● Bond Shock, Oil Spike, AI Crash Risk

Global bond market shock: the real variables are interest rates, the yen carry trade, and the AI investment cycle, not just surging oil prices

The key point in this market is not simply that stocks fell because oil rose.

Higher crude prices renewed inflation concerns, while rising long-term yields unsettled global bond markets.

At the same time, higher Japanese long-term yields are increasing the risk of unwind in the yen carry trade.

In parallel, expanded AI investment by major technology companies supports semiconductor demand, but may also lift corporate bond issuance and put additional upward pressure on yields.

In other words, the market is now being shaped by a multi-layered combination of Middle East risk, inflation, long-term rates, semiconductor equities, and the AI investment cycle.

1. Market summary: higher oil prices -> higher yields -> pressure on technology stocks

Today’s market move was straightforward.

Crude oil rose, and equities fell broadly.

Technology and semiconductor stocks came under particular pressure.

• The energy sector held up relatively well on stronger oil prices.
• Consumer staples also showed resilience as defensive buying returned.
• Technology stocks were broadly weaker.
• Memory semiconductor names such as Micron and SK Hynix fell roughly 1.5% to 2%.
• Apple and Meta were comparatively firm on company-specific factors.

The market mechanism is clear.

Rising risk around the Strait of Hormuz increases concerns about crude supply disruptions, which pushes oil higher.

Higher oil prices revive inflation concerns.

As inflation concerns rise, expectations for Fed rate cuts weaken and long-term yields move higher.

Higher long-term yields weigh on growth and technology stocks, especially AI-related semiconductor names.

2. Why the Strait of Hormuz risk moved markets

The initial trigger for the decline was geopolitical risk around the Strait of Hormuz.

Reports of attacks on tankers increased concern over disruptions to crude supply.

That was followed by news of U.S. strikes on targets linked to Iran’s Revolutionary Guard, further unsettling markets.

The Strait of Hormuz is a critical route for global oil shipments.

When tensions rise there, markets quickly price in higher oil prices.

The issue is that higher oil prices affect more than energy stocks.

• Higher oil prices can lift consumer inflation.
• Higher inflation may prompt central banks to delay easing or reconsider tightening.
• Higher rates increase corporate financing costs.
• Rising financing costs directly pressure valuations in high-growth technology stocks.

This was therefore not simply a case of oil moving on Middle East risk.

It was a move that affected both global bond markets and technology valuations.

3. Why semiconductor stocks were hit more hard

Semiconductor stocks are among the key beneficiaries of AI investment.

However, when long-term yields rise, these names can also become more vulnerable.

The reason is the structure of AI investment by major technology firms.

AI data centers, GPUs, memory, and networking equipment require significant capital expenditure.

If current operating cash flow is not sufficient to fund all investment, companies may increase bond issuance.

Corporate borrowing costs are closely tied to long-term yields.

• Higher long-term yields raise financing costs for large technology firms.
• Higher financing costs raise questions about the pace of AI capex.
• Concerns about slower AI capex can weaken demand expectations for semiconductors.
• That is why memory semiconductor stocks such as Micron and SK Hynix also declined.

In other words, the weakness in semiconductors was not just profit-taking.

It reflected concern that the AI investment cycle may run into a higher-rate environment.

4. Why the global bond market is the larger issue

The most important variable today was bonds, not equities.

Bloomberg’s global bond index showed yields rising to their highest levels since 2008, which increased market anxiety.

Rising bond yields mean falling bond prices.

This bond weakness cannot be explained by a single short-term event.

• Fiscal spending continues to expand in the U.S., U.K., and Japan.
• Rising government debt is leading investors to question long-term repayment capacity.
• More sovereign issuance increases bond supply.
• Greater bond supply pushes prices down and yields up.
• Added corporate issuance from AI capex could reinforce that pressure.

This is the market’s main concern.

Both governments and companies are borrowing more.

As a result, supply pressure in global bond markets is increasing.

That makes it harder for yields to decline meaningfully.

The market is therefore shifting from pricing an imminent easing cycle to pricing a world in which rates may stay elevated for longer.

5. Fed tone shift: rate-cut expectations are weakening, and rate-hike risk is returning

Fed messaging is also becoming more cautious.

Remarks from Fed officials have suggested that if inflation does not cool sufficiently, the possibility of higher rates should remain on the table.

Combined with commentary from other policy figures, markets are becoming more cautious.

This does not mean a rate hike is imminent.

However, markets react first to probabilities, not certainties.

Even a weaker expectation of rate cuts can pressure technology and growth stocks.

• Higher oil prices raise the risk of renewed inflation pressure.
• Higher inflation risk reduces expectations for Fed easing.
• When rate-cut expectations fall, long-term yields remain sticky.
• Rising long-term yields pressure global equity valuations.

6. Why Japanese long-term yields above 3% matter: yen carry trade unwind risk

Another key variable is Japanese rates.

Japanese long-term government bond yields have moved to their highest level in around 30 years and have crossed the 3% level, which matters psychologically and structurally.

More important than the number itself is the market impact of higher Japanese yields.

Japan maintained a near-zero rate environment for an extended period.

That encouraged investors to borrow yen at low rates, convert into dollars, and invest in overseas stocks and bonds.

This is known as the yen carry trade.

The strategy works when Japanese rates are low and the yen is weak.

It becomes less attractive when Japanese rates rise and the yen strengthens.

• Funding costs on yen borrowing increase.
• A stronger yen raises the cost of repaying dollar assets in yen terms.
• Investors may sell overseas equities and bonds to reduce yen liabilities.
• If that happens broadly, global asset markets can face heavy liquidation pressure.

For that reason, higher Japanese yields are not only a domestic issue.

Yen carry trade unwinds can create a global liquidity event affecting U.S. equities, global bonds, and emerging markets.

7. Elon Musk’s G20 comment: AI could expand the global economy by 20% to 30%

While rates and bond risks are rising on one side of the market, AI growth expectations remain strong on the other.

At the G20 meeting, Elon Musk said AI could increase the global economy by 20% to 30%.

That implies a potential annual economic impact of roughly $20 trillion to $30 trillion.

The estimate is aggressive.

It reflects the view that AI could reshape productivity, labor efficiency, software automation, robotics, and data center investment across industries.

The important point is not simply that AI is positive.

AI can support long-term growth while also creating substantial capital needs that add pressure to bond markets.

AI is therefore both a growth opportunity and a source of higher funding demand.

8. Why Apple was relatively strong: leadership transition expectations

Apple held up better than the broader technology sector.

Market attention was focused on leadership transition expectations and John Ternus.

Ternus is known internally as a hardware engineering leader at Apple.

He studied mechanical engineering at the University of Pennsylvania and has long experience overseeing hardware development at Apple.

His background spans iPad, AirPods, iPhone, Mac, Apple Watch, and Vision products.

One area of particular interest is the Apple Silicon project.

Apple successfully moved the Mac line from Intel processors to its own custom chips.

That transition required changes across hardware, software, supply chains, and the developer ecosystem.

• Tim Cook is viewed as strong in supply chain management, operations, and efficiency.
• John Ternus is seen as a candidate for more product- and engineering-driven leadership.
• The market is watching whether Apple can build a new innovation cycle.

Apple’s relative strength appears tied more to expectations for the next product cycle than to near-term earnings alone.

9. OpenAI advertising: annualized revenue above $1 billion in less than 200 days

OpenAI also reported a significant development.

Its advertising business reportedly exceeded an annualized revenue run rate of $1 billion in less than 200 days.

That pace is very fast.

The figure may also reflect efforts to strengthen market expectations ahead of a potential listing.

Still, the revenue growth indicates that AI services are moving beyond product demos toward durable business models.

The key area to watch is advertising.

If AI chat interfaces become tools for search, recommendations, shopping, and productivity, the structure of digital advertising could change.

Traditional advertising has relied on search pages or feeds.

Future AI interactions may integrate brand, product, or service recommendations directly into conversations.

AI advertising may become a new platform category after search and display advertising.

10. OpenAI Codex growth: AI agent traffic is accelerating

Usage of OpenAI’s coding agent Codex is also rising sharply.

Developer feedback has improved, and user activity has increased as the product has become more capable.

Earlier ChatGPT traffic was mainly based on human prompts and AI responses.

Now, AI agents are increasingly performing tasks on their own.

• The user assigns a coding task.
• The AI writes the code.
• The AI detects and fixes errors.
• The AI iterates through multiple steps to complete the work.

This requires far more tokens and compute than a single question-and-answer interaction.

As a result, AI agent adoption is directly linked to demand for data centers, GPUs, and memory semiconductors.

From a bond-market perspective, however, this also creates pressure.

As AI usage rises, capital spending by large technology firms continues to expand, increasing financing needs.

AI is therefore a growth story for equities, but potentially a supply-side burden for global bond markets.

11. Why Meta was stronger: Muse Code and business-agent expectations

Meta also traded relatively well.

The move appears to reflect AI product expansion expectations rather than one single catalyst.

Meta launched Muse Code, its coding AI product.

Early traction appears constructive.

Reports also suggested that Meta’s Muse Code ranked among the most-used products shortly after launch in open-source code-related metrics.

Initial usage does not guarantee long-term success.

However, it does show that Meta is starting to launch AI products that appear practically usable.

Meta’s broader strategy centers on business agents.

The company is developing AI employees for small businesses and merchants.

These agents could provide 24-hour customer support through WhatsApp, Messenger, and Instagram.

• They can answer customer questions automatically.
• They can recommend products.
• They can assist with bookings.
• They can support conversion into sales.
• They can begin as tools for analyzing customer behavior and revenue flow.

This is more than a chatbot.

For small businesses, it is a digital employee working around the clock; for Meta, it is a new revenue model beyond advertising.

12. Meta’s Brand Linking: chat messages could become advertising inventory

One of the most notable ideas is Meta’s Brand Linking model.

A monthly subscription of around $10 to $30 could allow brand names mentioned in conversations to become clickable links automatically.

For example, if a user sends a message saying, “I went to XX Cafe yesterday and liked it,” the brand name could become a clickable link.

The model may begin as a subscription feature and later expand into an auction-based advertising system.

The significance is that it changes the definition of ad inventory.

• Google turned search terms into advertising inventory.
• Naver did the same with search results and keywords.
• Meta may turn words inside chat messages into advertising inventory.

This may be inconvenient for users, which makes implementation important.

Still, if adopted smoothly, it could expand Meta’s advertising model further.

The concept may also offer a useful reference for messaging platforms such as KakaoTalk.

If brand mentions, bookings, payments, and recommendations are connected inside chat, messaging platforms become commerce platforms rather than simple communication tools.

13. The most important point not often emphasized in other reports

The key issue in this market is that both “AI is good, so semiconductors rise” and “rates are rising, so technology stocks fall” can be true at the same time.

Many market commentaries treat these as separate narratives.

In practice, they are connected within a single structure.

Key point 1. AI investment increases semiconductor demand, but it can also increase bond supply

AI data center investment boosts demand for GPUs, HBM, SSDs, and networking equipment.

That supports semiconductor companies over the long term.

However, if the funding comes through corporate bond issuance, bond supply rises.

Greater bond supply puts upward pressure on yields.

Higher yields then pressure semiconductor valuations again.

AI investment therefore creates opposite effects in equity and bond markets.

Key point 2. Japanese rates are a hidden switch for global liquidity

Higher Japanese yields are not only a domestic issue.

If the yen carry trade unwinds, global equities and bonds can both come under selling pressure.

In that case, even high-quality companies can be sold temporarily because the issue is liquidity, not fundamentals.

Key point 3. AI advertising may be the next major platform transition after search advertising

The direction from OpenAI and Meta is clear.

AI is evolving from a response tool into a business platform that connects advertising, recommendations, bookings, and sales.

In particular, Meta’s Brand Linking concept could turn the conversation itself into advertising inventory.

That would be a more embedded and commercially useful model than traditional feed advertising.

14. Key market variables to monitor

• Crude oil: Continued tensions around the Strait of Hormuz could renew inflation pressure.
• U.S. long-term yields: The main valuation driver for technology and semiconductor stocks.
• Global bond markets: Rising sovereign and corporate supply may limit yield normalization.
• Japanese rates and the yen: Important for assessing yen carry trade unwind risk.
• AI capex: The pace of big-tech data center investment will shape semiconductor demand.
• AI monetization: OpenAI and Meta’s advertising models may become the next growth drivers.

15. Overall framework

This market is not simply a risk-off episode.

It is a multi-factor environment linking oil, rates, bonds, the yen, and AI investment.

Higher oil prices lift inflation pressure.

Inflation pushes long-term yields higher.

Higher yields pressure technology and semiconductor stocks.

At the same time, AI investment raises long-term growth expectations while also creating bond-market funding pressure through potential corporate issuance.

If Japanese yields rise further, global liquidity risk may increase.

For now, the focus should be less on buying every pullback and more on monitoring rate and liquidity conditions closely.

< Summary >

Higher crude prices and Strait of Hormuz risk have renewed inflation concerns.

Global bond markets have become more unsettled as yields move to their highest levels since 2008.

Fiscal expansion in the U.S., U.K., and Japan, together with possible AI-related corporate issuance, is adding to bond supply pressure.

Higher Japanese yields raise the risk of a yen carry trade unwind, which could affect global asset markets.

Semiconductor stocks remain supported by AI demand, but are vulnerable to higher long-term rates.

OpenAI and Meta are expanding AI monetization through advertising, coding AI, and business agents.

The central issue is that AI growth expectations and higher-rate pressure are now operating at the same time.

[Related Articles…]

• Global Bond Shock and Long-Term Yield Outlook
• AI Investment Cycle and Big Tech Monetization Strategy

*Source: [ 내일은 투자왕 – 김단테 ]

– 글로벌 채권 시장 박살. 더 큰 문제가 될 수 있습니다.

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● Rate Shock, Oil Surge, Market Hit

U.S. 10-Year Treasury Yield Hits Year-to-Date High; Japan’s Long-Term Yields Reach 30-Year Highs — Oil, Diesel, and AI Corporate Bonds Shake Wall Street

The key issue in today’s market is not simply that the Nasdaq declined.

The U.S. 10-year Treasury yield rose to around 4.78%, while Japan’s long-term yields reached levels not seen in 30 years, pressuring global risk assets.

In addition, oil prices jumped after reports of attacks on tankers in the Strait of Hormuz, raising concern that diesel supply constraints could push up freight costs and inflation.

Even within the seemingly calm corporate bond market, roughly $1 trillion of investment-grade bonds is now being treated by the market as if it were lower-rated debt.

These developments are also linked to AI data center investment, large-scale bond issuance by major technology firms, the YouTube-Amazon shopping partnership, and Salesforce’s bet on AI software.

1. New York market: equities sold off as rates and oil moved higher at the same time

Early trading on September 1 reflected broad risk aversion.

Dow futures fell about 0.6%, while S&P 500 futures declined about 0.7%.

Nasdaq 100 futures were the weakest, falling more than 1.3% in early trading.

Small-cap Russell 2000 futures also posted losses of around 0.5% to 0.7%.

• Dow futures: about -0.5% to -0.6%
• S&P 500 futures: about -0.7%
• Nasdaq 100 futures: about -1.3%
• Russell 2000: about -0.5% to -0.7%
• VIX: around 17, up about 2%

The selloff was driven by three simultaneous factors.

First, geopolitical tensions in the Middle East pushed crude oil back above $90 per barrel.

Second, renewed inflation concerns drove U.S. Treasury yields sharply higher.

Third, rate-sensitive growth and semiconductor shares came under pressure.

2. Crude oil surges: Brent breaks above $92 as Strait of Hormuz risks re-emerge

The market shock began with developments in the Strait of Hormuz.

News that two very large crude carriers had been hit sparked concern over potential supply disruptions.

Each vessel was reported to be carrying roughly 2 million barrels of Saudi crude.

There were no reported casualties or oil spills, but the absence of clarity over the perpetrator heightened market sensitivity.

• WTI crude: up about 2.8%
• Brent crude: up about 2.4%
• Brent price: above $92 per barrel
• Market reaction: renewed supply concerns, inflation fears, and higher rate pressure

The Strait of Hormuz is a critical bottleneck for global oil transportation.

Any attack on tankers in this corridor is treated not merely as a geopolitical event but as a direct energy supply-chain risk.

As a result, the oil rally should not be viewed as a short-lived headline event.

Higher crude prices raise energy costs for companies and can feed back into consumer and producer inflation.

3. The more important issue: diesel supply tightness is more concerning than crude oil

The most important point in this briefing is not crude oil itself, but diesel.

Diesel is directly tied to the real economy through trucking, shipping, heavy equipment, and some power-generation uses.

Even if crude oil rises, the broader macro impact becomes more significant when diesel prices rise faster than crude.

The report indicated that diesel crack spreads rose above $100 per barrel.

A diesel crack spread reflects the price difference between crude oil and refined diesel products.

A wider spread suggests the market is seeing a tighter diesel supply situation than crude supply.

• Strait of Hormuz risk: concerns over disruptions to Middle Eastern oil and diesel shipments
• Russian refinery damage: pressure on diesel production and exports following drone attacks
• Higher freight costs: increased fuel expense for trucks and ships
• Inflation pass-through: potential impact on food, consumer goods, and manufactured products

This matters because crude oil shocks can remain confined to the energy sector, while diesel price increases tend to spread across the broader economy.

Diesel costs affect groceries, household goods, industrial shipments, and imports moving through ports and inland transport networks.

For that reason, diesel supply tightness is a direct channel for renewed inflation pressure.

4. U.S. 10-year Treasury yield near 4.78%: the direct driver of technology stock weakness

Rising oil prices and inflation concerns pushed U.S. Treasury yields higher.

The U.S. 10-year Treasury yield reached around 4.78% to 4.79%, near its year-to-date high.

The 30-year Treasury yield also rose to around 5.27%.

• U.S. 10-year Treasury yield: about 4.78% to 4.79%
• U.S. 30-year Treasury yield: about 5.27%
• Drivers: higher oil prices, inflation concerns, Treasury supply, and AI-related corporate bond issuance

Higher 10-year yields pressure equity valuations, especially for growth stocks.

Semiconductors, software, and AI-related companies are more vulnerable because a larger share of their valuation depends on future earnings.

That is why the Nasdaq underperformed the Dow, and why shares such as Nvidia and AMD saw notable declines.

5. Global rate shock: not only a U.S. issue, but also Japan, Korea, and Australia

The rise in yields is not limited to the United States.

Japan’s long-term yields reached their highest levels in 30 years, while a global 10-year sovereign yield index climbed to its highest level since the financial crisis.

• Japan long-term yields: highest level in 30 years
• U.S. 10-year Treasury: about 4.76% to 4.79%
• Korea 10-year yield: about 4.37%
• Australia 10-year yield: above 5.1%
• Global 10-year sovereign yield index: about 3.72%, highest since 2008

The common drivers are similar across markets.

Governments are increasing bond issuance to finance fiscal deficits.

At the same time, major technology companies are issuing large amounts of debt to fund AI data center and infrastructure investment.

The combined effect is greater competition for capital, which pushes borrowing costs higher.

6. Why Japan’s rate move matters: risk of unwinding in the yen carry trade

Rising Japanese yields are not simply a domestic story.

Japan has long been a source of cheap funding for global markets.

For years, investors borrowed yen at low cost and converted the proceeds into dollar assets, including U.S. equities, global bonds, and emerging market assets.

This is known as the yen carry trade.

As Japanese long-term yields rise, that dynamic changes.

Borrowing in Japan becomes more expensive, and Japanese government bonds become more attractive relative to foreign investments.

As a result, capital may flow back to Japan from overseas assets.

That could increase volatility in U.S. equities, global bonds, emerging market currencies, and KRW-denominated assets.

This is the key point often overlooked in market commentary.

Higher Japanese yields may signal not just a domestic rate move, but a broader withdrawal of global liquidity.

7. Dollar strength and KRW pressure: higher oil and a stronger dollar create a double burden for Korea

The dollar index held firm around 99.5 to 99.6.

When U.S. yields rise and inflation concerns intensify, the dollar typically strengthens.

By contrast, the euro, yen, pound, and Canadian dollar weakened.

• Dollar index: about 99.5 to 99.6
• Euro: weaker versus the dollar
• Yen: weaker versus the dollar
• Pound: weaker versus the dollar
• Impact on KRW: higher imported energy costs and FX pressure

This combination is unfavorable for Korea.

Korea depends heavily on energy imports.

When crude prices rise and the dollar strengthens, the local-currency cost of imported energy increases further.

That can affect the trade balance, inflation, corporate margins, and consumer sentiment.

8. Cross-asset reaction: gold, silver, and Bitcoin also weakened

Although geopolitical tensions would normally support safe havens, gold and silver also fell on the day.

The main reasons were dollar strength and higher Treasury yields.

Because gold does not pay interest, its relative appeal declines when bond yields rise.

• Gold: down about 2%
• Silver: down about 2%
• Bitcoin: down about 1.5%, around $78,000
• VIX: around 17, higher on the day

Bitcoin also traded lower as it continued to be treated as a risk asset.

This was not a simple “war risk equals safe-haven buying” market.

The key factor was that higher rates lifted discount rates across nearly all asset classes.

9. Sector performance: semiconductors declined, while energy, health care, and staples held up

Sector moves were clear.

Technology and semiconductors, which are most sensitive to rates, weakened, while energy and defensive sectors outperformed.

• Nvidia: down about 1.7% at the open, later falling by more than 2%
• AMD: down about 2.3% to 3%
• Intel: down about 3%
• Micron: down about 2%+
• Meta, Amazon, Tesla: broadly weaker
• Apple: initially weaker, then partially recovered

Energy shares benefited from higher crude prices.

Health care and consumer staples also held up as defensive groups.

• Energy stocks: supported by higher oil prices
• Eli Lilly: up about 1%+
• Johnson & Johnson: up about 1%+
• AbbVie: up about 1%+
• Walmart and Costco: relatively strong as defensive names

This pattern shows that investors are prioritizing cash flow, defensiveness, pricing power, and energy exposure over pure growth.

10. Wall Street view: the rise in yields may not be a short-term event

Wall Street increasingly expects long-term yields to remain elevated.

Bloomberg’s Mark Cudmore noted that persistent inflation and large fiscal deficits in the U.S., Japan, the U.K., and France are making the bond market environment more difficult.

Nuveen’s Laura Cooper said the next direction for yields is more likely higher than lower.

That implies investors may demand greater compensation for holding long-duration bonds.

Oil was the immediate trigger for today’s rate spike, but the structural pressures remain in place.

Fiscal deficits, rising bond issuance, AI-related capital demand, and inflation uncertainty are all still present.

Even if oil stabilizes temporarily, it is not clear that long-term yields will quickly return to prior levels.

11. Corporate bond market: calm on average, but about $1 trillion is flashing warnings

The corporate bond market still appears stable on the surface.

The average spread on U.S. investment-grade corporate bonds is about 0.78 percentage points.

The average spread in Europe is about 0.79 percentage points.

These are close to post-financial-crisis lows.

A lower spread means the market sees relatively low default risk across the investment-grade universe.

However, the issue is not the average, but individual bonds.

• U.S. investment-grade bonds trading below rating-implied levels: about $580 billion
• European equivalent: about $400 billion
• Total: about $1 trillion

In other words, many bonds rated A or AA are being priced by the market as if they were lower-rated credits.

This suggests markets may be pricing in risk before rating agencies do.

12. Why investment-grade bonds trade like lower-rated debt

The reasons vary by sector and issuer.

First, major technology firms are funding large-scale AI data center investment.

Such projects require substantial capital for power, servers, semiconductors, real estate, and cooling systems.

As these companies issue more debt, supply increases and bond prices can fall even when credit quality remains high.

Second, the auto sector is under pressure.

Chinese automakers are expanding overseas as domestic demand slows, intensifying price competition globally.

U.S. and European automakers may face margin pressure as a result.

Third, the software sector faces uncertainty.

There is growing concern that AI could reduce demand for some enterprise software products.

Fourth, insurers and private credit exposure are under scrutiny.

Concerns over private lending performance may also be affecting insurance balance sheets.

13. Why equity investors should watch corporate bond spreads

Corporate bond spreads are not only relevant for bond investors.

They can also serve as an important leading indicator for equity investors.

If share prices continue rising while bond spreads widen, the bond market may already be signaling financial stress.

This is especially important in the AI cycle.

AI data center investment supports growth expectations, but it also increases debt and interest expenses.

Companies with strong cash flow can absorb this pressure, but firms without earnings support may face sharper strain in a higher-rate environment.

For that reason, “AI as a theme” is no longer sufficient on its own.

Investors should also assess revenue growth, free cash flow, leverage, interest coverage, and bond issuance terms.

14. SB Energy IPO: can AI data center expectations justify a $50 billion valuation?

SB Energy, a data center developer backed by SoftBank, has filed to go public in the United States.

The company is expected to trade on Nasdaq under the ticker SBE.

Its target valuation is reportedly above $50 billion.

• Company: SB Energy
• Planned ticker: SBE
• Business model: joint development of AI data centers and power infrastructure
• Target valuation: above $50 billion
• First-half revenue: about $138.7 million
• First-half net loss: about $3.21 billion
• Operating data centers: none currently
• Expected backlog: about $43.9 billion
• Major customers and partners: SoftBank, OpenAI, and others
• Nvidia: reported planned investment of about $1.5 billion at the IPO price

This IPO will serve as an important test of how the market values AI data center infrastructure.

Current earnings are weak, but future demand expectations are substantial.

The key question is whether the market will support a valuation above $50 billion on that basis.

Investors should remain cautious.

AI infrastructure demand is strong, but data centers are highly capital-intensive.

Power access, cooling systems, land, server investment, regulation, and the durability of long-term customer contracts all matter.

In a higher-rate environment, valuation standards for loss-making companies are likely to remain strict.

15. Salesforce’s HiBob investment: a counter-bet against the view that AI will kill software

Salesforce has also invested in HiBob, an HR software company.

HiBob raised a total of $160 million, with Salesforce reportedly contributing a significant portion.

The company was valued at more than $3.2 billion in the transaction, about 20% above its 2023 level.

• Target: HiBob
• Business: HR software for recruiting, payroll, and compensation management
• Client base: about 5,500 companies across 170 countries
• Main competitor: Workday
• Valuation: above $3.2 billion

Software companies have recently faced pressure from concerns that AI could disrupt their models.

The argument is that if enterprises can build tools directly with AI, demand for traditional software may weaken.

Salesforce is taking the opposite view.

Its approach is that software will not disappear, but will instead evolve into more capable platforms through AI agents.

HR software in particular handles sensitive data such as payroll, personal information, reviews, and compensation.

Because security and regulation matter, it is not easily replaced by generic generative AI tools.

In that context, Salesforce’s investment in HiBob is a useful example of how AI may enhance rather than replace certain software categories.

16. YouTube and Amazon shopping alliance: expanding commerce to counter TikTok Shop

YouTube is expanding its shopping business through a partnership with Amazon.

Creators will be able to tag Amazon products directly in videos and live streams.

If viewers purchase through those links, creators will receive a share of the revenue.

• YouTube: shopping-related content generates more than 100 million hours of global viewing per day
• Current weakness: weaker conversion from viewing to purchase compared with TikTok Shop
• Amazon: broad product selection plus payments and logistics infrastructure
• Creators: additional monetization opportunities through product tagging
• Alphabet: expanded revenue beyond advertising and subscriptions

The partnership addresses the strengths and weaknesses of both companies.

YouTube has massive traffic but weaker direct conversion into purchases.

Amazon has a strong commerce infrastructure but needs more content-driven discovery.

Together, the two companies could build a stronger commerce ecosystem to compete with TikTok Shop.

YouTube shopping transaction value has reportedly increased 13-fold over the past two years.

More than 1 million creators are now participating.

The key question is how much this revenue stream can contribute to Alphabet’s overall earnings mix.

17. The key issue often missed: AI growth and rate pressure are now in direct conflict

Many headlines summarize today’s move as an oil-driven equity selloff.

However, the more important structure is different.

The market is now in a phase where AI investment demand and government bond supply are both pushing yields higher.

AI data centers are a core part of future growth infrastructure.

But they require significant capital.

That capital is raised through equity issuance, corporate bonds, bank loans, and project finance.

In other words, the stronger the AI investment cycle becomes, the greater the absorption pressure on bond markets.

At the same time, governments continue issuing debt to finance fiscal deficits.

When governments and AI companies are both borrowing heavily, yields are unlikely to fall easily.

This is the fundamental pressure behind the current weakness in technology valuations.

The key question is not simply whether AI demand is real.

The more important question is whether cash flow will eventually match that demand.

If revenues rise more slowly than losses, debt issuance grows, and rates keep rising, equity markets are likely to become more selective.

18. Key indicators investors should monitor

• U.S. 10-year Treasury yield: whether it breaks above 4.8% is critical for further pressure on technology stocks
• U.S. 30-year Treasury yield: whether it remains above 5.3% will affect long-duration valuation pressure
• Brent crude: whether it stays above $90 will influence inflation expectations
• Diesel crack spread: a leading indicator for freight costs and real-economy inflation pressure
• Dollar index: important for KRW and emerging-market volatility
• Corporate bond spreads: may signal financial stress before equities do
• AI corporate bond issuance: important for assessing the sustainability of the AI investment cycle
• Japan long-term yields: critical for monitoring potential unwinding of the yen carry trade

19. Investment strategy: focus on stock selection rather than index direction

The market is currently characterized by index-level volatility and widening dispersion beneath the surface.

In this environment, investors should focus less on whether the Nasdaq or S&P 500 rises or falls, and more on company-level balance sheets and cash generation.

AI-related companies with strong cash flow and low leverage may remain attractive on weakness.

By contrast, companies with widening losses and heavier dependence on debt issuance are more vulnerable in a higher-rate environment.

Energy and defensive sectors may continue to outperform in the near term, but they are also likely to remain volatile after the initial oil shock.

Accordingly, a disciplined approach that tracks rates, oil prices, earnings, and corporate bond market behavior is preferable to chasing momentum.

< Summary >

The U.S. 10-year Treasury yield rose to around 4.78%, pressuring technology stocks and the Nasdaq.

Brent crude moved above $92 after attacks on tankers in the Strait of Hormuz, while diesel supply tightness is increasing freight and inflation risks.

Rising Japanese yields raise the possibility of yen carry trade unwinding, making global liquidity conditions more important.

Corporate bond spreads remain calm on average, but about $1 trillion of investment-grade debt is trading like lower-rated bonds.

AI data center expansion is supporting growth expectations, but it is also increasing rate and leverage pressures.

At present, investors should focus on company cash flow, leverage, bond issuance terms, and the economics of AI investment rather than index direction alone.

[Related Articles…]

• Global Rate Surge and U.S. Treasury Outlook
• AI Data Center Investment and Corporate Bond Market Shifts

*Source: [ Maeil Business Newspaper ]

– 미 10년물 연중 최고·일본 금리 30년 만의 기록ㅣ운송비 밀어 올리는 디젤 공급난ㅣ회사채 1조달러, 시장에선 이미 낮은 등급 취급ㅣ홍혜진의 뉴욕브리핑

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