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THU CLOSE · JUN 4, 2026  |  DJIA 51,561.93 ▲ 1.73% RECORD  ·  S&P 500 7,584.31 ▲ 0.41%  ·  NASDAQ 26,830.96 ▼ 0.09%  ·  STOXX 600 624.45 ▲ 0.5%  ·  10Y TREAS 4.475%  ·  WTI $93.04 ▼ 3.1%  ·  GOLD $4,475.80 ▲ $39.10  ·  AVGO ▼ 13% · $286B  ·  EURO $1.1613  ·  YEN 160.03  |  CAPITAL WEALTH END-OF-WEEK EDITION  | 
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DJIA51,561.93▲1.73%
S&P 5007,584.31▲0.41%
NASDAQ26,830.96▼0.09%
STOXX 600624.45▲0.5%
WTI$93.04▼3.1%
GOLD$4,475.80▲$39.10
10Y4.475%▼tight
AVGO$418.91▼13%
UNH$396.47▲5.2%
MBerkshire in▲25%
Specialty · AI Infrastructure · Power

The AI Boom's Scarcest Resource Isn't Chips Or Capital. It's A Transformer With A Delivery Date.

Thursday's Journal led with the most important AI story nobody trades on: more than 60% of the data-center capacity planned for 2027 isn't under construction yet. The hyperscalers will spend $670 billion this year — but money can't conjure gas turbines, electrical transformers, permits, or megawatts. The company best positioned for that world just sold Warren Buffett $10 billion of its stock.

Based on WSJ reporting (Katherine Blunt, Thursday A1 lead) · Capital Wealth analysis by Sean Anees Saifi · June 5, 2026
The constraint isn't capital — it's the grid.
The constraint isn't capital — it's the grid.

The Gap Between The Money And The Megawatts

The numbers are staggering on both sides. Microsoft (MSFT), Alphabet (GOOGL), Meta (META) and Amazon (AMZN) spent $410 billion on capital projects last year and are expected to top $670 billion this year — Meta alone up to $145 billion. Yet a JPMorgan analysis found that more than 60% of the data-center capacity planned for completion in 2027 isn't under construction yet, and another 7% is already delayed. The bottlenecks are stubbornly physical: gas turbines and electrical transformers on multi-year backorder (transformer prices are up roughly 90%), permitting fights, and — above everything — the availability of electric power.

Why this matters for the AI trade: the market has been pricing data-center revenue as if announced capacity equals built capacity. It doesn't. Every quarter of construction slippage pushes chip orders, server deliveries and cloud revenue to the right — and it makes the scarce inputs (power, grid equipment, energy infrastructure) more valuable relative to the abundant ones (capital, ambition, press releases).

Alphabet's Quiet Edge: It Owns A Power Company

The same day, Alphabet announced an $85 billion equity raise to fund the build-out — with Berkshire Hathaway (BRK.B) buying $10 billion of it at a negotiated discount, new CEO Greg Abel's second deal in a single weekend (he also bought homebuilder Taylor Morrison for $6.8 billion). An $85 billion raise from a company that prints cash tells you how big the capex mountain really is — one analyst said it 'really makes you wonder about the intensity of the capex needs over the next couple of years.'

But here's what separates Alphabet from the pack: it became the only big tech company to own a power company, buying renewables developer Intersect for $4.75 billion, building an in-house bench of energy experts, and just signing a three-year deal to free up 100 megawatts in PJM, the nation's largest power market. Microsoft is betting on restarting Three Mile Island; xAI and Meta are bolting gas turbines to their sites. When the binding constraint is electricity, the company with its own utility — and Buffett's co-sign — is playing a different game.

What This Means For The Book

We reinforced Alphabet (GOOGL), already held across the growth tiers — the Berkshire purchase and the Intersect power strategy make it the best-armored hyperscaler for a construction-constrained build-out. The bigger confirmation is for our standing power-and-infrastructure theme: when 60% of planned capacity can't break ground, the value migrates to whoever controls electrons and equipment. That's been the book's thesis since spring; Thursday's front page is the receipt.

Tickers Mentioned In This Article

Symbols are listed for reference. Not a recommendation. See Capital Wealth Model Portfolios for current allocations.

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