On September 8-9, 2026, during what should have been a time window filled with "panic," the market staged an unusual drama: near Hormuz, an Iranian small tanker was struck by a U.S. missile about 4 nautical miles from Hark Island. Subsequently, the U.S. Treasury announced a new round of sanctions involving 36 targets, and the Iranian Revolutionary Guard quickly threatened the withdrawal of tankers from Kuwaiti and Bahraini ports. The firepower of geopolitical conflict rapidly extended from financial sanctions to shipping safety. However, according to Gate data, in this tense backdrop, the traditional safe-haven asset, gold XAUUSD, did not rise but instead fell, dipping to about $4,350 per ounce during trading, currently reported at $4,348.95 per ounce, with a daily decline of about 1.3%, clearly failing to fulfill the traditional narrative of a "safe haven." On the same trading day, U.S. stock indices collectively ended lower: the S&P 500 fell about 0.58%, the Nasdaq dropped about 0.32%, and the Dow Jones declined by about 1.1%. While the indices broadly retreated, a stark divide emerged within: Intel's stock surged about 9% due to plans to raise PC CPU prices by about 10%, Lumentum rose over 11%, Corning and Coherent each gained over 7%, CoreWeave surged over 11%, and Nebius increased by over 7%, while Nvidia fell about 2%, with SK Hynix and Qualcomm rising about 4.8% and 3%, respectively. Almost simultaneously, OpenAI announced a breakthrough with its next-generation internal model on the Navier-Stokes equations related millennium math problems: achieving a pass rate of about 48% on a selection of open mathematical problems, nearly three times the highest level of GPT-6 Astra, with the experiment employing around 10,000 collaborative AI agents and taking about 88 hours. As missiles and sanctions escalated risk, gold was sold off, while computing power, optical communications, and semiconductor supply chains strengthened against the trend, raising a new question: Is safe-haven capital quietly leaving metals to embrace the new "safety boundary" of AI computing power?

Middle East Tensions Escalate, Yet Gold Drops

Bringing the timeline back to September 8, the first sound near Hormuz was that of missiles—an Iranian small tanker was struck by a U.S. missile about 4 nautical miles from Hark Island. Reports indicate there were no casualties, but crew members began emergency evacuations, and the tense atmosphere on the surface was far more striking than the casualty numbers. Almost without any buffer, the U.S. Treasury immediately announced a new round of sanctions against Iran, adding 36 new names to the list, particularly targeting the Iranian aviation industry, including Mahan Air. The economic gates quickly tightened following military friction. Shortly after, the Iranian Islamic Revolutionary Guard issued a more alarming warning: tankers docked at Kuwaiti and Bahraini ports, harboring U.S. military presence, could become the next targets for attack, and crews were instructed to evacuate immediately, leaving layers of security feelings about Middle Eastern energy and shipping stripped away within just a few hours.

According to traditional safe-haven logic, such geopolitical escalation often drives safe-haven buying towards gold: if the Strait of Hormuz is deemed a high-risk area, freight and oil price expectations fluctuate wildly, and capital typically instinctively seeks the metal as a defense line. However, during this tightening chain of events, gold XAUUSD fell to about $4,350 per ounce between September 8-9, currently reported at $4,348.95 per ounce, with a daily decrease of about 1.3%, completely contradicting the textbook expectation that "conflict fuels safe-haven assets." The emotional response to shipping risks in the Strait of Hormuz significantly rose, yet gold did not witness the traditional influx of safe-haven demand; rather, during the window of interwoven missiles, sanctions, and attack threats, it behaved like an old piece of armor that capital was keen to abandon.

U.S. Stocks Decline, AI Sector Stands Out

On September 8, the sentiment on U.S. stock markets was cold. The S&P 500 closed down about 0.58%, the Nasdaq fell about 0.32%, and the Dow Jones saw a decline of nearly 1.1%, with all three major indices in the "red," providing a footnote to gold's weak performance amid dampened risk appetite. However, against this backdrop of overall pressure, the tech sector staged a distinctly different drama: capital did not simply retreat but chose to make more meticulous reallocations within the same AI supply chain.

A striking example is Intel. On the very night when high beta indices collectively pulled back, Intel's stock surged about 9%, triggered by news of its plan to raise PC CPU prices by about 10%. Alongside Intel, capital also favored the optical communication sector, playing a "capillary" role in the computing age: Lumentum rose over 11%, while Corning and Coherent each increased over 7%. From optical modules to fiber materials, the entire infrastructure network shone bright amidst the market's decline. Companies closer to computing terminals, such as cloud computing and AI computing power leasing, also strengthened: CoreWeave surged over 11%, Nebius rose over 7%, contrasted sharply with SK Hynix's approximate 4.8% rise and Qualcomm's about 3% gain, while Nvidia fell about 2%. Once the narrative’s leading AI darling began realizing profits, the "second-tier infrastructure" assets, which take on storage, communication, and computing power rentals, were collectively pushed to the forefront at the intersection of safe-haven and growth funding. Behind the apparent decline in U.S. stocks, capital was consciously rebalancing from the center of the story towards the foundational base of computing power.

Safe Havens Now Beyond Gold, AI as a New Betting Direction

On the same timeline where tankers were attacked near Hormuz, the U.S. tightened sanctions against Iran, and the Revolutionary Guard issued warnings for tanker evacuations, gold XAUUSD fell to about $4,350 per ounce on September 8-9, with a daily drop of approximately 1.3%, currently reported at $4,348.95 per ounce. The three major U.S. stock indices also collectively declined—the S&P 500 fell about 0.58%, the Nasdaq about 0.32%, and the Dow nearly 1.1%. By textbook understanding, this should represent a typical risk-averse scenario of "gold strengthening and stocks under pressure," yet instead, it evolved into a variant combination of "gold weakening, indices broadly declining, and computing power-linked assets rising against the trend": Lumentum surged over 11%, CoreWeave over 11%, Nebius over 7%, Intel climbed around 9% due to forecasts of a 10% CPU price increase, with Corning and Coherent also rising over 7%. Capital seems to have bypassed traditional precious metals, directly placing bets on assets that support communication and computing infrastructure.

This dislocation is not merely a random noise from a single day's trading, but a concentrated manifestation of preference structure. In an environment where geopolitical tensions and economic uncertainties coexist, the market's response to risks is subtly changing: pure "safe haven symbols" like gold begin to weaken, while those able to tell a growth story and stand on narratives of technological breakthroughs are endowed with new safe-haven functionalities—protecting assets from being consumed by macro fluctuations while betting on a leap in technological paradigms. The news from OpenAI about a pass rate of about 48% on the Navier-Stokes related millennium problem, nearly three times that of GPT-6 Astra, conveniently provides narrative fuel for this bet, making "buy a bit more foundational computing power" appear not as impulsive but as a rational choice to occupy future positions. However, from the perspective of risk pricing, when military friction and the sanction chain near the Strait of Hormuz objectively raise perceptions of energy and shipping risks, yet gold is clearly sold off and the AI infrastructure sector rises under optimistic expectations, this systemic underestimation of Middle Eastern risk premiums, coupled with the advanced enthusiasm for computing power, represents one of the most significant mispricing signals in today's market.

OpenAI Breakthrough Adds Fuel to AI Boom

As missiles and sanctions near the Strait of Hormuz were still boosting news intensity, another technical update began to frequently appear in traders' chat windows and roadshow presentations: OpenAI disclosed the latest achievements of its next-generation internal model on open mathematical problems, reporting a pass rate of approximately 48%, nearly three times that of the top performance of GPT-6 Astra. More crucially, this is not a simple "exam ranking" but a concentrated effort to tackle millennium problems related to the Navier-Stokes equations—an experiment mobilizing around 10,000 collaborative AI agents, running continuously for about 88 hours to yield what was internally assessed as a "solution." OpenAI intentionally withheld details such as the model name and release time, not providing complete technical disclosure, but enough to signal to the outside world a critical insight: AI's problem-solving capability on high-dimensional complex systems is sliding from "auxiliary tool" to "possibly independently solving top-tier challenges."

This aspect has a far more direct effect on market sentiment than a technical blog entry. That day, within the U.S. stock markets, optical communications, AI computing power leasing, and cloud computing companies led the gains, with CoreWeave rising over 11%, Nebius over 7%, coinciding closely with this technical breakthrough, almost providing reality-based annotations for the story "computing power is the new gold." Investment institutions find it challenging to verify whether that Navier-Stokes related problem was "truly solved" but can easily note in their IR materials, "48% pass rate on open mathematical problems, 10,000 intelligent agents collaborating, 88 hours to conquer millennium problems," tying it together with their own data center expansions, fiber deployments, and GPU contracts into a unified investment narrative. The co-existence of opacity at the technical level and strength in stock prices does not necessarily imply direct causation, but it creates a significant resonance at a psychological level: the narrative of gold as a safe haven fails amid escalating Middle Eastern situations, while the narrative of AI capability leap strengthens continuously through the price rises of computing shares and OpenAI's breakthrough news, leading capital to be more willing to believe that what is truly worth locking in ahead of time is not the risk premium of the next war, but the computing dividends of the next generation of AI agents.

Is Geopolitical Risk Undervalued? Footnotes of the New Safe Haven Era

Looking back at the time series of these two days, on one side, there are tankers near Hormuz attacked by U.S. missiles, the U.S. Treasury imposing additional sanctions, and the Iranian Revolutionary Guard directly warning about Kuwaiti and Bahraini tankers, with the risk chain layering up; on the other side, gold declined by about 1.3% in this context, and all three major U.S. indices weakened, yet Intel, optical communications, AI computing power leasing, and some semiconductor stocks gained against the trend, constituting multiple divergences of geopolitical upgrades, weak precious metals, and strong computing assets. Capital has redrawn lines between fear and greed: the traditional intuition that "safe haven = buy gold" is shaken, while "safe haven = lock in technology and computing power" begins to enter the narrative, with OpenAI's breakthrough on the Navier-Stokes related problem also occurring around the same timeline, providing technical endorsement for this narrative. However, the temporary failure of gold does not imply that risks in the Middle East have dissipated; the vulnerabilities in energy and shipping around the Strait of Hormuz still exist. Once sentiments shift from "betting on future computing power" to recalibrating the pricing of real conflicts or unexpected events amplify existing contradictions, the current price structure among gold, tech stocks, and other assets could very well just be a transitional state before the next round of more intense repricing.

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