Global markets are currently trapped in three mutually reinforcing reflexive cycles: oil politics, hyperscaler capital expenditure, and AI debt risk. Goldman Sachs warns that the negative feedback loop created by these three factors leaves the market in a fragile and dangerous balance.
This week, Goldman Sachs' head of 1-Delta trading, Rich Privorotsky, noted in a client report that the dual pressures of surging oil prices and rising interest rates are becoming increasingly difficult for the market to absorb, with the negative impact on the bond side sharply deteriorating.
He stated that without a substantial political de-escalation, the market will be forced to absorb the risks itself, driving the situation toward a worse outcome.
Meanwhile, the uncontrolled expansion of tech giants' capital expenditure, combined with a sharp decline in the prices of bonds financing AI infrastructure, is shaking investor confidence in the narrative surrounding hyperscalers.
Privorotsky warned that betting on these companies is essentially becoming a high-stakes gamble on a "revenue inflection point arriving before the peak in spending."
Oil, Politics, and Inflation: The First Reflexive Cycle
The two-way feedback mechanism between oil prices and politics is the first reflexive chain that Privorotsky is most focused on.
This week, Brent crude oil prices briefly broke through the $100 per barrel mark, putting market expectations regarding the Trump administration's policy response to the test.
Previously, the market widely expected that once oil prices crossed a certain threshold, thereby raising retail gasoline prices and hurting the president's approval ratings, the Trump administration would intervene to curb prices.
This expectation has, to some extent, supported the resilience of the stock market. However, Privorotsky pointed out that with each passing day without a policy response at the same price level, the market increasingly has to drive the outcome itself. The interest rate shock is becoming the most difficult variable to ignore in this cycle.
At the same time, the pass-through of energy costs to food inflation is on the verge of becoming a reality.
Warning signs are already appearing in the real economy. Despite record revenue, higher ticket prices, and relatively solid demand, American Airlines has downgraded its 2026 performance guidance, citing a cumulative increase of approximately $1.6 billion in fuel costs since the beginning of July.
Geopolitical tensions continue to escalate. According to state media, on July 24, local time, US President Donald Trump, while discussing an "exit strategy" for a war with Iran at the White House, stated that there are two options: continue the current military operations, potentially increasing the intensity to gradually dismantle Iran's military capabilities, or reach an agreement through negotiations.
Earlier that day, Reuters reported, citing sources, that Pakistan was exploring ways to restart stalled US-Iran negotiations. Israeli Prime Minister Benjamin Netanyahu is scheduled to visit the White House next Tuesday to meet with Trump. Privorotsky hinted that this timeline might be brewing a "TACO moment" for the market – a sudden shift towards negotiation or compromise.
Hyperscaler Spending: The Second Reflexive Cycle
The second reflexive cycle revolves around the capital expenditure of hyperscale technology companies, with the core conflict being: is the market still willing to view massive investment as a cost-free signal of growth?
Google has become a negative symbol for this earnings season. The company raised its 2026 capital expenditure guidance to $195 billion to $205 billion, reported negative free cash flow of $5.9 billion for the quarter, and its stock price subsequently fell by 6.9%. While operational data like 82% growth in its cloud business was impressive, the market is no longer willing to treat spending as a costless strategic investment. Questions about the roadmap for cutting-edge products and the return on investment went largely unanswered.
The deeper impact lies in competitive pressure. If Google increases spending, it will force competitors to follow suit, putting pressure on the entire hyperscale cloud computing sector. The hardware side is also showing strain:
STMicroelectronics missed core profit expectations, issued slightly weak third-quarter revenue guidance, and its stock price fell about 14%. Texas Instruments (NASDAQ: TXN) performed relatively steadily but still closed down 3%.
Regarding the AI competitive landscape, Privorotsky pointed out that the gap between frontier closed-source models and Chinese open-source models has narrowed significantly. He noted that the lead, previously measured in nine to twelve months, has now compressed to just weeks on some benchmarks. The cost-benefit ratio of pre-training versus reinforcement learning and post-training is spawning vastly different economic models. The intensity of competition at the application layer and the flatness of the competitive landscape are historically rare. He believes the risks from smaller models and efficiency gains are a "story for later," but should not be underestimated.
AI Infrastructure Debt: The Third Reflexive Cycle
The third reflexive cycle is hidden within the bond and financing structures of hyperscale tech companies. Privorotsky sees the bond market as the most important risk signal to watch currently.
Using Meta's "Hyperion" financing through the Beignet SPV as an example, this $27.3 billion bond issuance was priced at par, subsequently traded above 109, and has now fallen back to around 95.
While the overall financial health of hyperscalers remains solid with low balance sheet leverage, the impact of valuation repricing on stock multiples has been significant. A more serious problem is that as capital expenditure accelerates, free cash flow conversion continues to deteriorate, and the impact on leveraged entities financing infrastructure construction will be even more severe.
Privorotsky warned that today's capacity expansion could become tomorrow's computing power glut, and at that point, a larger wave of depreciation expenses will begin to erode profit and loss statements.
Outlook: Microsoft Earnings and CXMT IPO as Key Catalysts
Looking ahead, Privorotsky highlighted two major events that will provide an important test for these reflexive themes.
The first is Microsoft's earnings conference call this Wednesday. He believes, "If the reflexive thesis is going to play out, this might be the most critical call." The market will closely scrutinize Microsoft's balance between capital expenditure, cloud growth, and free cash flow to gauge whether the hyperscale tech narrative can stabilize.
The second event is the IPO of Chinese memory chip company CXMT (ChangXin Memory Technologies) on the STAR Market. CXMT is currently the world's fourth-largest DRAM producer, and this fundraising is expected to be around $8.6 billion. Privorotsky emphasized, "This is by no means an insignificant new competitor." If its stock trades near the valuation implied by the over-the-counter perpetual market after listing, it could have a major impact on the entire memory chip sector.
Privorotsky concluded the current situation with a single sentence: "It feels a bit like a circular reference in the oil price problem." In a market dominated by reflexivity, every variable is both a cause and an effect.
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