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Copper Hit a Wall: Why Data Centers Must Switch to Light — and the Photonics Supply-Chain Map

Copper Hit a Wall: Why Data Centers Must Switch to Light — and the Photonics Supply-Chain Map

Copper Hit a Wall: Why Data Centers Must Switch to Light — and the Photonics Supply-Chain Map

Copper breaks down past about three feet — overheating and burning power. Data centers are racing from 800Gb to 1.6Tb and 3.2Tb, and China just reset the ceiling with a single hair-thin fiber carrying 5x more data than anything else. Here's the full photonics supply chain behind the copper-to-light shift, plus FOTO, the first pure-play photonics ETF.

Are the SpaceX, OpenAI, and Anthropic IPOs 50% Overvalued? Why I'm Wary of Hype Already Pumped in Private Markets

Are the SpaceX, OpenAI, and Anthropic IPOs 50% Overvalued? Why I'm Wary of Hype Already Pumped in Private Markets

Are the SpaceX, OpenAI, and Anthropic IPOs 50% Overvalued? Why I'm Wary of Hype Already Pumped in Private Markets

Some commentators say the SpaceX IPO is nearly 50% overvalued. My take: don't chase it. Meta (then Facebook) traded much lower a year after its glamorous IPO, and the hype usually peaks before the listing. I see more downside than upside risk across SpaceX, OpenAI, and Anthropic.

A 3-Layer Portfolio Framework for the 9 AI Infrastructure Stocks — 40/40/20 Weighting

A 3-Layer Portfolio Framework for the 9 AI Infrastructure Stocks — 40/40/20 Weighting

A 3-Layer Portfolio Framework for the 9 AI Infrastructure Stocks — 40/40/20 Weighting

A weighting framework that splits the 9 AI infrastructure stocks into 3 layers — Foundation 40% (Vistra·Eaton·Vertiv), Silicon 40% (Broadcom 35%, Marvell 30%, Micron 20%, Amkor 15%), Materials 20% (Southern Copper·Corning). Phase 1 entry is just Vistra + Broadcom for 70% of the exposure. Plus 5 specific triggers for rebalancing.

Two Moats in Enterprise AI Software — Palantir vs. Alphabet

Two Moats in Enterprise AI Software — Palantir vs. Alphabet

Two Moats in Enterprise AI Software — Palantir vs. Alphabet

Palantir has a narrow and deep moat embedded in the FAA and DoD (AIP is becoming the operating system). Alphabet has a wide and massive moat — a $243B cloud backlog and $175–$185B in 2025 capex — that manufactures the AI cycle rather than just receives it. Both get labeled "AI software beneficiaries," but the structure is entirely different. Picking just one is a trap.

Uber Stock Analysis — 76% Market Share, Network Effects, and the Autonomous Driving Variable

Uber Stock Analysis — 76% Market Share, Network Effects, and the Autonomous Driving Variable

Uber Stock Analysis — 76% Market Share, Network Effects, and the Autonomous Driving Variable

Uber holds 76% of U.S. ride-hailing, generated $8.7 billion in free cash flow in 2025, and trades at a P/E of 15x. Its network-effect moat is strong, but Waymo and Tesla's autonomous vehicle push is the biggest variable. Even the conservative valuation scenario implies 23% upside from the current $73 price.

The Exponential Technology S-Curve: Why This May Be Your Last Window for Outsized Returns

The Exponential Technology S-Curve: Why This May Be Your Last Window for Outsized Returns

The Exponential Technology S-Curve: Why This May Be Your Last Window for Outsized Returns

The Magnificent 7 now represent over one-third of US market capitalization. Historically, investors who enter during the early adoption phase of exponential technology S-curves capture 10-50x returns before growth becomes obvious. AI, energy transition, and biotech are all entering that phase simultaneously.

The Internet, GPS, Jet Engines: History's Pattern of Military-to-Civilian Tech Is Repeating With Drones

The Internet, GPS, Jet Engines: History's Pattern of Military-to-Civilian Tech Is Repeating With Drones

The Internet, GPS, Jet Engines: History's Pattern of Military-to-Civilian Tech Is Repeating With Drones

The internet (ARPANET), GPS, and jet engines all started as military technology before creating trillion-dollar civilian industries. Drone autonomous navigation, AI targeting, and swarm technology are following the same path — companies winning military contracts today are positioned to dominate civilian markets tomorrow.

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