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AI & Software Insights

실적, 시장 구조, 재무제표에 대한 리서치 노트입니다. 각 글은 결론부터 시작하고, 이후 근거와 시사점을 정리합니다.

2026-07-03

2026-07-02

Abstract market split graphic with one side rising and the other side falling
Markets / AI
META / SOXX8분 읽기

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%
기사 읽기
Abstract adtech platform graphic with self-serve access and scaling performance bars
Adtech / Software
APP9분 읽기

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
기사 읽기
Getty and Shutterstock breakup graphic with rights and regulation signals
Media / Licensing
GETY / SSTK9분 읽기

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%
기사 읽기
Abstract cloud and compute graphic showing excess AI capacity turning into revenue
AI / Cloud
META9분 읽기

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
기사 읽기

2026-07-01

AI data center capex and cash flow graphic with bars, infrastructure, and balance sheet signals
AI / Cloud
MAG710분 읽기

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
기사 읽기
Abstract agentic AI interface with pricing rails, laboratory workflow, and trust signals
AI / Enterprise
Private AI8분 읽기

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
기사 읽기
Electric grid and data center load graphic with demand growth and power bottlenecks
Energy / AI Infrastructure
XLU9분 읽기

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%
기사 읽기
Stylized speculative decoding and long-context inference graphic
AI Infrastructure
DeepSeek8분 읽기

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
기사 읽기
Multimodal video generation and creator workflow graphic
AI / Platforms
GOOGL9분 읽기

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
기사 읽기
Memory stack graphic showing bandwidth, pricing pressure, and capacity reallocation
Semiconductors / Memory
MU / SKH / Samsung9분 읽기

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%
기사 읽기
Liquid-cooled AI rack and heat removal graphic
Data Center Infrastructure
NVDA / SMCI / VRT / DELL8분 읽기

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
기사 읽기
Qualcomm chip, software layer, and Meta server stack graphic
Semiconductors / AI Infrastructure
QCOM10분 읽기

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
기사 읽기
Network hardware and inference acceleration graphic with data lanes and chip nodes
AI Infrastructure / Semiconductors
SILC8분 읽기

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 $
기사 읽기
Insurance shield and AI model graphic
AI / Insurance
TRV9분 읽기

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
기사 읽기
Multimodal video generation and creator workflow graphic
AI / Platforms
GOOGL9분 읽기

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
기사 읽기

2026-06-30

2026-06-29

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