{
  "_readme": "Machine-readable Core Loop Press catalog. Twelve numbered reader tools include Frontier IC25 as tool 09 and a standalone open-versus-closed model quiz as tool 12. Book retail URLs, ISBNs and ASINs remain empty until published; planned availability includes Amazon and other retailers.",
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  "updated": "2026-10-08",
  "publisher": {
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    "description": "Concept-driven nonfiction on AI-native firms, machine-scale work, and the economics of cognitive abundance.",
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      "slug": "intelligence-capitalism",
      "title": "Intelligence Capitalism",
      "subtitle": "Close Encounters with Cognitive Abundance",
      "fullTitle": "Intelligence Capitalism: Close Encounters with Cognitive Abundance",
      "author": {
        "name": "Bharat Rao",
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      "publisher": "Core Loop Press",
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      "edition": "First edition",
      "language": "en",
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      "plannedPublicationYear": "2026",
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      "subjects": [
        "AI strategy",
        "Organizational design",
        "Competition",
        "Entrepreneurship",
        "Labor economics",
        "Corporate governance",
        "Future of work"
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      "description": "Intelligence Capitalism examines how artificial intelligence changes the economics and architecture of the firm. Its central argument is that AI does more than make individual workers more productive. By reducing the cost of routine inference, information processing, and coordination, it can allow firms to expand output without proportionately expanding direct human headcount.",
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      "name": "Where do you stand on AI?",
      "url": "https://corelooppress.com/tools/where-do-i-stand/",
      "description": "React to ten statements about AI, then see where your own answers place you on a map of views.",
      "number": "01",
      "group": "about-you",
      "topic": "AI views",
      "interaction": "Respond to ten statements",
      "result": "Personal map of the reader's answers",
      "evidence": "Reader input",
      "boundary": "Reflection, not a representative survey"
    },
    {
      "name": "What would you hate to lose?",
      "url": "https://corelooppress.com/tools/what-would-you-hate-to-lose/",
      "description": "Choose three things you would hate to lose to AI, then see your picks beside the live tally on this site.",
      "number": "02",
      "group": "about-you",
      "topic": "Values and tradeoffs",
      "interaction": "Choose three things to protect",
      "result": "Reader picks beside a site tally",
      "evidence": "Reader input and anonymous site tally",
      "boundary": "Tally is descriptive; thresholds protect small groups"
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    {
      "name": "What protects your work from AI?",
      "url": "https://corelooppress.com/tools/exposure-audit/",
      "description": "Answer seven questions about your work, then see a profile of exposure and protection built from your answers.",
      "number": "03",
      "group": "about-you",
      "topic": "Career exposure and protection",
      "interaction": "Answer seven questions about work",
      "result": "Editorial profile based on answers",
      "evidence": "Reader input and fixed editorial values",
      "boundary": "Not a measured automation risk score"
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    {
      "name": "Is your job exposed to AI?",
      "url": "https://corelooppress.com/tools/your-job-and-ai/",
      "description": "Guess how exposed a job is to AI, then see the research estimate beside observed use, jobs and pay.",
      "number": "04",
      "group": "published-data",
      "topic": "Occupational AI exposure",
      "interaction": "Guess an occupation's exposure",
      "result": "Research estimate beside observed use, jobs and pay",
      "evidence": "Research ratings, Anthropic Economic Index and BLS",
      "boundary": "Exposure does not forecast job loss"
    },
    {
      "name": "Is your industry using AI?",
      "url": "https://corelooppress.com/tools/is-your-industry-adopting/",
      "description": "Guess the share of firms in your industry using AI, then see the Census figure for your state and size.",
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      "topic": "Business AI adoption",
      "interaction": "Guess firm adoption by industry, state and size",
      "result": "U.S. Census survey estimate",
      "evidence": "Census Business Trends and Outlook Survey",
      "boundary": "Survey adoption, not AI effectiveness"
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    {
      "name": "Who shows up in the compute data?",
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      "description": "Make seven guesses about AI chips, data centers and models, then see who appears in the partial public data.",
      "number": "06",
      "group": "published-data",
      "topic": "Compute concentration",
      "interaction": "Make seven guesses about chips, data centers and models",
      "result": "Reveals from partial open datasets",
      "evidence": "Epoch AI open datasets",
      "boundary": "Coverage is partial; do not infer a complete ownership census"
    },
    {
      "name": "How much power do data centers use?",
      "url": "https://corelooppress.com/tools/power-bill-of-intelligence/",
      "description": "Make four estimates about U.S. and global data-center electricity, a 2030 projection and Virginia commercial-sales growth; reveal dated sources.",
      "number": "07",
      "group": "published-data",
      "topic": "Data-center electricity demand",
      "interaction": "Make four estimates about U.S. and world use, a 2030 outlook and Virginia",
      "result": "Dated estimates, projection and local commercial-sales context",
      "evidence": "Berkeley Lab, IEA and EIA",
      "boundary": "Different models and vintages remain separate; Virginia sales are not data-center use"
    },
    {
      "name": "What do companies say about AI?",
      "url": "https://corelooppress.com/tools/say-versus-spend/",
      "description": "Start with the fixed IC 100 company list, compare all 100, and inspect filing passages beside reported financial figures. A separate study traces four AI-language topics across fiscal years.",
      "number": "08",
      "group": "published-data",
      "topic": "SEC filing evidence and company financial context",
      "interaction": "Browse five company groups and an all-100 comparison, then open a company record; follow a separate link for topic patterns",
      "result": "Linked filing passages, mention measures and reported figures; companion topic heat map and source excerpts",
      "evidence": "SEC EDGAR 10-K filings and XBRL company facts",
      "boundary": "Text patterns can miss synonyms or match hypothetical language; mentions do not establish activity, spending or attributed AI revenue",
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      "description": "Frontier IC25 edition 2026.3, evidence reviewed October 8, 2026 UTC: 25 profiles, model economics, financial scope, deployment and integrated value chains. The web tool is free. The updated 37-page source-linked PDF is available to confirmed newsletter subscribers; existing subscribers receive direct content access, while new subscriptions require an email confirmation. This is a dated editorial snapshot, not a ranking or live feed.",
      "number": "09",
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      "topic": "Frontier AI models, infrastructure and deployment",
      "interaction": "Search, filter and compare profiles across five views",
      "result": "Source-led organization profiles, scoped model tariffs and dated disclosures",
      "evidence": "118 original organization sources, official documentation and financial filings",
      "boundary": "Editorial selection, not a top-25 performance ranking or complete census",
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      "description": "Follow electricity, water and grid constraints through sourced data and an adjustable example.",
      "number": "10",
      "group": "published-data",
      "topic": "Physical resources of data centers",
      "interaction": "Judge six evidence-led claims",
      "result": "Evidence map covering equipment, water, electricity and grid connections",
      "evidence": "IEA and Berkeley Lab",
      "boundary": "Facility designs and local impacts vary"
    },
    {
      "name": "Compare country electricity systems",
      "url": "https://corelooppress.com/tools/country-electricity/",
      "description": "Compare demand, generation and power mix across six places using one dated Ember dataset.",
      "number": "11",
      "group": "published-data",
      "topic": "National electricity systems",
      "interaction": "Compare two of six places and two years",
      "result": "Demand, generation, power mix and change",
      "evidence": "Ember Yearly Electricity Data",
      "boundary": "National totals do not establish local grid access or AI readiness"
    },
    {
      "name": "How open is this AI?",
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      "description": "Eight source-linked questions distinguish API access, downloadable weights, use rights, disclosure and practical deployment.",
      "number": "12",
      "group": "published-data",
      "topic": "Open versus closed AI models",
      "interaction": "Answer eight scenarios and inspect each source-linked explanation",
      "result": "Four-topic breakdown of quiz answers with a downloadable share image",
      "evidence": "OSI definition and FAQ, official model release terms, hosting documentation and NIST Privacy Framework",
      "boundary": "A quiz result is not a model-openness score or a company-wide classification"
    }
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  "fieldGuides": [
    {
      "title": "A Field Guide to Intelligence Capitalism",
      "language": "en",
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      "title": "智能资本主义实战指南",
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      "pdf": "https://corelooppress.com/field-guides/pdf/intelligence-capitalism-field-guide-zh.pdf",
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      "title": "Guide de terrain du capitalisme de l’intelligence",
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