To The Moon

risk coming: How does the Nvidia brain drain play out? Nvidia has multiple millionaires at the company. They could cash out and work for other technology giants. Can Nvidia keep the AI financing efforts going without Huang? Critics call Nvidia's financing of the AI industry circular financing. Others simply refer to the financing practices as the Bank of Nvidia. What's unclear is whether Nvidia can keep the financing going without Huang? Neoclouds will likely be asked more about funding. Will Nvidia be distracted? Nvidia has enjoyed a massive lead in AI infrastructure, but the competition has only ramped. Google TPUs, Amazon Trainium, AMD’s AI accelerators and racks and Broadcom’s XPUs are just some of the competition. Without its CEO, it’s unclear Nvidia can keep its momentum.

Unimaginable 

"Wow, everything's red except the Chinese ones 🧐

According to research notes from Goldman Sachs, Texas alone represents roughly 25% of all planned data center capacity in the United States.

A Democratic winning could mean tougher corporate regulation, higher tax rates, and pressure on the AI industry.

Governor: The governorship elections in Texas, Georgia, Ohio, Iowa, and many other Republican major towns were reversed simultaneously. An NBC News exit poll showed Trump's disapproval rate was as high as 62%, with nearly half of voters clearly stating that the vote was a repudiation for Trump.

Musk has been betting heavily on Texas in recent years because the state is a long-term base for the Republican Party, with loose regulation and business environment, and the state government offering preferential treatment to attract businesses to have their headquarters locally. Musk moved Tesla's global headquarters from California to Austin, Texas early in his life to build the world's largest automobile superplant. His SpaceX also had its headquarters in the state and established a starship rocket research, manufacturing, assembly and orbital launch center in southern Texas. Other businesses such as artificial intelligence company xAI's deep layout of computing power, engineering and data center supporting infrastructure in Texas. The first four power centers include Texas, Virginia,

$89.54 billion in computing power and infrastructure commitment expenditures. This is nearly seven times the cash Anthropic has on hand. Of this, $70 billion is due before September next year. This prospectus is equivalent to announcing to the market that AI revenue is growing, but costs are increasing even faster; and the entire industry chain has already secured future spending commitments amounting to trillions of dollars—regardless of whether revenue can keep up or not.

When the three-month realized correlation between Apple and the Nasdaq-100 flips negative for the first time in decades, it's a flashing neon sign that the underlying plumbing of the market has fractured. it's a victory born of peer weakness rather than explosive top-line reinvention. When the broader index gets dragged down by growth disappointments elsewhere, Apple acts as a shock absorber. It absorbs the defensive bids simply because the alternatives—overleveraged AI plays or cyclical tech names—look structurally riskier at that exact moment. ​It's less about Apple rewriting the playbook and more about the rest of the index giving it the room to stand out by default

Wall Street estimates that the issuance scale of AI-related debt could reach $4 trillion over the next four years. This number alone will not trigger a systemic crisis—the global bond market has a depth of 40 to 60 trillion enough to absorb it—but a large increase in supply is bound to widen credit spreads.