avatar
Louis

Following0Followers (X)8.5KPosts200Likes479
avatar

Everyone is competing for capital. And the demand is unprecedented. Look at who’s raising money and what they’re paying. 1. U.S. Treasury — ~5% • ~$2 trillion annual fiscal deficit. • Over $1 trillion in annual interest costs. • Trillions in debt to refinance. 2. AI Hyperscalers — ~5–7% • Amazon, Google, Microsoft, Meta, Oracle. • Trillions in AI infrastructure spending. • Oracle alone targeting $45–50 billion in debt and equity financing. 3. AI Labs — Massive Equity Raises • OpenAI: $122 billion. • Anthropic: $65 billion. • Hundreds of billions needed to fund the AI race. 4. Neoclouds — ~7–16% Financing Yields • CoreWeave, Lambda, Nebius, IREN, Applied Digital, TeraWulf. • CoreWeave issued 9.625% bonds, with some debt subsequently yielding 15–16%. • Billions needed for GPUs, data centers, and power. 5. Energy & Semiconductors — Trillions in Capex • U.S. utilities: ~$1.3 trillion in projected capex through 2030. • TSMC: $60 billion+ annual capex plans. 6. Bitcoin Treasury Companies — 12–15% Preferred Dividends • Strategy STRC: 12%. • Strive SATA: 13%. • Strive SATS: 15%.

avatar

I asked GPT-6 on investing in Bitcoin: "Bitcoin remains investable, but long-term conviction must include a credible path to cryptographic migration. The evidence is strong enough to reject complacency, and incomplete enough that neither inevitable collapse nor permanent safety is a defensible conclusion. I would lower exposure if credible quantum capability advances faster than Bitcoin’s deployed defenses—even before a successful theft occurs."

avatar

This is why every individual and company needs both a Bitcoin strategy and an AI strategy. Accumulate scarce, desirable tokens: Bitcoin. Consume productive tokens: AI tokens. Bitcoin preserves stored wealth and energy across time. AI tokens convert compute into productivity, intelligence, and output. One protects the future value of your capital. The other compounds what you can produce today. The winning strategy is to accumulate Bitcoin while aggressively consuming AI token for growth.

avatar

One of the most important shifts of the agentic AI era may be the collapse of institutional information asymmetry. For most of history, people depended on institutions because expertise was scarce and expensive. You trusted the banker because you didn’t understand finance. You trusted the lawyer because you couldn’t interpret the contract. You trusted the doctor, broker, consultant, or accountant because independently evaluating their advice required knowledge, time, and access you didn’t have. That created enormous information asymmetry. And wherever information asymmetry exists, there is room for incentives to diverge. The professional may know more than you—but they may also be paid more when you choose one product over another, trade more frequently, borrow more money, or accept a particular recommendation. AI fundamentally changes this relationship. For the first time, ordinary people can have an intelligent agent sitting on their side of the table—reading the documents, questioning the assumptions, comparing alternatives, checking incentives, and explaining what is actually happening. The important shift is therefore not simply that people will “trust AI more than humans.” It is that trust itself becomes less necessary because verification becomes cheap. Banks are a good example. Banking is one of civilization’s oldest information businesses. Most customers historically had little understanding of how money, credit, fees, financial products, or monetary systems actually worked. They depended on the institution to interpret the system for them. Now imagine every customer walking into that relationship with an AI agent that has already analyzed every fee, every clause, every alternative, every conflict of interest, and every economic consequence. The balance of power changes. And this extends far beyond banking. Insurance. Healthcare. Law. Government. Education. Investing. Corporate management. Every institution increasingly becomes machine-auditable. AI becomes a new layer of checks and balances—not because AI is inherently trustworthy, but because it dramatically lowers the cost of questioning authority, comparing claims, and exposing inconsistencies. That may be the deeper societal consequence of agentic AI: it democratizes due diligence. Institutions will not disappear. But institutions that relied heavily on information asymmetry, complexity, or blind trust will face enormous pressure. As AI becomes more capable, personalized, and accessible, humans will increasingly arrive at important decisions with an intelligence working exclusively on their behalf. The long-term transition may therefore be from: “Trust the expert.” to: “Let my agent verify the expert.” That is a profound change in how power works.

avatar

BlackRock just published a paper on AI and digital assets. They claim AI adoption will drive digital asset economy. U are not bullish enough.

avatar

Bitcoin takes the center stage as the Clarity Act failed to pass the Senate and the Bitcoin Act is getting momentum.

avatar

Smart move from Spacex. Data is still the new oil. It is extremely important for AI. Without data, AI can’t be trained.