The persistent climb in long-end Treasury yields, alongside gold's strength and a pressured dollar, is not a novel development. Rather, it represents the cyclical resurgence of America's fiscal credit concerns. What sets this period apart from the second quarter of 2025 is that AI has evolved from an observer to a direct participant in this fiscal turmoil, as rising financing costs now flow through debt channels straight into the industry's fundamentals. Analysts suggest that whether the economy cools naturally or policy acts preemptively, both scenarios ultimately converge on a single destination: monetary easing and interest rate cuts.

Market expectations regarding the Federal Reserve's next moves have already narrowed considerably. According to CME FedWatch data cited in the analysis, projections have shifted rapidly from anticipating two rate hikes by year-end as of late July to currently pricing in just a single hike in December. The view is that America's fiscal credit crisis poses a more immediate threat than inflationary pressures. Looking ahead, to curb upward pressure on Treasury yields, the Fed's independence may be increasingly ceded to fiscal objectives, thereby reinforcing the case for rate cuts.

This assessment carries direct implications for asset allocation logic. The recommendation is to focus on resource commodities and AI technology, while also emphasizing high-dividend yield assets, which serve both as a portfolio stabilizer and as a hedge against the risks associated with AI financing exposure.

The 2025 Precedent: Turning an Acute Fiscal Illness into a Chronic Condition

Understanding the rationale behind the current rate-cut expectations requires revisiting the historical path of 2025. In the second quarter of that year, the U.S. market experienced a classic fiscal credit shock. Escalating deficits and supply pressures on Treasuries drove long-end yields upward, weakened the dollar, and lifted gold on a combination of safe-haven demand and credit concerns. However, at that time, AI assets and sovereign debt risks were subject to "separate pricing". While the market remained cautious about the government's balance sheet, it maintained full confidence in the profitability and cash flows of American tech firms.

The core of this separate pricing lay in the isolation of funding sources, as noted in the research. In 2025, the capital expenditures of cloud providers were largely covered by their own operating cash flows, without systematic reliance on external debt financing. Consequently, rising long-end rates did not directly translate into financing constraints for AI enterprises. As 2025 progressed into the second half, the fiscal credit risk itself was not truly resolved. Yet, as economic growth and the labor market gradually cooled, and inflation subsided, policy space for the Fed reopened. In September 2025, the Fed cut rates by 25 basis points in response to marginal weakness in employment, leading to a decline in Treasury yields. This evolution was characterized as a transformation of fiscal pressure from an "acute shock" to a "chronic constraint". Gold continued its upward trajectory, supported by both a falling risk premium and declining real rates, while AI assets upgraded from a phase of "earnings upgrades fighting rising rates" to a favorable period of "earnings upgrades coinciding with falling rates".

This historical sequence serves as the crucial reference point for projecting how the current contradictions might be resolved.

The Current Predicament: AI Entangled, Rate-Cut Window Still Awaited

Since August 2026, the macroeconomic backdrop bears a strong resemblance to the second quarter of 2025, but a key variable has undergone a structural shift. The source of capital expenditure for cloud providers has pivoted from internal cash flow to debt financing. Data indicates that as of the mid-2026 earnings reports, the ratio of free cash flow to EBITDA for Amazon, Google, and Meta has turned negative, meaning internal cash flows can no longer cover their continuously expanding capital expenditure needs. Since 2025, the combined bond issuance by the four major cloud providers—Google, Amazon, Meta, and Microsoft—has exceeded $270 billion. In 2026 alone, new issuance has totaled $191.7 billion, far surpassing the $82.7 billion issued throughout all of 2025.

This shift means that AI giants and the U.S. Treasury are now competing directly for funds in the same long-term capital market. The Treasury needs to constantly issue debt to finance government deficits, with the national debt having surpassed $40 trillion, and cumulative issuance over the past year reaching $32.3 trillion as of July 2026. Simultaneously, AI behemoths are increasingly reliant on corporate bonds to support their capital expenditure plans.

Data confirms the rising cost of financing. The credit spread on newly issued 10-year bonds by the four major cloud providers relative to Treasuries has widened from 0.46 percentage points in 2025 to a peak of 0.93 percentage points in April 2026. Furthermore, it's noted that Google's planned issuance of 5-year and 20-year Australian dollar bonds on August 27th is priced at 5.5% and 6.9%, respectively. This represents a further widening of credit spreads by 0.36 and 0.37 percentage points for the 5-year and 20-year tenors compared to its dollar-denominated bonds issued on August 6th, indicating a recalibration of market pricing for tech credit risk. In this environment, after the 10-year Treasury yield persistently broke above 4.7% in mid-August, the AI sector shifted into a phase of volatility and decline, a clear divergence from its resilience during the second quarter of 2025.

Two Paths, One Destination: Both Lead to Rate Cuts

The analysis posits that there are two potential paths to alleviate the current tensions, but both ultimately lead to monetary easing. The first path is a natural cyclical cooling of the economy. Tightening financial conditions would gradually transmit to investment, consumption, and employment, driving down demand and inflation. This would open space for the Fed to cut rates, subsequently lowering real rates and financing costs. This path aligns closely with the trajectory of the second half of 2025, though it would be slower and fraught with uncertainties.

The second path involves preemptive policy action. Recent policy responses have shown a more proactive character. For instance, in early August, a coordinated U.S.-Japan intervention to buy the yen aimed to stabilize the dollar and, indirectly, support demand for Treasuries and curb rising term premiums. Japan, as one of the largest overseas holders of U.S. debt with $1.1 trillion as of June 2026, could exacerbate long-end supply-demand imbalances if it continues to sell. Additionally, on August 19th, the U.S. Treasury announced it would double its buyback of 10-to-30-year bonds from $20 billion to $40 billion to provide greater liquidity support to the bond market.

However, the analysis also points out the limitations of these tools. After the Treasury announced the expanded buyback, long-end yields only briefly dipped before rebounding. This suggests that liquidity-oriented policy tools can ease market pressure in the short term but do not genuinely resolve structural issues like fiscal imbalances or inflation. Because such structural problems are difficult to address with a single instrument, the conclusion is that the Fed's eventual rate cuts are the core mechanism to truly alleviate financing cost pressures. Under this scenario, the Fed's policy independence may be further subordinated to fiscal objectives, and expectations for rate cuts are likely to strengthen.

AI Won't Drown: Short-Term Pressure Before Cuts is Manageable

Before the rate-cut window fully opens, could the current financing pressures trigger a cyclical turning point for the AI industry? The assessment suggests this is unlikely. Industrial data shows that as of the second quarter of 2026, the year-over-year growth rate of capital expenditure for the four major North American cloud providers is at historical highs. Their latest guidance indicates a combined capital expenditure of $745 billion for 2026, slightly exceeding market expectations. Meanwhile, returns on investment continue to climb. Google's ROIC jumped from 35% in the first quarter of 2026 to 41% in the second quarter, validating that the industry chain remains in a highly prosperous phase.

The current financing issue facing AI is characterized as a "price squeeze" rather than a "quantity squeeze". On one hand, absolute yield levels in the U.S. remain attractive, and the competition for long-term capital primarily manifests as higher financing costs, not the closure of funding channels. On the other hand, high-quality bonds issued by AI tech giants, supported by their relatively high credit spreads, continue to attract ample market subscription. In the context of a K-shaped economic recovery in the U.S., traditional sectors like real estate and consumer durables, which have weaker balance sheets and higher financing dependency, are expected to feel the pinch earlier in a tightening credit environment. AI may be "dragged down, but it will not necessarily drown," as the analysis describes the transmission logic.

Overall, the expectation is that America's fiscal credit issues will follow the path of the second half of 2025: transitioning from an acute shock to a chronic constraint once economic cooling and rate-cut expectations take hold. At that juncture, quality AI assets with solid fundamentals are likely to regain favor with investors.