— C+

Intel · 101

Frameworks and primers.

34 frameworks that anchor the closelook.net thesis — written to be read in under ten minutes, updated when the underlying thesis moves. Heat score reflects current relevance; rising arrows flag the frameworks that are accumulating citation momentum.

Heat score · 0–100, hotter = more load-bearing
  • 80+
  • 65–79
  • 50–64
  • <50
  1. 01 Agentic AI: Who Eats Whose Lunch — A Concrete Winner/Loser Map Agentic AI — autonomous software agents that execute multi-step tasks without human supervision — is the most disruptive technology shift since mobile. But unli… 92 ↑
  2. 02 Agentic Winners 25: A Seismograph, Not a Portfolio AW25 is a tactical sensor array of 25 agentic software companies across 7 sectors. It applies the same five-dimension Temperature scoring used for macro instrum… 90 ↑
  3. 03 NVIDIA Investor's Timeline: Hopper to Blackwell to Rubin and Beyond NVIDIA releases new GPU architectures on roughly annual cadence: Hopper (2022), Blackwell (2024-2025), Rubin (2026), and a next-generation architecture (2027+).… 88 ↑
  4. 04 SaaSpocalypse: Why Agentic AI Destroys the SaaS Pricing Moat The SaaSpocalypse is Closelook's thesis that agentic AI will systematically destroy the pricing moat of most SaaS companies. The argument: SaaS companies charge… 88 ↑
  5. 05 Inference Economics: How the Training-to-Inference Shift Changes Everything The AI industry is shifting from a training-dominated phase (where the biggest spend goes to training new models) to an inference-dominated phase (where the big… 85 ↑
  6. 06 Money Temperature: Measuring Regime Intensity, Not Predicting Direction Money Temperature assigns a score from 0 to 100 to each of eight instruments that define how capital flows through global markets. The score is not a forecast —… 85 ↑
  7. 07 Work-as-a-Service: The Post-SaaS Business Model SaaS (Software-as-a-Service) sold access to tools — you pay per seat per month for the right to use software. Work-as-a-Service (WaaS) sells completed outcomes … 85 ↑
  8. 08 Agentic AI Adoption Curve: Where We Are and What Comes Next Agentic AI adoption in early 2026 is at the 'experimentation' phase — enterprises are running pilots, vendors are shipping agent frameworks, but production depl… 84 ↑
  9. 09 Alt-Hyperscalers: Why CoreWeave, Nebius, and Lambda Labs Matter A new class of cloud providers — CoreWeave, Nebius (ex-Yandex), Lambda Labs, Together AI, and others — is challenging the AWS/Azure/GCP oligopoly by offering wh… 82 ↑
  10. 10 Market Regime Scoring: Green, Yellow, Red — and What It Means Market Regime is the first and most important level of the Weekly Signal framework. The composite score (0-100) classifies the current environment into three zo… 82 ↑
  11. 11 AI Infrastructure Outlook 2026: Layers, Risks, and Positioning 2026 is the year AI infrastructure investing shifts from 'buy everything AI' to structural selection. The easy money phase — where any semiconductor stock ralli… 80 ·
  12. 12 Cascade Tracker: The 5-Domino Model of Regime Breakdown The <strong>5-Domino Cascade</strong> is Closelook's sequence model for how cross-asset relationships break down when markets shift regime. The core idea: corre… 80 ↑
  13. 13 Cloudflare as Agentic Toll Booth: The Infrastructure Tax on Every Agent Cloudflare (NET) is positioning itself as the infrastructure tax on every AI agent interaction. Workers provide serverless compute at the edge where agents exec… 80 ↑
  14. 14 The Packaging Bottleneck: Advanced Packaging as the AI Chokepoint Advanced packaging is the most acute physical bottleneck in the AI infrastructure supply chain. Every high-performance AI chip — from NVIDIA's Blackwell to Goog… 80 ·
  15. 15 ABR — Agent Beneficiary Ratio: Scoring AI Disruption Impact The Agent Beneficiary Ratio (ABR) is a proprietary 5-dimension scoring framework that analyzes how autonomous AI agents structurally impact public companies. It… 78 ↑
  16. 16 Cointegration: When the Rules of the Game Change Two assets are cointegrated when they share a long-run equilibrium — they can wander apart in the short term, but a force pulls them back together. The SPY/GLD … 78 ↑
  17. 17 Temperature Dimensions: The Five Signals Behind the Score Money Temperature is a 0-100 composite. Each instrument's score is the sum of five dimensions that measure different aspects of how a price move is behaving: <s… 78 ↑
  18. 18 The CapEx Cliff Question: When Does AI Infrastructure Spending Peak? The CapEx Cliff is the single most important risk factor in AI infrastructure investing. Hyperscalers (Microsoft, Google, Amazon, Meta) are spending over $200 b… 78 ↑
  19. 19 Memory Wall & HBM Economics: The Next AI Constraint The Memory Wall describes the growing gap between AI compute capability and memory bandwidth. Every generation of AI accelerators demands more memory bandwidth … 76 ↑
  20. 20 Sovereign AI: The National Compute Arms Race and Its Investment Map Sovereign AI is the geopolitical recognition that compute infrastructure is as strategically important as energy, telecommunications, and defense. Nations are b… 76 ↑
  21. 21 AI Barbell Strategy: Long Infrastructure, Short Disrupted Incumbents The AI Barbell is Closelook's core portfolio construction principle: concentrate the long side in AI infrastructure companies that benefit regardless of which a… 75 ↑
  22. 22 The Power Constraint: Electricity as the Next Limiter for AI Electricity is becoming the next physical constraint on AI deployment. A single NVIDIA B200 GPU rack consumes 120kW — a modern AI data center with 100,000 GPUs … 74 ↑
  23. 23 Agentic Accounting: When AI Moves from R&D to Cost of Goods Sold A quiet revolution is happening in corporate accounting. As AI agents move from experimental tools to production systems that directly generate revenue, CFOs ar… 72 ↑
  24. 24 Why Functional Indices Beat Cap-Weighted Semiconductor ETFs Cap-weighted semiconductor ETFs like SMH and SOXX are not supply chain tools — they are NVIDIA proxies. SMH allocates ~25% to a single company, ignoring the 95+… 72 ·
  25. 25 Why Semiconductor ETFs Miss the Real Story The most popular semiconductor ETFs — VanEck SMH and iShares SOXX — are marketed as broad semiconductor exposure. In reality, they are heavily concentrated in 4… 72 ↑
  26. 26 Half-Life: How Fast a Spread Returns to Its Mean The <strong>half-life</strong> of a cointegrated pair is the expected number of days for its spread to return halfway from its current level to its long-run equ… 70 ↑
  27. 27 Non-US Tech: The Widest Valuation Gap in a Decade European and Asian technology companies trade at a 40-60% discount to US peers on most valuation metrics (P/E, EV/Revenue, EV/EBITDA). This is the widest gap in… 70 ↑
  28. 28 Software-Credit Nexus: When SaaS Collapse Meets Private Credit Risk The Software-Credit Nexus is Closelook's analysis of how AI-driven SaaS disruption could trigger a private credit crisis. The mechanism: private equity firms ha… 70 ↑
  29. 29 Weekly Signal Composite: How Closelook Reads Market Regime The Weekly Signal is Closelook's proprietary market regime analysis, published every week. It uses 7 analytical levels (Regime, Trend, Health, Context, Timing, … 70 ·
  30. 30 Constraint Sectors: Why Bottlenecks Equal Pricing Power Constraint Sectors are the segments of the AI supply chain where demand structurally exceeds supply — creating pricing power that persists through cycles. Close… 68 ·
  31. 31 Hurst Exponent: Persistence, Mean-Reversion, or Random Walk The <strong>Hurst exponent (H)</strong> is a statistical measure of time-series persistence. It sits on a 0-to-1 scale. Values below 0.5 indicate mean-reverting… 68 ↑
  32. 32 Cooling as Investment Theme: The Thermal Wall in AI Data Centers AI data centers hit a thermal wall: NVIDIA's B200 GPUs generate over 1,000W per chip, and racks with 8 GPUs consume 10kW+. Traditional air cooling cannot dissip… 66 ·
  33. 33 Sentinel Tickers: ASML, Advantest, and Micron as Semiconductor Cycle Indicators Sentinel Tickers are Closelook's early warning system for the semiconductor cycle. Three companies — ASML (lithography), Advantest (chip testing), and Micron (m… 65 ·
  34. 34 Stack Flip: When Price Crosses the 200-Day Moving Average A <strong>stack flip</strong> happens when an instrument's price crosses one of its major moving averages — most often the 200-day SMA. The flip is a binary sta… 65 ·
  35. 35 Divergence: When Price and Its Indicators Disagree A <strong>divergence</strong> is a disagreement between price and a confirming indicator. The most common types are <em>RSI divergence</em> (price makes a new h… 62 ·
  36. 36 Bollinger Coiling: When Volatility Compresses Before Expanding <strong>Bollinger coiling</strong> is the state where the Bollinger Bands — typically set at two standard deviations above and below a 20-day moving average — h… 60 ·
  37. 37 The 6-Layer Model: How Closelook Maps the AI Supply Chain Closelook organizes the entire AI infrastructure supply chain into six functional layers: Silicon (lithography, fabrication, packaging), Memory (HBM, DDR5, stor… 60 ·
  38. 38 Testing Bottleneck: Advantest and the Underestimated Constraint Every semiconductor chip — from NVIDIA's B200 to SK Hynix's HBM3E — must pass through automated test equipment (ATE) before it ships. Advantest dominates the AT… 58 ·
  39. 39 Reference Portfolio: Skin in the Game, Not Benchmark Tracking Closelook operates five model portfolios as reference portfolios — not benchmarks to track, but live positions with real capital behind them. The distinction ma… 55 ·
  40. 40 The Digital Labor Economy: Outcome Credits, Agent Identity, and Value Auditing A parallel economy is forming around autonomous AI agents. Just as human labor has payroll systems, performance reviews, and identity management, the digital la… 55 ↑
  41. 41 Directional Alpha: 51 Patterns for Prediction Market Trading Directional Alpha is Closelook's systematic framework for trading prediction markets — platforms like Kalshi, Polymarket, and Metaculus where you bet on real-wo… 45 ·

41 entries · heat scores reviewed monthly.