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Why Meta and Amazon Tanked on AI Capex — and Why I See It as a Buying Opportunity

Why Meta and Amazon Tanked on AI Capex — and Why I See It as a Buying Opportunity

Why Meta and Amazon Tanked on AI Capex — and Why I See It as a Buying Opportunity

Meta dropped 25–30% from its all-time high. Amazon fell from $240 to under $200. Neither dropped because the business broke — both did because they announced tens of billions in AI infrastructure spend. Accounting costs land immediately while revenue from those costs lands across 5–10 years, compressing short-term margins. That's moat-widening, not breakage — and the window where the market reacts only to short-term P&L is the buying opportunity.

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.

The 5 Names Holding Up the AI Infrastructure Rally — Nvidia, TSM, Micron, Vertiv, SMH

The 5 Names Holding Up the AI Infrastructure Rally — Nvidia, TSM, Micron, Vertiv, SMH

The 5 Names Holding Up the AI Infrastructure Rally — Nvidia, TSM, Micron, Vertiv, SMH

With the Fortune 500 committing hundreds of billions in AI infrastructure capex, Nvidia (GPU backbone), TSM (foundry bottleneck, 2026 guide above 30%), Micron (HBM sold out through 2026), Vertiv (power and cooling), and SMH (ecosystem basket, up 133%+ in a year) sit on the path that capex flows down. The market is pricing this as a 1–2 year cycle. My read is at least three.

The Real Story Is in the Mix — What HPC at 61% and Sub-7nm at 74% Say About AI Demand

The Real Story Is in the Mix — What HPC at 61% and Sub-7nm at 74% Say About AI Demand

The Real Story Is in the Mix — What HPC at 61% and Sub-7nm at 74% Say About AI Demand

TSMC's HPC revenue share jumped from 55% to 61% in a single quarter, and sub-7nm represented 74% of wafer revenue. A six-point single-quarter mix shift is structural, not cosmetic. From a company estimated at ~90% share of AI data center chip production, this is the single hardest signal to argue against an "AI demand is cooling" thesis.

Up 7x in a Day: What Allbirds' AI Pivot Reveals About the First Crack in the Bubble

Up 7x in a Day: What Allbirds' AI Pivot Reveals About the First Crack in the Bubble

Up 7x in a Day: What Allbirds' AI Pivot Reveals About the First Crack in the Bubble

A shoe company called Allbirds announced a rebrand to "NewBird AI" — its market cap jumped from $21M to $148M in a single day, a 600%+ spike. No new products, no roadmap, no actual AI capability. This mirrors the 1999 ".com rename" phenomenon structurally, and signals that right now calls for shopping-list discipline, not FOMO entries at all-time highs.

Palantir Is Neither an AI Stock Nor a Defense Stock — It's Becoming Something New

Palantir Is Neither an AI Stock Nor a Defense Stock — It's Becoming Something New

Palantir Is Neither an AI Stock Nor a Defense Stock — It's Becoming Something New

Labeling Palantir as just an AI stock or defense stock misses the point. The company is becoming a decision infrastructure business that helps institutions make better calls from complex data. Despite a 27% pullback, the business value — backed by 70% revenue growth and 137% commercial growth — is actually strengthening.

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