# Industrial Policy for AI

Canonical URL: https://industrialpolicy.ai/
Publication status: published
Deployment status: active
Version: 2.2.2
Last modified: 2026-09-05
Managed by: LJP Asset Group LLC
Publisher: https://ljpassetgroup.com/
Contact: support@ljpassetgroup.com

## 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.

## Domain context

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.

## Why it matters

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.

## Capability relationships

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.

## Standards and authority context

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.
- Recommendation of the Council on Artificial Intelligence — Organisation for Economic Co-operation and Development, OECD/LEGAL/0449: https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0449
- A Blueprint for Building National Compute Capacity for Artificial Intelligence — Organisation for Economic Co-operation and Development, OECD Digital Economy Papers No. 350; DSTI/CDEP/AIGO(2022)2/FINAL: https://one.oecd.org/document/DSTI/CDEP/AIGO(2022)2/FINAL/en/pdf
- AI Continent Action Plan — European Commission, Shaping Europe’s digital future fact page: https://digital-strategy.ec.europa.eu/en/factpages/ai-continent-action-plan

## Capability Namespaces

- Process Liquidity (processliquidity.com): 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.

## Supporting Namespaces


## Credibility boundary

This site provides public definitions, relationships, source context, and an evaluation structure. It does not provide legal, tax, economic, labour, investment, accounting, or public-policy advice and does not prescribe legislation, regulation, subsidies, taxation, labour policy, or government expenditure. Buyers and institutions retain authority over analysis, policy design, implementation, and legal interpretation. Publication does not establish consensus, adoption, effectiveness, or institutional recognition of LJP-defined terms. LJP is not affiliated with or endorsed by the OECD, European Commission, Federal Reserve Board, ILO, or any other cited institution.

## Resources

- Namespace manifest: https://industrialpolicy.ai/namespace.json
- Public ontology: https://industrialpolicy.ai/ontology.jsonld
- Sitemap: https://industrialpolicy.ai/sitemap.xml