Advanced AI & Markets
How to Invest in AI: Stocks, ETFs, Infrastructure and Risk
A source-checked framework for how to invest in AI, with the evidence, calculations and failure modes an investor should examine.
AI research learning path
AI Investing and Valuation
Evaluate AI stocks, funds, private-company exposure, valuation, market breadth and historical analogues without turning a theme into a buy list.
23 source-backed guides. Start with the broader frameworks, then follow the related research paths.
Advanced AI & Markets
AI Stocks Explained: A Map of the AI Value Chain
Evaluate AI stocks through primary evidence, a worked calculation and the assumptions that can break the thesis.
Advanced AI & Markets
AI ETFs Explained: Holdings, Fees and Concentration Risk
An investor’s research guide to AI etf: what to measure, how to verify it and where confident conclusions can fail.
Advanced AI & Markets
AI ETFs vs Semiconductor ETFs: Exposure, Overlap and Risk
A practical workflow for AI etf vs semiconductor etf, connecting dated sources and unit economics to valuation, portfolio and risk decisions.
Advanced AI & Markets
How to Value an AI Stock: Revenue Quality, Margins and Cash Flow
Evaluate how to value AI stocks through primary evidence, a worked calculation and the assumptions that can break the thesis.
Advanced AI & Markets
Can You Buy OpenAI Stock? Public-Market Proxies and Private-Market Risks
An investor’s research guide to openai stock: what to measure, how to verify it and where confident conclusions can fail.
Advanced AI & Markets
OpenAI IPO: What Investors Can Verify and What Remains Speculation
A practical workflow for openai ipo, connecting dated sources and unit economics to valuation, portfolio and risk decisions.
Advanced AI & Markets
Can You Buy Anthropic Stock? Ownership, Access and Risk
A source-checked framework for anthropic stock, with the evidence, calculations and failure modes an investor should examine.
Advanced AI & Markets
Anthropic IPO Explained: Timeline Signals, Valuation and Uncertainty
Evaluate anthropic ipo through primary evidence, a worked calculation and the assumptions that can break the thesis.
Advanced AI & Markets
The AI Physical Economy: Industrials, Power, Materials and Construction
Evaluate physical AI investing through primary evidence, a worked calculation and the assumptions that can break the thesis.
Advanced AI & Markets
AI Return on Invested Capital: Measuring the Payoff From AI Spending
Evaluate AI return on invested capital through primary evidence, a worked calculation and the assumptions that can break the thesis.
Advanced AI & Markets
AI Stock Valuation Multiples: P/E, EV/Sales and Free Cash Flow
An investor’s research guide to AI stock valuation multiples: what to measure, how to verify it and where confident conclusions can fail.
Advanced AI & Markets
The AI TAM Trap: Why Market Size Is Not the Same as Company Value
A practical workflow for AI tam, connecting dated sources and unit economics to valuation, portfolio and risk decisions.
Advanced AI & Markets
AI Exposure Scores: How to Measure a Company's Real AI Sensitivity
A source-checked framework for AI exposure score, with the evidence, calculations and failure modes an investor should examine.
Advanced AI & Markets
Building an AI Investment Checklist: Demand, Moat, Valuation and Risk
A practical workflow for AI investment checklist, connecting dated sources and unit economics to valuation, portfolio and risk decisions.
Advanced AI & Markets
AI ETFs and Hidden Overlap: Measuring Concentration Across Funds
A source-checked framework for AI etf overlap, with the evidence, calculations and failure modes an investor should examine.
Advanced AI & Markets
Building a Diversified AI Portfolio Without Doubling the Same Risk
Evaluate diversified AI portfolio through primary evidence, a worked calculation and the assumptions that can break the thesis.
Advanced AI & Markets
AI Stocks vs the Dot-Com Bubble: Similarities and Differences
An investor’s research guide to AI stocks dot com bubble: what to measure, how to verify it and where confident conclusions can fail.
Advanced AI & Markets
The AI CapEx Cycle vs the Telecom Boom: A Historical Comparison
A practical workflow for AI capex telecom boom, connecting dated sources and unit economics to valuation, portfolio and risk decisions.
Advanced AI & Markets
AI Market Breadth: How to Tell Whether the Rally Is Expanding
An investor’s research guide to AI market breadth: what to measure, how to verify it and where confident conclusions can fail.
Advanced AI & Markets
AI Earnings Season: The Five Numbers That Matter Most
A practical workflow for AI earnings season, connecting dated sources and unit economics to valuation, portfolio and risk decisions.
Advanced AI & Markets
How Nvidia Earnings Move the AI Trade
A source-checked framework for nvidia earnings AI, with the evidence, calculations and failure modes an investor should examine.
Advanced AI & Markets
Nvidia's AI Moat: CUDA, Networking and Switching Costs
Evaluate nvidia AI moat through primary evidence, a worked calculation and the assumptions that can break the thesis.