now appears more consistent with holding rates than raising them again.

The most important underappreciated factor is that renewed U.S.-China trade flows and stronger Chinese imports are helping to limit goods-price inflation.

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*Source: [ 경제 읽어주는 남자(김광석TV) ]

– [생방송] 미국 CPI 물가 심층분석 : ‘인플레 쇼크’ 오는가? [즉시분석]

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