S3339 AI Workforce Projections, Research, and Evaluations to Promote AI Readiness and Employment Act 2025

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Proposed
• Most recent activity date: 2025-12-03

Risk subdomain coverage

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

• Increased inequality and decline in employment
• Economic and cultural devaluation of human effort
• Lack of capability or robustness

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal coverage of AI risk domains, with limited mentions primarily in socioeconomic areas. The document focuses on workforce data collection, forecasting, and labor market impacts rather than addressing AI safety risks, discrimination, privacy breaches, or malicious use. Coverage is concentrated in subdomain 6.2 (Increased inequality) with minimal mentions of 6.3 (Devaluation of human effort) and 7.3 (Lack of robustness).

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

• Public Administration (excl. National Security)

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

• Educational Services
• National Security

All other sectors had no coverage in this document.

Sectors Summary

This document does not govern specific economic sectors but rather establishes cross-sectoral workforce data collection, forecasting, and research mechanisms applicable to all sectors where AI may impact employment. The governance applies primarily to federal agencies responsible for labor statistics and workforce development, with data collection spanning all industries.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative bill from the United States Congress that, if enacted, would establish mandatory requirements with enforcement mechanisms. The document uses mandatory language throughout ('shall') and creates legal obligations for federal agencies, employers, and other entities.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: This is a Congressional bill proposed by the legislative branch of the United States government, as indicated by the standard legislative format and enactment clause.

Target

• Entity Types: AI_Governance_Actor, AI_Developer, AI_Deployer
• Summary: The document primarily targets federal agencies with data collection and forecasting obligations. It also targets employers who must disclose AI-related layoffs, and creates voluntary participation mechanisms for AI developers and deployers to share adoption data.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The Secretary of Labor is designated as the primary enforcement authority throughout the document, with specific responsibilities delegated to various federal agencies and bureaus for implementation, monitoring, and reporting.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: Multiple federal agencies are assigned monitoring responsibilities including data collection, forecasting evaluation, workshop convening, and reporting to Congress. The document establishes extensive reporting requirements and evaluation mechanisms.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document does not focus on specific AI lifecycle stages of development but rather on measuring and forecasting AI's impact on the workforce. It addresses the deployment and operational monitoring of AI systems indirectly through data collection on AI adoption and use. The primary focus is on understanding AI's effects after deployment rather than governing the development process itself.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

• AI Models
• AI Systems
• Generative AI
• Predictive AI

Technical Scope Summary

The document explicitly defines and covers 'artificial intelligence' by reference to the National Artificial Intelligence Initiative Act. It does not distinguish between different types of AI systems (frontier, general purpose, task-specific, foundation models, generative, or predictive AI). The document focuses on AI's functional capabilities to automate or augment work rather than technical classifications. No compute thresholds or open-weight model distinctions are mentioned.