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AI Infrastructure Investment Map

Where $1.8 Trillion Flows Through 7 Layers of AI Infrastructure

Follow the money from GPUs to power grids. 36+ companies building the backbone of artificial intelligence, analyzed with AI-powered insights and MoonshotScores.

$1095B
Total Addressable Market
7
Infrastructure Layers
36+
Companies Analyzed

The AI Infrastructure Stack

Every dollar invested in AI flows through these layers. Understand the stack, find the opportunities.

Layer 1

GPUs & Accelerators

The beating heart of AI. Every model, every inference, every breakthrough starts here.

$180B
28% CAGR
2 stocks
Layer 2

ASICs, TPUs & Chip Design

Custom silicon is the next frontier. Hyperscalers are designing their own chips.

$95B
24% CAGR
5 stocks
Layer 3

Memory & Storage

AI models are memory-hungry beasts. HBM is the new gold standard.

$120B
18% CAGR
3 stocks
Layer 4

Networking & Interconnect

Speed of light isn't fast enough. AI clusters need next-gen networking.

$85B
22% CAGR
5 stocks
Layer 5

Foundry & Advanced Packaging

Where digital dreams become physical reality. The factories of the future.

$210B
15% CAGR
7 stocks
Layer 6

AI Utility & Cloud Layer

The new utilities of the digital age. Renting compute like renting electricity.

$65B
35% CAGR
4 stocks
Layer 7

Energy & Power Infrastructure

AI's insatiable appetite for power is rebuilding the entire energy grid.

$340B
12% CAGR
10 stocks

Why This Matters for Investors

AI infrastructure spending is accelerating at an unprecedented rate. Understanding where the money flows helps you identify the companies that will benefit most from this multi-trillion dollar buildout.

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Featured Companies

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Quick Answer

AI Money Flow maps $1.8 trillion flowing through 7 layers of AI infrastructure — from GPUs and custom ASICs to memory, networking, foundries, cloud compute, and power grids. Over 100 companies are analyzed with MoonshotScores, market sizing, growth rates, and AI-powered investment narratives to help investors understand where capital is being deployed across the AI ecosystem.

100+ Companies Analyzed
7 Infrastructure Layers
$1.8T Total Market Mapped
Daily Data Updates

How Does AI Money Flow Work?

1
Map 7 Infrastructure Layers

We break down the entire AI supply chain into 7 investable layers: GPUs, ASICs, memory, networking, foundries, cloud compute, and energy. Each layer is sized by total addressable market and growth rate.

2
Track Capital Flow

Follow how money flows from the top of the stack (AI applications) down through each infrastructure layer. Every layer depends on the one below it, creating a chain of investment opportunities.

3
Score Companies

Each company is evaluated with a MoonshotScore based on revenue growth, margin expansion, competitive positioning, and AI revenue exposure. Over 100 companies across all 7 layers.

4
AI-Powered Analysis

Our AI engine generates investment narratives, key insights, and stock highlights for every layer using real-time financial data from FMP and other institutional-grade providers.

5
Interactive Visualization

Explore the full AI stack interactively — scroll through layers, compare companies, read AI analysis, and click into any stock for a deep-dive report with live market data.

Where Does the Data Come From?

Financial Modeling Prep (FMP) primary
Financials, market cap, revenue growth, price targets
Industry Reports & Research secondary
Market sizing, TAM estimates, growth projections
Company Filings (10-K, 10-Q) supplementary
AI revenue breakdowns, capex disclosures, guidance

Frequently Asked Questions

What are the 7 layers of AI infrastructure?

The 7 layers are: (1) GPUs & Accelerators — the compute engines powering AI training and inference, (2) ASICs, TPUs & Chip Design — custom silicon for specialized AI workloads, (3) Memory & Storage — HBM and high-speed storage for data-hungry models, (4) Networking & Interconnect — ultra-low latency connections between GPU clusters, (5) Foundry & Advanced Packaging — the fabs that manufacture AI chips, (6) AI Utility & Cloud Layer — GPU cloud providers democratizing access, and (7) Energy & Power Infrastructure — the power grids and generation capacity AI demands.

How are companies scored in AI Money Flow?

Each company receives a MoonshotScore (0-100) based on multiple factors including revenue growth, AI revenue exposure, competitive moat, margin expansion, and forward guidance. The score combines quantitative financial data from FMP with qualitative analysis of each company's position within their infrastructure layer. Higher scores indicate stronger AI investment potential.

How often is AI Money Flow data updated?

Stock prices and market capitalizations are updated daily. AI-powered narratives and investment analysis refresh regularly as new earnings reports and industry data become available. Market sizing and growth projections are updated quarterly based on the latest industry research and company disclosures.

Is AI Money Flow free to use?

Yes, AI Money Flow is 100% free with no paywall. All 7 layers, 100+ company profiles, MoonshotScores, and AI-generated investment narratives are accessible to every user. It is an educational research tool — not financial advice. Always consult a licensed financial advisor before making investment decisions.

What methodology is used for market sizing?

Market sizes (TAM) are derived from a combination of industry analyst reports, company earnings disclosures, and publicly available research from firms like Gartner, IDC, and McKinsey. Growth rates (CAGR) represent consensus forward projections. We cross-reference multiple sources to ensure accuracy and update estimates as new data emerges.

How does AI Money Flow differ from a stock screener?

While a stock screener filters stocks by financial metrics, AI Money Flow maps the entire AI investment ecosystem by infrastructure layer. It shows how money flows through the supply chain, identifies dependencies between layers, and provides context about why each layer matters. This thematic approach helps investors understand the AI buildout holistically rather than evaluating stocks in isolation.

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