30-Year Treasury Yield Breaks 5% Again: The Era of 'Everything Is Cheap' Is Over

marsbitОпубліковано о 2026-06-01Востаннє оновлено о 2026-06-01

Анотація

The yield on the 30-year U.S. Treasury bond has again surpassed 5%, signaling a fundamental shift as markets begin to accept that high interest rates are here to stay. This reflects the simultaneous breakdown of three pillars that underpinned half a century of low inflation and low rates: cheap capital, cheap labor, and cheap energy. Global capital flows are shifting, energy security is strained, and labor costs are rising due to shortages and unionization, though partly offset by AI's impact. Long-term pressures like soaring government debt, geopolitical friction, and populism are also pushing up long-term borrowing costs. The role of AI remains the biggest uncertainty—it could boost productivity and lower debt or become a new source of inflation if it merely automates jobs while consuming vast resources. The core challenge for investors is adapting their models and expectations, calibrated during decades of cheap money, to this new, more persistent high-rate environment.

The yield on the 30-year Treasury bond has once again broken through 5%. This time, the market's reaction is markedly different from that in 2023—investors are beginning to truly accept the reality that high interest rates will persist for a long time.

Analysis points out that behind this lies a deeper structural shift: the three pillars supporting low inflation and low interest rates in the U.S. over the past 50 years—cheap capital, cheap labor, and cheap energy—are simultaneously eroding. And the direction of AI will be the biggest unknown determining future inflation trends.

The yield on the 30-year U.S. Treasury bond recently broke through 5% again. Writing in the Financial Times, columnist Rana Foroohar points out that, unlike the brief breach of 5% in 2023 followed by a rapid decline, this time the market's reaction is distinctly different—investors finally seem to be truly accepting the reality that the U.S. is bidding farewell to the era of low interest rates and entering a new phase with more persistent and diverse inflationary pressures.

The article cites a recent report to clients by Apollo chief economist Torsten Sløk, which states, "Investors should position their portfolios for a persistent high interest rate environment in the short, medium, and long term."

Behind this lies a larger structural story: the three cheap factors that drove U.S. economic growth over the past 50 years—cheap capital, cheap labor, and cheap energy—are simultaneously reversing.

How Did Half a Century of "Cheap Dividends" Come About?

The nearly half-century-long downward trend in the 30-year Treasury yield, falling from around double-digit percentages in the early 1980s to about 1% during the pandemic, was not an accident.

It was underpinned by a complete macro logic:

Cheap Capital: Decades of globalization and manufacturing technology advancements kept goods prices low; oil-exporting countries recycling massive petrodollars into the U.S. provided ample cheap funding; pension privatization reforms spurred enormous demand for various financial products; global investors vied to buy U.S. Treasuries, as no country was safer than America.

Cheap Labor: Outsourcing of industries, weakening of unions, automation waves, and the "shareholder primacy" corporate culture (emphasizing financial engineering over employee investment) collectively suppressed wages, especially for non-college-educated workers, persistently supporting corporate profit margins.

Cheap Energy: The petrodollar system helped curb inflation to some extent, and the global energy trade being settled in dollars also reinforced the dollar's global dominance.

These three pillars jointly supported half a century of low-inflation, low-interest-rate prosperity in the U.S.

The Three Pillars Are Simultaneously Loosening

In her article, Rana Foroohar notes that each of these supporting factors is now changing.

On the Capital Front: With each U.S. Treasury auction, international buyers are decreasing, not increasing. Deglobalization and supply chain reshoring will push up goods and services prices in the short term. Meanwhile, the foundation of the petrodollar system is being eroded.

On the Energy Front: Continued tensions in the Middle East directly impact Asian energy-importing countries. But in the longer term, this may accelerate the deployment of clean energy in major Asian nations—while the U.S. is retreating from climate commitments. This means long-term capital flows may shift from the U.S. to major Asian countries.

On the Labor Front: In recent years, labor shortages, large-scale strikes (including successful union action in the auto industry), tighter immigration restrictions, and growth in union membership in some sectors (especially white-collar industries) have all pushed wages higher. However, this trend is being partly offset by two factors: one is rising corporate healthcare insurance costs, leading companies to hedge by suppressing wages; the other is the impact of artificial intelligence.

And Then There Are the Slow Variables: Debt, Geopolitics, and Populism

In addition to the explicit factors above, there are several "slow variables": rising government debt, intensifying geopolitical friction, and the spread of populism.

The combined effect of these risks is that lenders demand a higher risk premium to lend money out—especially for terms of several years.

This directly pushes up long-term interest rates, i.e., the yield on the 30-year Treasury bond.

AI: Savior or New Source of Inflation?

Of all the variables, the direction of artificial intelligence is the most difficult to judge, yet its impact could be the most far-reaching.

Rana Foroohar outlines two starkly different scenarios:

The Optimistic Scenario: The productivity benefits of AI diffuse widely across industries and individuals, creating new jobs and income sources. Models from Yale's Budget Lab show that in this scenario, U.S. national debt would fall significantly, and inflation would also recede.

The Pessimistic Scenario: AI serves merely as a tool for corporate layoffs, cost compression, and profit expansion, while the infrastructure construction of AI itself (consuming vast amounts of chips, land, water, and electricity) creates new inflationary pressures. The net effect is to raise, not lower, costs. Governments would also be forced to bail out displaced workers, increasing debt instead.

Currently, AI giants are voraciously consuming real estate, chips, water resources, and electricity, already pushing up the prices of these resources in the overall economy. The final outcome will likely take years to become clear.

The Real Challenge Facing Investors

The article's conclusion is direct and sobering: Most market participants have spent their entire careers in the "cheap era." Their intuition, models, and expectations were calibrated in a low-interest-rate environment.

And now, that environment is changing.

"Expectational inertia" is a powerful force—when the 30-year yield broke 5% in 2023, many thought it was just a brief anomaly that would soon recede. But this time, the market's reaction is already different.

Adjusting means abandoning old expectations. For investors accustomed to low interest rates, that is no easy task.

Пов'язані питання

QWhat is the main reason behind the recent sustained rise in the 30-year US Treasury yield above 5%, according to the article?

AThe main reason is a deeper structural shift where the three pillars supporting low inflation and low interest rates in the US for the past 50 years—cheap capital, cheap labor, and cheap energy—are simultaneously eroding, leading investors to accept that a high-rate environment is here to stay.

QWhat were the three 'cheap pillars' that drove US economic growth for half a century?

AThe three pillars were cheap capital (from globalization, petrodollar recycling, and high demand for safe US debt), cheap labor (due to outsourcing, weaker unions, automation, and a 'shareholder-first' culture), and cheap energy (supported by the petrodollar system).

QHow might Artificial Intelligence (AI) contribute to future inflation, based on the pessimistic scenario described in the article?

AIn the pessimistic scenario, AI does not boost broad productivity but is used mainly for cost-cutting and layoffs. Meanwhile, AI infrastructure itself (consuming chips, real estate, water, and electricity) creates new inflationary pressures. Governments may also need to bail out displaced workers, increasing debt.

QBesides the three main pillars, what other 'slow-moving' factors are contributing to higher long-term interest rates?

AOther factors include rising government debt, increasing geopolitical friction, and the spread of populism. These factors increase risk premiums, meaning lenders demand higher yields for long-term loans, which pushes up long-end rates like the 30-year Treasury yield.

QWhy is adjusting to the new high-rate environment particularly challenging for investors, as stated in the article's conclusion?

AAdjusting is challenging because most market participants have spent their entire careers in the 'cheap era' of low interest rates. Their instincts, models, and expectations are calibrated for that environment, creating a powerful 'expectational inertia' that makes it difficult to abandon old assumptions.

Пов'язані матеріали

From Parallel Finance to Mainstream Finance: The On-Chain Securities Era Ushers in a Historic Window

From Parallel Finance to Mainstream: The Dawn of On-Chain Securities For over a decade, the crypto industry has operated as a parallel financial system with its own currencies, markets, and assets—from Bitcoin and ICOs to DeFi, NFTs, and memecoins. Despite building a robust internal ecosystem, a wall has separated it from the traditional financial world. That barrier is now crumbling. The industry's first act was one of internal evolution: ICOs streamlined fundraising, DeFi recreated financial services on-chain, and layer-2 networks competed for scalability—all within the crypto bubble. While innovative, this cycle remained closed, with capital and users circulating internally, leading to volatile boom-bust cycles. Even Bitcoin ETFs, while attracting Wall Street capital, merely provided a channel to buy crypto assets without bridging the systems. The next, larger narrative is Real-World Assets (RWA) moving on-chain. This involves tokenizing stocks, bonds, funds, and future cash flows. Blockchain can compress the complex traditional processes of trading, settlement, clearing, and custody into a seamless, automated network operating in seconds. This shift is creating a new financial gateway: the native crypto securities broker. This entity will combine functions of an exchange, broker, bank, and custodian into a unified global financial operating system. Consequently, the next major battleground won't be the "public chain wars" focused on speed and cost, but the competition to build the financial infrastructure capable of hosting high-quality, liquid real-world assets. Access to global equities, index funds, or stakes in companies like SpaceX could erase the boundary between crypto and traditional finance, unlocking a market orders of magnitude larger than crypto's current valuation. In summary, after years of creating a separate financial world, crypto's next decade will be defined by its integration into the existing global financial system, marking the true beginning of its largest growth story.

marsbit10 хв тому

From Parallel Finance to Mainstream Finance: The On-Chain Securities Era Ushers in a Historic Window

marsbit10 хв тому

Wang Chuan: When the Neighbor Old Wang Made 30x on Memory Stocks, How to Avoid Anxiety (Part Six) - The Trap of Commoditized Goods

Wang Chuan: When the Neighbor Lao Wang Made 30x on Storage Stocks, How to Stay Anxiety-Free (Part 6) - The Trap of Commoditized Goods. This essay uses historical and current examples to analyze the cyclical and high-risk nature of the data storage industry. It begins with the 1990s rise and dramatic fall of Iomega, whose stock soared over 160x in 18 months before collapsing 97% from its peak, illustrating the fleeting success of storage "meme stocks." The core problem is that storage products, like DRAM and flash memory, are highly commoditized. This leads to extreme volatility: prices have plummeted over 80% multiple times, and company stocks often crash 95% or go bankrupt. The industry's dynamic is defined by "elastic demand facing heavy-asset, long-cycle, rigid supply." When demand spikes and supply is fixed, prices skyrocket, as seen recently with AI-driven demand for High Bandwidth Memory (HBM). Companies like Sandisk and Micron have reported massive revenue and gross margin jumps (e.g., Sandisk's gross margin rising from 22.5% to 78.3%) despite minimal increases in production volume. However, these high margins are self-defeating. They incentivize massive new capacity investments (hundreds of billions planned from 2026), with supply expected to surge by late 2027. Once new supply meets demand, prices and profits will crash, potentially leading to a scenario where "selling more results in earning less." The article debunks the safety of long-term supply agreements, comparing them to fragile non-aggression pacts easily broken when market conditions shift. It warns that when an industry is highly profitable but trades at low P/E ratios, the risk is greatest, as plummeting prices quickly erase those earnings. Multiple asymmetric risks loom, including economic recession, reduced AI spending, faster-than-expected capacity expansion (especially from Chinese firms), and technological innovations that reduce memory requirements. In conclusion, the storage sector is a cyclical trap where periods of euphoric profits are often precursors to devastating downturns, luring unprepared investors into a "wealth incinerator."

marsbit19 хв тому

Wang Chuan: When the Neighbor Old Wang Made 30x on Memory Stocks, How to Avoid Anxiety (Part Six) - The Trap of Commoditized Goods

marsbit19 хв тому

Wang Chuan: When the neighbor Lao Wang earned thirty times from investing in memory storage stocks, how can you still avoid anxiety (6) - The trap of homogeneous products

The article, "Wang Chuan: How to Remain Unanxious After Neighbor Lao Wang's Thirty-Fold Gain on Storage Stocks (Part 6) - The Trap of Commoditized Goods," analyzes the cyclical and perilous nature of the data storage industry through historical and current case studies. It begins with the example of Iomega, whose Zip drives led to a stock surge of over 160x in the mid-1990s before collapsing over 97% from its peak due to competition from cheaper CD-R technology. This pattern is characteristic of storage, where products like DRAM are highly commoditized, leading to extreme price volatility. The sector has seen prices crash over 80% multiple times, with companies often facing bankruptcy. The core dynamic is "elastic demand facing heavy-asset, long-cycle, rigid supply." High prices attract new capacity, but the long lead time means supply eventually overshoots, causing sharp price corrections. The current AI-driven boom, exemplified by surging demand for High-Bandwidth Memory (HBM), has led to skyrocketing prices and profit margins for companies like SanDisk and Micron, despite relatively flat production volumes. However, the author warns this high-margin environment is self-defeating. The high profits are already triggering massive new capacity investments (hundreds of billions starting 2026), with supply expected to ramp up by late 2027. When supply catches up, total revenue and profits may fall even as more units are sold. Long-term supply agreements offer little protection, as buyers can find ways to renegotiate if market prices drop, similar to fragile political treaties. Key risks include economic downturns, cuts in AI spending, faster-than-expected capacity expansion (especially from Chinese firms), and innovations in chip/algorithm design that reduce memory needs. A critical trap is that at the cycle's peak, storage stocks often appear cheap with low P/E ratios, luring value investors just before an impending downturn where profits evaporate. The conclusion cautions that for commoditized goods like storage, high margins inevitably destroy themselves, and the current asymmetry favors downside risk over further upside. The neighbor's dream of easy wealth from storage stocks is portrayed as a precarious illusion.

链捕手37 хв тому

Wang Chuan: When the neighbor Lao Wang earned thirty times from investing in memory storage stocks, how can you still avoid anxiety (6) - The trap of homogeneous products

链捕手37 хв тому

AI PCs Are Here, Going Toe-to-Toe with 120B Models Locally! NVIDIA Redefines the "Personal AI Computer" Foundation with RTX Spark

NVIDIA has redefined the "AI PC" standard with the launch of the RTX Spark super chip at GTC 2026. Boasting 1 petaflop (1000 TOPS) of AI performance, it dwarfs the 45-50 TOPS NPUs in current AI PCs. The SoC features a Blackwell GPU, a 20-core Arm CPU co-designed with MediaTek, and crucially, up to 128GB of unified memory shared between CPU and GPU. This architectural shift enables local execution of 120-billion-parameter large language models with million-token context windows, a massive leap from the 9B-40B models typical on current consumer hardware. Beyond AI, use cases include 12K video editing and high-fps ray-traced gaming. Key to enterprise adoption is a security collaboration with Microsoft. Windows security is upgraded, and NVIDIA's OpenShell sandbox runtime is integrated to safely contain AI agent actions. Major software support comes from Adobe, which announced a deep,底层-level rewrite of Photoshop and Premiere to leverage the unified memory for up to 2x performance gains. Six OEMs, including Dell, HP, Lenovo, and Microsoft Surface, will release RTX Spark-based轻薄本 and compact desktops this fall. However, questions remain about real-world performance,功耗, thermal management in laptops, pricing, and the actual impact of the OpenShell sandbox. The RTX Spark represents a fundamental power shift in the PC industry, moving from an x86 CPU-centric model to a GPU-centric SoC platform, but its ultimate success hinges on the upcoming product rollouts and ecosystem validation.

marsbit51 хв тому

AI PCs Are Here, Going Toe-to-Toe with 120B Models Locally! NVIDIA Redefines the "Personal AI Computer" Foundation with RTX Spark

marsbit51 хв тому

Торгівля

Спот
Ф'ючерси

Популярні статті

Як купити ERA

Ласкаво просимо до HTX.com! Ми зробили покупку Caldera (ERA) простою та зручною. Дотримуйтесь нашої покрокової інструкції, щоб розпочати свою криптовалютну подорож.Крок 1: Створіть обліковий запис на HTXВикористовуйте свою електронну пошту або номер телефону, щоб зареєструвати обліковий запис на HTX безплатно. Пройдіть безпроблемну реєстрацію й отримайте доступ до всіх функцій.ЗареєструватисьКрок 2: Перейдіть до розділу Купити крипту і виберіть спосіб оплатиКредитна/дебетова картка: використовуйте вашу картку Visa або Mastercard, щоб миттєво купити Caldera (ERA).Баланс: використовуйте кошти з балансу вашого рахунку HTX для безперешкодної торгівлі.Треті особи: ми додали популярні способи оплати, такі як Google Pay та Apple Pay, щоб підвищити зручність.P2P: Торгуйте безпосередньо з іншими користувачами на HTX.Позабіржова торгівля (OTC): ми пропонуємо індивідуальні послуги та конкурентні обмінні курси для трейдерів.Крок 3: Зберігайте свої Caldera (ERA)Після придбання Caldera (ERA) збережіть його у своєму обліковому записі на HTX. Крім того, ви можете відправити його в інше місце за допомогою блокчейн-переказу або використовувати його для торгівлі іншими криптовалютами.Крок 4: Торгівля Caldera (ERA)Легко торгуйте Caldera (ERA) на спотовому ринку HTX. Просто увійдіть до свого облікового запису, виберіть торгову пару, укладайте угоди та спостерігайте за ними в режимі реального часу. Ми пропонуємо зручний досвід як для початківців, так і для досвідчених трейдерів.

462 переглядів усьогоОпубліковано 2025.07.17Оновлено 2025.07.17

Як купити ERA

Обговорення

Ласкаво просимо до спільноти HTX. Тут ви можете бути в курсі останніх подій розвитку платформи та отримати доступ до професійної ринкової інформації. Нижче представлені думки користувачів щодо ціни ERA (ERA).

活动图片