Capital & ComputeAI economics, mapped

An atlas of AI economics

Follow the money behind intelligence.

AI looks like software. Underneath, it is a system of chips, power, models, labor and capital. Choose a thread and follow it all the way down.

Begin the descent Read the latest analysis
Topic worlds
06
Published analyses
113
Live tools
26

Six connected systems

Pick a point of entry.

Each path starts with the big picture, then moves into the evidence, tradeoffs and tools behind it.

  1. 01The price of intelligence

    AI costs

    Token prices are the sticker. Context, retries, subscriptions and unfinished work decide the bill.

    Start hereWhy Is My AI API Bill So High? 8 Causes and Fixes
    • The Price Reversal Phenomenon: When Cheaper AI Costs More
    • GPT-5.6 vs Claude Fable 5: Which Costs Less Per Task?
    Enter this topic worldModel your cost per task
  2. 02Software that builds software

    Coding agents

    The model matters. The harness, workflow and economics around it often matter more.

    Start hereThe 2026 AI Coding Agent Landscape: Leaders, Costs, Harness
    • Best Claude Code Agentic Workflows: 2026 Playbook
    • Build Your Own Agent Harness or Buy Claude Code?
    Enter this topic worldMap the agent landscape
  3. 03Capability under pressure

    Models & benchmarks

    Leaderboards compress messy reality into one number. Learn what survives outside the test.

    Start hereBest Open-Weight AI Models in 2026
    • Are AI Benchmarks Reliable? How the Scores Get Gamed
    • Harbor-Index: The AI Benchmark Where Nothing Tops 30%
    Enter this topic worldExplore the value leaderboard
  4. 04Intelligence you can own

    Local AI & hardware

    Memory capacity, bandwidth and utilization determine whether local inference is freedom or overhead.

    Start hereWhy Local LLMs Got Good in 2026: Capability & Cost
    • How Much RAM Do You Need to Run a Local LLM?
    • Local LLM Tokenomics: Self-Hosted Cost Per Token (2026)
    Enter this topic worldCheck what your hardware can run
  5. 05Concrete, power and capital

    Compute infrastructure

    Behind every model is a physical and financial stack measured in gigawatts, GPUs and debt.

    Start hereWhat Is an AI Data Center? Cost, Power, and Scale
    • AI Data Center Financing 2026: Inside the $700B Buildout
    • AI Training Costs 2026: GPT-5.6, Claude Fable 5, Gemini
    Enter this topic worldCompare inference providers
  6. 06Where adoption meets money

    AI markets

    Productivity, publishing and national strategy reveal where AI is creating value—and moving it.

    Start hereThe AI Productivity Paradox: A Central Bank Measured It
    • World Models: Why AI's Biggest Names Bet Billions in 2026
    • AI Search Broke the Web's Business Model. What Replaces It.
    Enter this topic worldFollow AI adoption by country

New signals

Fresh from the field.

View the full archive
  1. 01New AI Models Released in August 2026: The Full List
  2. 02AI Data Center Stocks: Where the Capex Lands
  3. 03Grok Bot Pricing: The $120 Door and What It Buys
  4. 04Claude Opus 5 vs Sonnet 5: Which Model Should You Use?

The record

Checkable, not just readable.

Numbers are attributed at the claim, not at the bottom. Datasets ship as JSON so you can cite the data instead of scraping the page. Every post states how many sources it rests on and when those numbers were last checked, and every error gets a correction.

Start hereEditorial standardsllms.txt

Published analyses
113
Free tools
26
Open datasets
16
JSON endpoints
7
Last published
Aug 14, 2026