{
  "capabilityNamespaces": [
    {
      "definition": "An LJP-defined compound term for evaluating how readily an organization can reconfigure, reassign, substitute, or redeploy tasks, workflows, operating processes, and related resources as technology and operating conditions change.",
      "deploymentStatus": "active",
      "directAnswer": "Process Liquidity is an LJP-defined analytical frame for examining potential task and process reconfiguration. It distinguishes adaptability from cash or market liquidity, potential automation from actual adoption, technical feasibility from economic desirability, task reallocation from job elimination, and empirical evidence from policy recommendation.",
      "governingQuestion": "How can an organization evaluate the adaptability of tasks and operating processes without treating automation exposure as a guaranteed operational or social outcome?",
      "id": "https://processliquidity.com/#process-liquidity",
      "name": "Process Liquidity",
      "publicationStatus": "published",
      "relationshipContext": "Within the Industrial Policy for AI package, Process Liquidity provides a narrower vocabulary for organizational adaptability. It does not claim a peer relationship that is not present in Phase 1, and it does not make adaptability an automatic consequence of automation or a justification for worker displacement.",
      "role": "capability-namespace",
      "semanticRecord": "https://digitaleasements.com/ontology/v1/concept/process-liquidity",
      "url": "https://processliquidity.com/",
      "whyItMatters": "Organizations may face changing technologies, demand, skills, constraints, and operating conditions. A bounded vocabulary helps them examine adaptability without assuming that automation necessarily improves productivity, employment, resilience, worker outcomes, or public welfare."
    }
  ],
  "credibilityBoundary": "Implementation-neutral public orientation; no certification, endorsement, regulatory determination, or performance guarantee.",
  "editorialModel": "2.2",
  "lastModified": "2026-09-05",
  "manifestType": "ljp.public-package-namespace",
  "manifestVersion": "1.0",
  "package": {
    "authorityContext": "The OECD Recommendation on Artificial Intelligence supplies direct institutional authority for trustworthy AI principles and national-policy considerations. OECD compute work and European Commission materials provide supporting context for infrastructure, investment, skills, adoption, resilience, and measurement. None defines the LJP package or endorses LJP.",
    "authorityReferences": [
      {
        "applies_to": "industrialpolicy.ai",
        "document_id": "OECD/LEGAL/0449",
        "evidence_role": "primary_authority",
        "id": "oecd-ai-recommendation",
        "organization": "Organisation for Economic Co-operation and Development",
        "public_authorized": true,
        "publication_context": "Official OECD legal instrument adopted May 22, 2019",
        "relevance": "Supports trustworthy AI, inclusive growth, enabling ecosystems, human capacity, labour-market transition, and evidence-based measurement.",
        "scope_note": "Does not define Industrial Policy for AI, AI Policy Economy, or Process Liquidity and does not endorse LJP.",
        "title": "Recommendation of the Council on Artificial Intelligence",
        "url": "https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0449"
      },
      {
        "applies_to": "industrialpolicy.ai",
        "document_id": "OECD Digital Economy Papers No. 350; DSTI/CDEP/AIGO(2022)2/FINAL",
        "evidence_role": "supporting_source",
        "id": "oecd-national-compute-capacity",
        "organization": "Organisation for Economic Co-operation and Development",
        "public_authorized": true,
        "publication_context": "Official OECD policy paper dated June 12, 2023",
        "relevance": "Supports national AI compute capacity, infrastructure access, skills, policy planning, resilience, sovereignty, and measurement context.",
        "scope_note": "Addresses national compute capacity and does not define the complete LJP package architecture.",
        "title": "A Blueprint for Building National Compute Capacity for Artificial Intelligence",
        "url": "https://one.oecd.org/document/DSTI/CDEP/AIGO(2022)2/FINAL/en/pdf"
      },
      {
        "applies_to": "industrialpolicy.ai",
        "document_id": "Shaping Europe’s digital future fact page",
        "evidence_role": "supporting_source",
        "id": "ec-ai-continent-action-plan",
        "organization": "European Commission",
        "public_authorized": true,
        "publication_context": "Official European Commission policy page updated May 7, 2025",
        "relevance": "Provides EU policy context for computing infrastructure, investment, data, skills, adoption, sovereignty, security, and implementation support.",
        "scope_note": "Describes EU policy; it does not define industrial policy generally, make the AI Act synonymous with industrial policy, or endorse LJP.",
        "title": "AI Continent Action Plan",
        "url": "https://digital-strategy.ec.europa.eu/en/factpages/ai-continent-action-plan"
      }
    ],
    "definition": "A viewpoint-neutral organizing frame for public-policy questions affecting the productive capacity, infrastructure, investment, skills, diffusion, competition, resilience, and institutional conditions associated with AI development and adoption.",
    "deploymentStatus": "active",
    "domainContext": "AI-related productive capacity depends on more than model development. Infrastructure, access, investment, skills, diffusion, competition, resilience, measurement, and governance create separate questions that institutions can evaluate without assuming a preferred political or fiscal outcome.",
    "id": "https://industrialpolicy.ai/#industrial-policy-for-ai",
    "name": "Industrial Policy for AI",
    "namespaceName": "Industrial Policy for AI",
    "publicationStatus": "published",
    "relationshipContext": "Industrial Policy for AI organizes the broader public-policy environment around productive capacity and economic transition. Process Liquidity isolates a narrower organizational question about how tasks and operating processes may be reconfigured as technology and operating conditions change. The relationship is analytical, not hierarchical, causal, or prescriptive.",
    "role": "canonical-package-namespace",
    "semanticRecord": "https://digitaleasements.com/ontology/v1/concept/industrial-policy-for-ai",
    "url": "https://industrialpolicy.ai/",
    "whyItMatters": "Policy analysis becomes harder to audit when infrastructure, investment, adoption, regulation, labour transition, and economic outcomes are collapsed into one label or when technical feasibility is treated as proof of public benefit."
  },
  "principle": "Publish the map, not the machine.",
  "publicResources": {
    "buyerWalkthrough": "https://industrialpolicy.ai/storyboard",
    "llms": "https://industrialpolicy.ai/llms.txt",
    "namespaceManifest": "https://industrialpolicy.ai/namespace.json",
    "ontology": "https://industrialpolicy.ai/ontology.jsonld",
    "overview": "https://industrialpolicy.ai/",
    "robots": "https://industrialpolicy.ai/robots.txt",
    "sitemap": "https://industrialpolicy.ai/sitemap.xml"
  },
  "publisher": {
    "contact": "support@ljpassetgroup.com",
    "id": "https://ljpassetgroup.com/#org",
    "name": "LJP Asset Group LLC",
    "url": "https://ljpassetgroup.com/"
  },
  "supportingNamespaces": [],
  "version": "2.2.2"
}