{
  "_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.",
  "schemaVersion": "1.0",
  "updated": "2026-09-27",
  "publisher": {
    "name": "Core Loop Press",
    "url": "https://corelooppress.com/",
    "location": "Berkeley, California",
    "mailingAddress": "1968 S. Coast Hwy #5495, Laguna Beach, CA 92651",
    "description": "Concept-driven nonfiction on AI-native firms, machine-scale work, and the economics of cognitive abundance.",
    "contact": {
      "name": "Jack Donovan",
      "role": "Operations",
      "email": "jack.donovan@corelooppress.com",
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        "translations",
        "permissions",
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        "bulk and course orders"
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    "logos": "https://corelooppress.com/press/#downloads"
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  "books": [
    {
      "slug": "intelligence-capitalism",
      "title": "Intelligence Capitalism",
      "subtitle": "Close Encounters with Cognitive Abundance",
      "fullTitle": "Intelligence Capitalism: Close Encounters with Cognitive Abundance",
      "author": {
        "name": "Bharat Rao",
        "credential": "Ph.D.",
        "profile": "https://corelooppress.com/authors/",
        "markdown": "https://corelooppress.com/authors/bharat-rao.md",
        "offerings": [
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          "Consultation",
          "Executive education"
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          "email": "jack.donovan@corelooppress.com",
          "page": "https://corelooppress.com/press/#requests"
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      },
      "publisher": "Core Loop Press",
      "publisherLocation": "Berkeley, California",
      "edition": "First edition",
      "language": "en",
      "status": "Coming soon",
      "plannedPublicationYear": "2026",
      "genre": "Nonfiction",
      "subjects": [
        "AI strategy",
        "Organizational design",
        "Competition",
        "Entrepreneurship",
        "Labor economics",
        "Corporate governance",
        "Future of work"
      ],
      "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.",
      "titlePage": "https://corelooppress.com/titles/intelligence-capitalism.html",
      "titlePageMarkdown": "https://corelooppress.com/titles/intelligence-capitalism.md",
      "facts": "https://corelooppress.com/insights/facts.txt",
      "cover": "https://corelooppress.com/covers/intelligence-capitalism-cover.png",
      "socialCard": "https://corelooppress.com/covers/intelligence-capitalism-social-card.png",
      "audioSummary": "https://corelooppress.com/assets/audio/intelligence-capitalism-summary.mp3",
      "retailStatus": "Available soon on Amazon and other retailers",
      "editions": [
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          "id": "ebook",
          "format": "Ebook",
          "schemaBookFormat": "https://schema.org/EBook",
          "retail": {
            "retailer": "Amazon",
            "asin": "",
            "isbn": "",
            "url": ""
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        },
        {
          "id": "paperback",
          "format": "Paperback",
          "schemaBookFormat": "https://schema.org/Paperback",
          "retail": {
            "retailer": "Amazon",
            "asin": "",
            "isbn": "",
            "url": ""
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        },
        {
          "id": "hardcover",
          "format": "Hardcover",
          "schemaBookFormat": "https://schema.org/Hardcover",
          "retail": {
            "retailer": "Amazon",
            "asin": "",
            "isbn": "",
            "url": ""
          }
        }
      ]
    }
  ],
  "tools": [
    {
      "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"
    },
    {
      "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"
    },
    {
      "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.",
      "number": "05",
      "group": "published-data",
      "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"
    },
    {
      "name": "Who shows up in the compute data?",
      "url": "https://corelooppress.com/tools/who-owns-the-compute/",
      "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",
      "companion_url": "https://corelooppress.com/tools/say-versus-spend/filing-language/",
      "frontier_companion_url": "https://corelooppress.com/tools/say-versus-spend/frontier-ic25/"
    },
    {
      "name": "What's happening at the frontier?",
      "url": "https://corelooppress.com/tools/say-versus-spend/frontier-ic25/",
      "description": "Explore 25 source-led profiles of model builders, scale enablers and AI-native deployers, with a dated Epoch capability comparison for selected models.",
      "number": "09",
      "group": "published-data",
      "topic": "Frontier AI organizations and model capability",
      "interaction": "Filter three organizational roles and inspect source-linked profiles",
      "result": "Editorial role map and selected model-level capability estimates",
      "evidence": "Linked organization sources and Epoch Capabilities Index",
      "boundary": "Editorial selection, not a top-25 performance ranking or complete census",
      "companion_to": "https://corelooppress.com/tools/say-versus-spend/",
      "profile_url_pattern": "https://corelooppress.com/tools/say-versus-spend/frontier-ic25/profiles/{id}/",
      "share_formats": ["1200x630 PNG", "1080x1350 PNG"]
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    {
      "name": "What does a data center actually need?",
      "url": "https://corelooppress.com/tools/data-center-resources/",
      "description": "Test six claims about servers, water, electricity and grid connections, then share an evidence map.",
      "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?",
      "url": "https://corelooppress.com/tools/open-or-closed/",
      "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"
    }
  ],
  "machineReadable": {
    "llms": "https://corelooppress.com/llms.txt",
    "llmsFull": "https://corelooppress.com/llms-full.txt",
    "facts": "https://corelooppress.com/insights/facts.txt",
    "sitemap": "https://corelooppress.com/sitemap.xml",
    "booksJson": "https://corelooppress.com/data/books.json",
    "authorsJson": "https://corelooppress.com/data/authors.json",
    "markdown": [
      "https://corelooppress.com/index.md",
      "https://corelooppress.com/titles/intelligence-capitalism.md",
      "https://corelooppress.com/tools/index.md",
      "https://corelooppress.com/press/index.md",
      "https://corelooppress.com/authors/bharat-rao.md"
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  },
  "toolsOverview": {
    "count": 12,
    "companion": {
      "name": "Frontier IC25",
      "number": "09",
      "url": "https://corelooppress.com/tools/say-versus-spend/frontier-ic25/",
      "edition": 2026,
      "organizations": 25,
      "roles": ["model builders", "scale enablers", "AI-native deployers"],
      "profile_url_pattern": "https://corelooppress.com/tools/say-versus-spend/frontier-ic25/profiles/{id}/",
      "evidence": "Source-linked organization profiles and selected model-level Epoch Capabilities Index observations",
      "boundary": "Editorial role map, not a top-25 performance rank or complete census"
    },
    "groups": [
      {
        "id": "about-you",
        "count": 3,
        "purpose": "Reader reflections on AI views, values and work"
      },
      {
        "id": "published-data",
        "count": 9,
        "purpose": "Inspect published evidence and source-linked concepts about occupations, business adoption, compute, electricity, company filings, frontier organizations, physical resources and model openness"
      }
    ],
    "domains": [
      "AI attitudes and values",
      "career exposure",
      "occupational research and labor statistics",
      "business AI adoption",
      "compute ownership",
      "data-center electricity demand",
      "SEC filing language and financial context",
      "frontier AI organizations and models",
      "data-center resources",
      "national electricity systems",
      "open versus closed AI model releases"
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    "formats": [
      "self-assessment",
      "choice-and-tally",
      "guess-and-reveal",
      "claim quiz",
      "filing explorer",
      "source-linked role map",
      "country comparison",
      "concept quiz"
    ],
    "html": "https://corelooppress.com/tools/",
    "markdown": "https://corelooppress.com/tools/index.md",
    "readingRule": "The first three reflect reader answers. Tools 04 to 11 use dated external evidence with source and scope labels. Tool 12 clarifies model-release terms with primary definitions and examples. Forecasts are labeled as projections."
  }
}