Nvidia posted $81.6B in revenue and guided $91B. Samsung's 47,000-worker strike was averted overnight. SpaceX's S-1 revealed 18,712 BTC and $4.9B in losses. OpenAI files as soon as Friday. Brent fell to $104. Warsh gets sworn in today.

MARKET PULSE

Thursday opened after the most concentrated AI and macro session of the year.

Nvidia (NVDA) beat on every major metric. Revenue reached $81.62 billion versus $78.86 billion expected. EPS came in at $1.87 against $1.76 expected. Data Center revenue hit $75.2 billion and guidance for next quarter reached $91 billion. The company also announced an $80 billion buyback and raised its dividend.

The stock still fell after hours.

That is the clearest sign yet that investors are no longer questioning AI demand. They are questioning how durable the spending cycle remains with rates above 4.5% and oil above $100.

Management repeatedly described AI as a global infrastructure buildout rather than a semiconductor cycle. Jensen Huang said Nvidia (NVDA) is helping build “AI factories” involving compute, networking, inference, storage, and sovereign AI systems. The company disclosed more than 80 AI factories above 10 megawatts are now deploying its infrastructure globally.

The important shift was inference. Nvidia (NVDA) argued inference and agentic AI strengthen its moat because they require tightly integrated systems and networking, not just chips. Networking revenue surged 199% year over year.

Asian markets reacted far more aggressively than the U.S. Samsung Electronics surged more than 8% after averting a strike involving 47,000 workers. The memory supply canary that opened its cage Monday morning closed it overnight. The risk that defined the week's hardware narrative resolved before it became the week's hardware story. SK Hynix jumped 11%. The Kospi gained 8.42%, its best session in years.

Bitcoin traded just over 77,000 Thursday morning, down slightly alongside the larger macro landscape.

Walmart (WMT) reports before the open. Warsh gets sworn in as Fed chair today.

The Signal

The market believes AI demand is real. The new question is whether the global economy can finance the AI infrastructure buildout at current oil prices and bond yields.

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ENERGY

Oil fell because the market finally received a physical signal instead of another diplomatic headline.

But the system remains severely impaired.

Before the war, Hormuz handled roughly one-fifth of global oil trade. Goldman Sachs (GS) estimates current traffic remains about 95% below normal. Global visible stock draws accelerated to a record 8.7 million barrels per day in May while U.S. crude inventories have now declined for four straight weeks.

Trump said negotiations are in their “final stages” while warning the U.S. may still need to become “a little bit nasty” if talks fail. Brent near $104 reflects partial relief, not normalization.

Energy Signal

The market got proof oil can move through Hormuz again. It did not get proof the system is functioning normally.

MACRO

The Fed minutes confirmed what the bond market already priced.

Markets now price roughly a 60% probability of at least one Fed hike by year-end.

Warsh begins his tenure today with the committee already leaning hawkish.

The growth side of the equation weakened simultaneously. Euro zone PMI data showed the fastest contraction in more than two years while manufacturing weakened across Germany and France.

The world is slowing while inflation pressure remains elevated.

Macro Signal

The Fed is no longer debating cuts. It is debating how long rates must stay restrictive.

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CAPITAL

This week marked the formal beginning of the AI IPO cycle.

SpaceX filed its S-1 Wednesday night targeting roughly a $1.75 trillion valuation. The filing revealed $18.7 billion in annual revenue, $4.9 billion in losses, and more than $20 billion in capital expenditures.

OpenAI is reportedly preparing to confidentially file for an IPO as soon as Friday at a valuation above $850 billion.

Three AI companies approaching a combined $4 trillion valuation are now moving toward public markets simultaneously. SpaceX, OpenAI, and Anthropic together represent a combined private valuation approaching $4 trillion.

That changes the capital markets equation immediately.

Nvidia (NVDA)’s results reinforced the scale of AI demand, but the IPO cycle introduces a second question: where does the capital come from?

Nvidia (NVDA) also acknowledged it has effectively conceded China’s AI accelerator market to Huawei because of export restrictions.

Capital Signal

The AI trade is evolving from a momentum story into a full infrastructure and capital cycle.

CRYPTO PULSE

Bitcoin recovered alongside the broader AI rally.

BTC traded at 77,000 Thursday morning, down slightly as markets continue to trade with an eye on the Iran conflict.

But SpaceX introduced a new dynamic into crypto markets.

At the same time, exchanges launched SpaceX-linked perpetual futures products almost instantly. Institutional attention is now splitting between crypto and the emerging AI IPO cycle.

That competition matters.

Bitcoin stalled at the exact moment SpaceX, OpenAI, and Anthropic accelerated toward public listings. Institutional capital allocation bandwidth is finite.

The Verdict

Bitcoin is still recovering from its worst five-day stretch since February. But the AI IPO cycle may become crypto’s largest capital competitor of the decade.

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CLOSING LENS

Thursday is the first morning after the market fully repriced the week.

Nvidia (NVDA) beat again. Samsung Electronics resolved its labor risk. SpaceX filed. OpenAI prepares to follow. Oil eased. Yields stabilized. Bitcoin hovered around 77,000.

The important shift is conceptual.

Nvidia (NVDA) is no longer presenting itself as a chip company. It is presenting itself as the infrastructure layer of the AI economy.

Infrastructure cycles are larger than hardware cycles. They also require more capital, attract more regulation, and become far more sensitive to rates.

That is why Nvidia (NVDA) delivered one of the strongest quarters in corporate history and the stock still fell.

The market already believes in AI demand.

Now it is testing whether the global economy can afford the AI buildout itself.

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