CALL FOR BOOK CHAPTERS 2026 - Agentic Gen AI for US Competitiveness and National Interest

Agentic Generative AI for U.S. Competitiveness and National Interest
Edited Volume by: Satyadhar Joshi
(AVP BoFA USA, MS, MBA, FRM — New Jersey, USA)
About the Book
The United States is entering an era where Agentic AI—AI systems capable of autonomous planning, tool use, self‑refinement, and multi‑step decision execution—will determine the nation’s competitive position across defense, health, finance, infrastructure, workforce productivity, and regulatory capability.
This edited volume explores how Agentic GenAI can strengthen U.S. competitiveness, national security, and the national interest, with a focus on cross‑sector applications, governance models, and federal regulatory engagement.
This Call for Chapters invites experts, researchers, practitioners, federal stakeholders, and policy designers to contribute original research, frameworks, case studies, regulatory analyses, and forward‑looking insights.
Motivation
Federal agencies have already begun confronting AI modernization across rulemaking, workforce transformation, health, cybersecurity, and public administration. Contributors may draw inspiration from topics raised in U.S. regulatory dockets, including:
CMS, OPM, HHS‑ONC, OCC, ED, VA, CDC, NRC, FSIS, DARS and other federal AI‑governance initiatives (as referenced in your list of posted federal comments).
Uses of generative AI to reduce administrative burden, improve PRA compliance, enhance public service delivery, and strengthen interagency oversight capabilities.
AI‑based specialization tagging, classification enhancement, and structured analytics for large‑scale federal data collection.
(These references are based on your posted materials in the Impactio profile URL you provided; external URLs cannot be verified here.)
THEMES & TOPIC AREAS (Suggested)
We welcome chapter proposals on (but not limited to) the following:
1. U.S. National Competitiveness & Industrial Strategy
Agentic AI as a driver of economic productivity
Strategic sectors: semiconductor supply chains, defense systems, healthcare, infrastructure
Competitive analysis of U.S. vs China/EU in autonomous AI capability development
2. Agentic AI for Federal Governance and Regulatory Systems
AI systems for regulatory impact analysis, compliance automation, PRA modernization
AI‑enhanced rulemaking: classification, tagging, summarization, risk detection
AI for oversight agencies: OCC, CMS, VA, NRC, OPM, ED, FSIS, CDC, HHS‑ONC
AI use in FOIA workflows, fraud detection, and government transparency
3. National Security & Defense Applications
Autonomous planning systems for defense logistics
AI in ISR, threat detection, cyber defense, and tactical decision systems
Joint U.S.–NATO posture: AI for alliance integration and interoperability
4. Artificial Intelligence & Workforce Modernization
Agentic AI for upskilling the U.S. labor force
AI augmentation of federal workforce and national service programs
Effects of AI on high‑skilled immigration, STEM competitiveness
5. Financial Systems, Banking, and Infrastructure
Agentic AI for risk modeling, liquidity, stress testing, fraud detection
Supervisory AI for the Federal Reserve, OCC, CFPB, FDIC
AI in critical infrastructure resilience (energy, utilities, transportation)
6. Healthcare, Public Health, and Biomedical Innovation
AI in precision medicine, clinical decision systems
Public health surveillance using multi‑agent AI models
AI governance for HHS, ONC, NIH initiatives
7. Ethical, Legal, and Public‑Interest Considerations
AI safety, alignment, and trust frameworks
Constitutional, civil liberties, and PRA‑aligned considerations
AI for democratic participation and civic infrastructure
8. Multi-Agent AI Systems and Emerging Architectures
Autonomous tool-use agents, planning agents, self-reflective models
AI orchestration for large institutions and inter-agency coordination
Next-generation “AI ecosystems” for national priority domains
Submission Guidelines
Proposal (1–2 pages):
Chapter title
Author(s) + affiliation(s)
Abstract (300–500 words)
Contribution to U.S. competitiveness or national interest
Methodology / data sources (if applicable)
Full Chapter Requirements:
Length: 5,000 – 8,000 words
Style: APA or Chicago
Original, unpublished work
Use of case studies, regulatory analysis, technical methods, or policy frameworks encouraged