Gold Plunges 7% in a Single Day, War Fails to Boost Safe-Haven Assets | Rewire Evening News

marsbitОпубліковано о 2026-03-19Востаннє оновлено о 2026-03-19

Анотація

Gold and silver experienced a sharp decline, with gold dropping 7.2% to $4,551 and silver falling 13.9% to $66.93, despite ongoing Middle East tensions. This unusual drop in traditional safe-haven assets is attributed to a stronger US dollar, rising inflation expectations, and tightening liquidity. The conflict escalated as Israel targeted Iran's South Pars gas field, a key global LNG source, driving oil prices to record highs. Iran retaliated by attacking energy facilities in Saudi Arabia and the UAE. The Pentagon labeled Anthropic's AI safety protocols a national security risk, amid broader military AI adoption. Crypto.com cut 12% of its workforce, reflecting a industry shift toward AI-driven operations. Global stock markets fell due to combined pressures from hawkish Fed policies, energy-driven inflation, and supply-side constraints. The BOJ maintained rates but raised inflation risks, while Apple plans to integrate Gemini-powered Siri. US gasoline prices surged, reinforcing stagflation narrative.

Gold fell 7.2% to $4,551, and silver dropped 13.9% to $66.93. On the 20th day of the Middle East war, safe-haven assets are collapsing instead of rising. A stronger dollar, inflation expectations, and liquidity tightening are redefining the meaning of 'safety'.

1| Gold Plunges 7%, Silver Crashes 14%, Safe-Haven Logic Fails During War

Gold fell by $310 to $4,551/ounce (-7.2%), while silver plummeted from $77.77 to $66.93 (-13.9%). This marks the sixth consecutive day of decline for gold, the longest losing streak since late 2024. The usual logic is that war drives up safe-haven assets, but this round is different. A stronger dollar index (DXY +0.4%), rising U.S. Treasury yields, and inflation expectations driven by oil price shocks have dashed hopes for a dovish pivot from the Fed. Funds are flowing out of precious metals and into dollar cash. In early February, the CME raised gold margins from 6% to 8% and silver margins from 11% to 15%, continuously squeezing out leveraged long positions. On the surface, it's a gold and silver crash; at its core, when inflation and war occur simultaneously, the pricing power of safe-haven assets shifts from fear to interest rates.

(Source: Fortune / CNBC / 24/7 Wall St.)

2| Israel Strikes World's Largest Gas Field, Iran Begins Naming and Bombing Gulf Energy Facilities

Israel, in coordination with the U.S., struck Iran's South Pars gas field. This is no ordinary military target. South Pars shares the same geological structure as Qatar's North Field, which supplies 20% of the world's LNG. WTI crude oil rose above $97, while Dubai crude broke through $150 to hit a record high. Iran immediately published a target list, naming Saudi Aramco's Samref refinery, the Jubail petrochemical complex, and the UAE's Al Hosn gas field. Saudi Arabia, Qatar, the UAE, and Kuwait all reported attacks. The IEA released a record 400 million barrels from emergency reserves, and the U.S. added 172 million barrels from the SPR, but these measures had almost no effect on prices. The war is escalating from blockading shipping lanes to destroying production capacity, and the global energy reserve system is almost powerless to stop it.

(Source: Fortune / Al Jazeera / CNBC)

3| Pentagon Officially Counters, Defining Anthropic's Safety Red Lines as a 'National Security Risk'

The Department of Defense submitted a 40-page rebuttal in a California federal court, arguing that Anthropic might 'attempt to disable its technology or preemptively modify model behavior' during 'combat operations'. The morning brief covered an amicus brief from 150 retired judges supporting Anthropic. The new development tonight is the Pentagon's formal response, which reframes an AI company's ethical stance as a supply chain risk. In the same week, the Pentagon signed contracts with OpenAI and xAI. A hearing on March 24th will address a previously unprecedented question: can an AI supplier set conditions for military use, or does the military have the right to demand unconditional access.

(Source: TechCrunch / Washington Examiner)

4| Crypto.com Lays Off 12% of Staff, Crypto Industry Begins Replacing Labor with AI

Crypto.com announced it is cutting about 180 jobs, roughly 12% of its workforce. The CEO stated that roles not suited for 'our new world' will be eliminated. This is not an isolated case. Over the past two weeks, Block (Jack Dorsey) laid off nearly 40% of its staff and announced a full shift to AI, while Gemini cut 25% of its workforce. On the surface, this is cost optimization during an industry downturn. At its core, crypto exchanges are shifting from a 'hire-to-expand' model to an 'AI replacement + lean core team' model. It's not just边缘 roles being cut, but entire middle layers. When three leading exchanges use the same reason for layoffs simultaneously, it's no longer an individual company's choice but a structural turning point for the industry.

(Source: Bloomberg)

5| U.S. Stocks Plunge for Second Consecutive Day, Triple Pressures Tighten Simultaneously

The S&P 500 fell to 6,588 (-0.55%), the Dow Jones dropped to 45,902 (-0.70%), and the Nasdaq declined 0.73%. European losses were steeper, with Germany's DAX down 3% and the Stoxx 600 down 2.76%. Over two days, the Dow has lost over 1,200 points. The selling pressure doesn't stem from a single event but from three lines tightening at once. A hawkish Fed (rates held at 3.50%-3.75%, dot plot split 7:7) dashed rate cut expectations. The oil price shock (WTI $97, Dubai $150) pushed inflation expectations higher. PPI at 0.7% (double the expectation) confirmed that supply-side inflation is accelerating. On the surface, markets are falling; at its core, three pressures that don't usually appear simultaneously are叠加, leaving funds with no safe place to go.

(Source: 24/7 Wall St. / Yahoo Finance)

Also Worth Knowing ↓

Bank of Japan keeps rates unchanged, raises inflation risk assessment to 'upside'. The BOJ listed the energy shock from the Iran war as a key uncertainty. Major global central banks collectively chose to stand pat this week (Fed, BOJ), waiting for the transmission path of the oil price shock to become clear. (Source: CNBC)

Apple's Gemini-powered Siri overhaul targets release this month with iOS 26.4. Apple pays Google about $1 billion annually to use the 1.2 trillion parameter Gemini model, white-labeling the integration so users won't see the Google brand. Apple's choice to abandon in-house development and directly procure a model externally is a signal of industry specialization. (Source: CNBC / TechCrunch)

U.S. gasoline prices rise $0.80 in a month, diesel nears $5/gallon. The energy shock is transmitting from financial markets to the consumer end, combined with Powell's 'inflation is not as expected' statement, adding another link to the stagflation narrative's evidence chain. (Source: NPR / AAA)

Пов'язані питання

QWhy did gold and silver prices plummet despite the ongoing Middle East war, which typically boosts safe-haven assets?

AGold fell 7.2% and silver dropped 13.9% due to a stronger US dollar, rising Treasury yields, and inflation expectations driven by oil price shocks. These factors reduced hopes for a Federal Reserve pivot to dovish policies, causing capital to flow out of precious metals and into dollar cash. Additionally, CME raised margin requirements, squeezing leveraged long positions.

QWhat significant energy infrastructure was attacked by Israel and the US, and what was the global impact?

AIsrael and the US coordinated a strike on Iran's South Pars gas field, which shares a geological structure with Qatar's North Field, supplying 20% of the world's LNG. This attack, along with Iran's retaliation targeting facilities in Saudi Arabia, the UAE, and other Gulf states, drove WTI crude above $97 and Dubai crude to a record $150, despite IEA and US releasing emergency reserves.

QHow did the Pentagon respond to Anthropic's safety guidelines, and what is the core issue?

AThe Pentagon filed a 40-page rebuttal in federal court, arguing that Anthropic's potential to disable its technology or preemptively modify model behavior during military operations poses a 'national security risk'. The hearing on March 24 will address whether AI suppliers can set conditions for military use or if the military has the right to unconditional access.

QWhat trend in the crypto industry is indicated by recent layoffs at companies like Crypto.com, Block, and Gemini?

ACrypto.com cut 12% of its workforce, Block laid off nearly 40%, and Gemini reduced staff by 25%, signaling a structural shift in the industry. These moves reflect a transition from human expansion to AI replacement and streamlining core teams, eliminating entire middle layers rather than just peripheral roles.

QWhat three simultaneous pressures caused the sharp decline in US and European stock markets?

AUS and European stocks fell due to a combination of a hawkish Federal Reserve (holding rates at 3.50%-3.75% with no near-term cuts expected), oil price shocks (WTI at $97, Dubai at $150) raising inflation fears, and higher-than-expected PPI data (0.7%, double the forecast) confirming accelerating supply-side inflation. This triple pressure left investors with few safe havens.

Пов'язані матеріали

Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

In a span of four days, Amazon announced an additional $25 billion investment, and Google pledged up to $40 billion—both direct competitors pouring over $65 billion into the same AI startup, Anthropic. Rather than a typical venture capital move, this signals the latest escalation in the cloud wars. The core of the deal is not equity but compute pre-orders: Anthropic must spend the majority of these funds on AWS and Google Cloud services and chips, effectively locking in massive future compute consumption. This reflects a shift in cloud market dynamics—enterprises now choose cloud providers based on which hosts the best AI models, not just price or stability. With OpenAI deeply tied to Microsoft, Anthropic’s Claude has become the only viable strategic asset for Google and Amazon to remain competitive. Anthropic’s annualized revenue has surged to $30 billion, and it is expanding into verticals like biotech, positioning itself as a cross-industry AI infrastructure layer. However, this funding comes with constraints: Anthropic’s independence is challenged as it balances two rival investors, its safety-first narrative faces pressure from regulatory scrutiny, and its path to IPO introduces new financial pressures. Globally, this accelerates a "tri-polar" closed-loop structure in AI infrastructure, with Microsoft-OpenAI, Google-Anthropic, and Amazon-Anthropic forming exclusive model-cloud alliances. In contrast, China’s landscape differs—investments like Alibaba and Tencent backing open-source model firm DeepSeek reflect a more decoupled approach, though closed-source models from major cloud providers still dominate. The $65 billion bet is ultimately about securing a seat at the table in an AI-defined future—where missing the model layer means losing the cloud war.

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Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

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Computing Power Constrained, Why Did DeepSeek-V4 Open Source?

DeepSeek-V4 has been released as a preview open-source model, featuring 1 million tokens of context length as a baseline capability—previously a premium feature locked behind enterprise paywalls by major overseas AI firms. The official announcement, however, openly acknowledges computational constraints, particularly limited service throughput for the high-end DeepSeek-V4-Pro version due to restricted high-end computing power. Rather than competing on pure scale, DeepSeek adopts a pragmatic approach that balances algorithmic innovation with hardware realities in China’s AI ecosystem. The V4-Pro model uses a highly sparse architecture with 1.6T total parameters but only activates 49B during inference. It performs strongly in agentic coding, knowledge-intensive tasks, and STEM reasoning, competing closely with top-tier closed models like Gemini Pro 3.1 and Claude Opus 4.6 in certain scenarios. A key strategic product is the Flash edition, with 284B total parameters but only 13B activated—making it cost-effective and accessible for mid- and low-tier hardware, including domestic AI chips from Huawei (Ascend), Cambricon, and Hygon. This design supports broader adoption across developers and SMEs while stimulating China's domestic semiconductor ecosystem. Despite facing talent outflow and intense competition in user traffic—with rivals like Doubao and Qianwen leading in monthly active users—DeepSeek has maintained technical momentum. The release also comes amid reports of a new funding round targeting a valuation exceeding $10 billion, potentially setting a new record in China’s LLM sector. Ultimately, DeepSeek-V4 represents a shift toward open yet realistic infrastructure development in the constrained compute landscape of Chinese AI, emphasizing engineering efficiency and domestic hardware compatibility over pure model scale.

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Computing Power Constrained, Why Did DeepSeek-V4 Open Source?

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