SergeyCYW.substack.com
The center of gravity is shifting toward cloud, models, and physical AI infrastructure.
Google Cloud revenue reached $15.2B, up 34% YoY, while operating income jumped 85% to $3.6B, expanding margin to 23.7%.
The center of gravity is shifting toward cloud, models, and physical AI infrastructure.
Google Cloud revenue reached $15.2B, up 34% YoY, while operating income jumped 85% to $3.6B, expanding margin to 23.7%.
AI investment is accelerating at a historic pace, but a critical question remains unresolved: can physical capacity scale as fast as capital and demand?
Let's look at top 7 Ai companies #NBIS, #PLTR, #NVDA, #META, #TSM, #GOOGL, #TSLA 👇
Amazon’s growth engine is increasingly powered by AWS, automation, and deep infrastructure bets that most investors still underappreciate.
AWS accelerated to 20.2% YoY growth, reaching $33B in quarterly revenue and a $132B annualized run rate.
Amazon’s growth engine is increasingly powered by AWS, automation, and deep infrastructure bets that most investors still underappreciate.
AWS accelerated to 20.2% YoY growth, reaching $33B in quarterly revenue and a $132B annualized run rate.
The semiconductor industry is hitting a real inflection point. Estimates diverge wildly: $1.0T to $2.1T by 2032, depending on how fast AI compounds. Even the low case implies the largest expansion in the industry’s history.
The semiconductor industry is hitting a real inflection point. Estimates diverge wildly: $1.0T to $2.1T by 2032, depending on how fast AI compounds. Even the low case implies the largest expansion in the industry’s history.
#DUOL delivered a solid quarter with strong user growth, rising ARR, and best-in-class unit economics, supported by a massive $220B education TAM and a balance sheet with minimal leverage.
#DUOL delivered a solid quarter with strong user growth, rising ARR, and best-in-class unit economics, supported by a massive $220B education TAM and a balance sheet with minimal leverage.
Year-to-date performance across semiconductor stocks highlights a clear divergence between AI- and memory-exposed names and more mature or handset-linked businesses.
Year-to-date performance across semiconductor stocks highlights a clear divergence between AI- and memory-exposed names and more mature or handset-linked businesses.
#Micron delivered a quarter where growth and profitability moved in sync. Revenue reached $13.6B, up 57% YoY, well ahead of expectations. Operating income climbed 182% YoY, pushing operating margin to 45%. Net margin expanded to 38%.
The AI cybersecurity market is exploding:
$28.5B (2025) → $136B (2032) | 24.8% CAGR
Enterprises are now spending >15% more on AI-driven security to fight back.
AI is redefining defense — faster, predictive.
The question is: who builds the smarter shield? 👇
The AI cybersecurity market is exploding:
$28.5B (2025) → $136B (2032) | 24.8% CAGR
Enterprises are now spending >15% more on AI-driven security to fight back.
AI is redefining defense — faster, predictive.
The question is: who builds the smarter shield? 👇
AI isn’t just changing how we attack systems — it’s transforming how we defend them.
A new generation of AI-native cybersecurity platforms is scaling faster, automating faster, and reaching profitability faster than any cycle before.
AI isn’t just changing how we attack systems — it’s transforming how we defend them.
A new generation of AI-native cybersecurity platforms is scaling faster, automating faster, and reaching profitability faster than any cycle before.
The new generation of AI-native cybersecurity platforms is scaling faster and reaching profitability faster than ever.
Platform Consolidation:
#PANW dominates with a unified cloud + network + endpoint platform (30% margin at $10B+ scale).
The new generation of AI-native cybersecurity platforms is scaling faster and reaching profitability faster than ever.
Platform Consolidation:
#PANW dominates with a unified cloud + network + endpoint platform (30% margin at $10B+ scale).
Margins are tightening as infrastructure spending soars. The growth of AI compute is colliding with the limits of power generation. Can the grid scale fast enough to support trillion-dollar AI ambitions? 🧵👇
Margins are tightening as infrastructure spending soars. The growth of AI compute is colliding with the limits of power generation. Can the grid scale fast enough to support trillion-dollar AI ambitions? 🧵👇
The generative AI market is scaling into its hypergrowth phase — projected to expand from $22.2B in 2025 to $109.4B by 2030 (37.6% CAGR). What began as a software trend is becoming the backbone of digital transformation.
The generative AI market is scaling into its hypergrowth phase — projected to expand from $22.2B in 2025 to $109.4B by 2030 (37.6% CAGR). What began as a software trend is becoming the backbone of digital transformation.
Market Size: $7.9 billion (2025) → $236 billion (2034) | 45.8% CAGR
Key Public Companies: #PLTR #NOW #PATH 👇
The AI economy isn’t a single industry—it’s a layered system. Each layer feeds the next, from silicon physics to cloud delivery.
The AI economy isn’t a single industry—it’s a layered system. Each layer feeds the next, from silicon physics to cloud delivery.
The Rule of 40 helps investors balance growth and profitability, offering deeper insights into company efficiency, unlike EV/S multiples which reflect only revenue expectations.
The Rule of 40 helps investors balance growth and profitability, offering deeper insights into company efficiency, unlike EV/S multiples which reflect only revenue expectations.
Big Data is staring at a $400B–$960B runway with ~14% CAGR into 2030. Data creation keeps compounding. Storage, processing, and analytics have no choice but to follow.
Big Data is staring at a $400B–$960B runway with ~14% CAGR into 2030. Data creation keeps compounding. Storage, processing, and analytics have no choice but to follow.
1. EV/Sales relative to forward growth.
EV/Sales alone means nothing. A high multiple isn’t expensive if growth is strong, and a low multiple isn’t cheap if growth is collapsing. The metric only becomes useful when paired with NTM revenue expectations.
1. EV/Sales relative to forward growth.
EV/Sales alone means nothing. A high multiple isn’t expensive if growth is strong, and a low multiple isn’t cheap if growth is collapsing. The metric only becomes useful when paired with NTM revenue expectations.
Every AI model sits on top of a supply chain of chips, data centers, and power.
This is the industrial backbone of intelligence — built by public companies you already know.
Every AI model sits on top of a supply chain of chips, data centers, and power.
This is the industrial backbone of intelligence — built by public companies you already know.