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Data Centers & Cloud

The buildout behind the AI bill

Hyperscaler capex, colocation supply, power, cooling and networking — where the money goes after the GPU order, and which companies book it.

What Big Funds Own22 fundsWhat Berkshire, Bridgewater and other big funds reported holding last quarter.What Analysts Expect16 stocksRatings and price targets from the big institutions, each with its public source.

2026-07-15

AWS data center skyline at sunset with a departing executive silhouette, $25B bond sale banner, and Amazon ticker showing 28% AWS growth
AI & Software / Cloud Leadership
AMZN•13 min read

Amazon Just Lost a 19-Year AWS S-Team Veteran Right When the AI Capex Cycle Is at Its Peak

Dave Brown, an Amazon Web Services SVP who helped assemble the original EC2 service in South Africa in the 2000s and oversaw AWS's compute and machine learning units including Bedrock and SageMaker, plans to leave the company at the end of July 2026 after nearly 19 years. He will be replaced by Dave Treadwell from the e-commerce division. Brown's exit from Jassy's 28-person S-team comes as AWS recorded 28% revenue growth in Q1 2026 and as Amazon raised at least $25B in a bond sale to fund its AI capex - the worst possible timing for a leadership transition.

Tenure: ~19 yrsS-team count: 28 execs
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A data center cold plate liquid cooling loop on a server rack, a dielectric coolant reservoir in the foreground, an AI GPU cluster with cold plates attached, and a high-density server hall in a hyperscaler data center
AI & Software / Data Center Thermal Deep-Dive
VRT · ASTK.OL•21 min read

Liquid Cooling Deep Dive: How Vertiv, Boyd, Rittal, CoolIT Systems, and Asetek Built the Most Concentrated AI Data Center Thermal Stack of the Cycle

Liquid cooling is the binding AI data center thermal stack of the cycle - air cooling is no longer sufficient for AI accelerators >700W TDP, and the 2026-2028 liquid cooling demand is the cleanest single read on the AI capex cycle's thermal leg. Vertiv leads with ~30% liquid cooling share, Boyd at ~10%, Rittal at ~10%, CoolIT Systems (the cleanest pure-play, recently acquired by Eaton) at ~8%, and Asetek at ~5%. This is a full-stack deep-dive into liquid cooling: cold plate (DLC) vs immersion (single-phase + two-phase) vs rear-door heat exchanger (RDHx), the coolant chemistry (PG-25, dielectric fluids), the customer base (Microsoft, Alphabet, Amazon, Meta), the top experts, the capex, the 2026-2028 supply-demand, and the read-through for the AI capex stack.

Liquid cooling market 2025: ~$7BAI data center power density 2026E: 100+ kW/rack
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2026-07-14

A former bitcoin mining campus transforming into a hyperscale data center with power substations and long-term lease cash flows
Crypto / Digital Infrastructure
CLSK•14 min read

CleanSpark's $6.6 Billion Lease Turns a Bitcoin Miner Into a Power-and-Compute Landlord

CleanSpark's July 14 SEC filing disclosed a 20-year data-center lease covering 175 megawatts of critical IT load, approximately $6.6 billion of initial-term rent, and about $330 million of average annual net operating income. The market's 8.7% midday response is not just an AI enthusiasm trade: it is a vote that contracted rent from investment-grade compute demand can deserve a very different multiple from volatile bitcoin-mining cash flow.

Initial rent: $6.6BCritical IT load: 175 MW
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2026-07-13

Data center and power-grid graphic showing electricity and interconnection bottlenecks
AI / Infrastructure
12 min read

AI Data Centers Are Hitting the U.S. Grid Before They Hit Scale

Meta's expanded Louisiana build shows hyperscalers are still willing to spend at a shocking scale, but the real bottleneck is now transformers, interconnection queues, and local resistance. The winners are shifting from pure compute landlords to whoever can finance electricity.

Meta project cost: $50BCompute capacity: 5 GW
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2026-07-02

Abstract cloud and compute graphic showing excess AI capacity turning into revenue
AI / Cloud
META•9 min read

Meta's Cloud Pivot Turns Excess AI Compute Into a Monetization Test

Reuters reported that Meta is building a cloud business to sell excess AI computing capacity, and the stock jumped more than 10% intraday. The deeper story is that AI infrastructure is starting to behave like an asset with resale value instead of just a cost center.

Intraday Move: 10%+Q1 Revenue: $56.3B
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2026-07-01

Electric grid and data center load graphic with demand growth and power bottlenecks
Energy / AI Infrastructure
9 min read

Data Center Power Is Becoming the Real AI Scarcity Asset

The IEA and EIA now describe data centers as one of the biggest drivers of future electricity demand. The scarce input is no longer only GPUs: it is grid capacity, interconnection speed, substation gear, and politically permitted electrons.

Data center electricity: 460 TWh2025 growth: +17%
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Liquid-cooled AI rack and heat removal graphic
Data Center Infrastructure
NVDA · SMCI•8 min read

Liquid Cooling Is Becoming the Default Thermal Stack for AI Data Centers

NVIDIA, Supermicro, Vertiv, and Dell are all describing 100kW+ racks, 120-132kW liquid-cooled designs, and large efficiency gains. The read-through is that liquid cooling has moved from an optional upgrade to the default thermal stack for AI factories.

Rack Density: 100-132kWWater Efficiency: >300x
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Stylized Sandisk storage and datacenter graphic showing AI demand and margin expansion
Industry Analysis
SNDK•9 min read

Sandisk's Datacenter Breakout Shows NAND Has Stopped Behaving Like Commodity Flash

Sandisk's Q3 FY2026 results show revenue up 97% sequentially, gross margin at 78.4%, datacenter demand up 233%, and a zero-debt balance sheet. The read-through is that NAND is increasingly being priced like AI infrastructure capacity, not generic storage.

Revenue: $5.95BGross Margin: 78.4%
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2026-06-30

Abstract cloud capacity graphic showing AI compute scarcity and model access pressure
AI Infrastructure
GOOGL · META•10 min read

Google's Gemini Capacity Wall Shows the Real Bottleneck in AI Is Compute Allocation

Google limiting Meta's use of Gemini is a clean signal that frontier AI is now constrained by capacity, not just model quality. That shifts pricing power toward the owners of cloud, custom silicon, and power.

Google Cloud growth: 63%Cloud backlog: >$460B
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2026-06-24

Abstract data center roadmap graphic showing Qualcomm moving from devices to cloud
Strategy
QCOM•10 min read

Qualcomm Data Center Pivot

Qualcomm used Investor Day to reframe itself as an AI infrastructure company. The targets are aggressive: a $40B non-handset business by fiscal 2029, more than $15B from data centers, and a software stack broad enough to challenge the idea that AI silicon has to be vertically owned by one vendor.

FY2029 target: $40BData center target: $15B+
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What to expect

Evidence-first notes with a visible point of view.

This section collects sharp takes on earnings, shareholder meetings, and market structure. Each new piece should make the thesis, the facts, and the implications obvious within the first few screens.

Expect direct analysis, not generic commentary.

Expect the data to be explicit and the argument to be easy to follow.

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