AI & Software

Where AI spending is actually landing

Model releases, enterprise adoption and software margins, read for what they do to revenue — across the labs, the platforms and the software they run on.

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.

2026-07-03

AI power project finance graphic showing Brookfield capital and Bloom fuel-cell deployment

AI Infrastructure / Power

Bloom Energy's Brookfield Deal Turns AI Power Into Project Finance

Bloom Energy and Brookfield expanded their AI infrastructure partnership from $5 billion to $25 billion, and the market treated it as proof that AI power has become a financeable bottleneck. The real story is that data centers now need reliable megawatts fast enough that project finance, not just engineering, becomes the constraint.

Partnership: $25BPrior Framework: $5B

Broadcom AI guidance reset graphic with revenue bars and custom silicon signals

Semiconductors / AI Infrastructure

AVGO•10 min read

Broadcom's AI Reset Shows Custom Silicon Is Still a Great Business, but a Harder Trade

Broadcom still posted 48% revenue growth and $10.8 billion of AI semiconductor revenue, but the stock slipped as investors focused on what comes after the easy part of the cycle: proving that custom silicon, networking, and software can keep compounding once the bar is already high.

Q2 Revenue: $22.2BAI Semis: $10.8B

Constellation firm power graphic with load growth, baseload, and PPA bars

Energy / Utilities

MSFT · CEG•10 min read

Constellation Energy Shows Why AI Wants Firm Power, Not Just More Megawatts

Constellation ticked higher on July 2, but the real signal is structural: EIA expects U.S. electricity use to grow 1% in 2026 and 3% in 2027, while Constellation says data center power demand has tripled since 2014 and its 835 MW Crane restart for Microsoft shows why firm nuclear power is becoming an AI priority.

2026 U.S. load growth: 1%2027 U.S. load growth: 3%

2026-07-02

Abstract market split graphic with one side rising and the other side falling

META · SOXX•8 min read

The AI Trade Split in Two as Meta Rallied and Semis Slid

On July 1, Meta rallied more than 10% intraday while semiconductor stocks sold off and SOXX fell 6.48% on the day. The market was not dumping the whole tape; it was repricing the AI stack into winners that can monetize and suppliers that are already priced for perfection.

Meta Intraday Move: 10%+SOXX 1-Day Move: 6.48%

Abstract adtech platform graphic with self-serve access and scaling performance bars

Adtech / Software

APP•9 min read

AppLovin's Open Access Bet Turns Adtech Into a Distribution Story

AppLovin's stock rose after Raymond James initiated coverage and the company opened AppLovin Ads to all advertisers. The deeper thesis is that self-serve access turns AppLovin from a managed performance platform into a broader distribution business.

Q1 Revenue: $1.842BAdjusted EBITDA: $1.557B

Getty and Shutterstock breakup graphic with rights and regulation signals

Media / Licensing

GETY · SSTK•9 min read

Getty and Shutterstock's Breakup Shows AI Content Is a Rights Market, Not Just a Scale Market

Getty Images and Shutterstock are scrapping their merger after UK conditions made the deal uneconomic, and Shutterstock shares dropped roughly 30%. The deeper read is that AI-generated content has made rights, regulation, and distribution more important than simple scale.

Deal Value: $3.7BShutterstock Move: -29% to -32%

Abstract cloud and compute graphic showing excess AI capacity turning into revenue

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

2026-07-01

AI data center capex and cash flow graphic with bars, infrastructure, and balance sheet signals

GOOGL · AMZN•10 min read

The AI Capex Boom Is Turning Into a Depreciation and Free-Cash-Flow Test

Alphabet, Amazon, Meta, and Microsoft are all spending at a pace that looked absurd two years ago. The real question is no longer who can spend the most, but who can turn that spending into durable free cash flow before depreciation and lease commitments eat the story.

Alphabet 2026 capex: $180-190BAmazon 2026 capex: ~$200B

Abstract agentic AI interface with pricing rails, laboratory workflow, and trust signals

AI / Enterprise

Anthropic's Sonnet 5 Is a Pricing Reset for Enterprise AI

Anthropic's June 30 launch of Claude Sonnet 5, paired with Claude Science and temporary launch pricing of $2 per million input tokens and $10 per million output tokens, signals that enterprise AI is moving from benchmark theater to workflow economics.

Launch price: $2 / $10Post-promo price: $3 / $15

Electric grid and data center load graphic with demand growth and power bottlenecks

Energy / AI Infrastructure

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%

Stylized speculative decoding and long-context inference graphic

AI Infrastructure

DEEPSEEK•8 min read

DeepSeek's DSpark Shows Open-Source Inference Is Becoming Part of the Moat

DeepSpec says DSpark is the same checkpoint with an added speculative-decoding module, while DeepSeek-V4-Pro ships 1.6T parameters, 49B activated, 1M-token context, 27% FLOPs, and 10% KV cache versus V3.2. The read-through is that inference efficiency is now a core product feature, not a postscript.

Speedup: 57-85%Parameters: 1.6T / 49B

Multimodal video generation and creator workflow graphic

Gemini Omni Makes Video the New Google AI Funnel

Google says Gemini Omni can create and edit video from multimodal inputs and is rolling into the Gemini app, Google Flow, and YouTube Shorts. That pushes the AI fight from chat UI into creator tools, media production, and cloud distribution.

Input modes: 4Primary output: Video

Memory stack graphic showing bandwidth, pricing pressure, and capacity reallocation

Semiconductors / Memory

MU•9 min read

HBM Squeeze Battle Is No Longer Just About HBM

TrendForce says suppliers are prioritizing HBM and advanced-layer NAND, squeezing mature-node supply and pushing prices up across the memory stack. Samsung's HBM4E and Micron's latest cash generation show the market has moved from a shortage trade into a capacity-allocation regime.

DRAM revenue: +81%Conventional DRAM: +93-98%

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

Qualcomm chip, software layer, and Meta server stack graphic

Semiconductors / AI Infrastructure

Qualcomm's AI Pivot Is Now a Stack Bet, Not a Press Release

The Meta CPU agreement, Modular acquisition, and Dragonfly roadmap suggest Qualcomm is trying to become an edge-to-cloud AI platform rather than just a handset chip vendor.

FY2029 non-handset target: $40BFY2029 data center target: > $15B

Network hardware and inference acceleration graphic with data lanes and chip nodes

AI Infrastructure / Semiconductors

SILC•8 min read

Silicom's First AI Inference Order Is a Small Revenue Line With a Big Stack Signal

A first production order for an inference-specific solution suggests the next phase of AI capex is moving deeper into networking, data infrastructure, and edge-aware hardware. GPUs still matter, but the value chain is widening.

Order type: First productionRevenue: Multi-million $

Insurance shield and AI model graphic

Travelers' Insurance-Specific LLM Shows Where Enterprise AI Actually Pays

TravelersLLM is a useful case study in regulated AI: proprietary data, narrow scope, measurable underwriting lift, and no need to chase consumer hype.

2025 revenue: Nearly $49BQ1 2026 net income: $1.71B

Multimodal video generation and creator workflow graphic

Gemini Omni Turns Video Into Google's New AI Battleground

Google says Gemini Omni can create and edit video from multimodal inputs and is rolling into the Gemini app, Google Flow, and YouTube Shorts. That pushes the AI fight from chat UI into creator tools, media production, and cloud distribution.

Input modes: 4Primary output: Video

2026-06-30

Abstract humanoid robotics and public market visualization with deployment and capital themes

Robotics / Physical AI

NVDA · AMZN•10 min read

Agility Robotics Turns Humanoid Labor Into a Public-Market Story

Agility Robotics is taking the first U.S. humanoid robotics pure-play public at a $2.5 billion valuation, and the real story is not the ticker. It is the proof that robotics is moving from demo culture toward industrial deployment, with safety, sourcing, and customer orders now deciding who gets capital.

Pre-money value: $2.5BGross proceeds: >$620M

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

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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