Artificial Intelligence
Capabilities, Dependencies, and the Conversion of AI into Strategic Power
By Nolan C. Harwood
How do AI systems become economic advantages, institutional capabilities, and geopolitical influence?
Artificial intelligence can produce impressive results. But a successful demonstration does not establish reliable performance in everyday operations. Access to advanced models does not guarantee productivity. Technological leadership does not automatically give a state influence over others.
Understanding these distinctions is essential to understanding AI and global power.
In Artificial Intelligence, Nolan C. Harwood examines the conditions under which technical performance becomes usable capability—and when that capability produces consequential strategic effects. The analysis connects computing resources, organizational implementation, economic value, provider dependencies, public administration, security, and international competition.
The central question runs throughout the book: What can an actor actually do with AI, what does that enable it to change, and what evidence connects the two?
How Computing Resources, Data, and Talent Enable AI Capability
AI capability depends on more than access to a powerful model. Computing infrastructure, suitable data, skilled personnel, capital, electricity, and operating continuity must work together.
The book explains how these resources enable particular tasks—and how a missing component can constrain the entire system. It examines the differences between developing models, adapting existing systems, and maintaining applications under changing conditions.
Readers gain a clearer understanding of AI infrastructure, compute access, and technological capability, including why nominal resources can differ substantially from what an organization can practically use.
Why AI Adoption Does Not Automatically Deliver Productivity
Introducing an AI application is only one step toward achieving useful results. Organizations must select appropriate tasks, connect systems to relevant information, redesign workflows, establish responsibility, and maintain performance.
The analysis examines AI productivity and economic value through accepted outcomes and total costs. Faster output can require additional checking. A successful experiment can encounter difficulties when extended across an organization. Gains in a particular task do not establish equivalent gains across an economy.
By following these transitions, the book helps readers assess what implementation has achieved, where benefits remain conditional, and why some promising applications fail to become sustained capabilities.
How AI Providers, Platforms, and Dependencies Shape Strategic Choices
Access to AI often involves relationships with model developers, cloud providers, software platforms, and distribution channels. These relationships raise questions about licensing, switching costs, reproducibility, service continuity, and credible alternatives.
The book examines when such dependencies can create exercisable leverage. A supplier’s importance alone does not demonstrate its ability to change a customer’s behavior. That assessment requires attention to actual access conditions, available substitutes, and the consequences of interruption.
This approach also clarifies AI sovereignty and strategic autonomy: effective capability can involve international partnerships, provided an actor can preserve essential functions and respond to changing conditions.
What AI Changes in Government, Security, and Information Operations
Public institutions face distinct challenges when using AI. Procurement, administrative integration, decision authority, rights, oversight, and accountability influence whether technical assistance improves public performance.
The security analysis examines intelligence support, military applications, cyber intrusion, espionage, sabotage, impersonation, synthetic disinformation, and attacks on AI systems.
Throughout these subjects, the book separates technical possibility, attempted action, observed results, and attributable consequences. Producing deceptive content does not establish that an audience encountered it, believed it, or changed its behavior. A security demonstration does not establish dependable operational performance.
These distinctions help readers evaluate both the opportunities and the risks of AI without treating every reported capability as a demonstrated strategic effect.
How AI Governance and National Strategies Affect Global Competition
Regulation, standards, evaluation, access restrictions, and enforcement can alter the conditions under which AI is developed and used. Their practical effects depend on implementation, institutional capacity, and the responses of affected actors.
The book connects these issues to national AI strategies and geopolitical competition. It examines domestic adoption, partnerships, functional capability profiles, and the circumstances in which AI changes another actor’s choices.
It also considers the durability of advantage. Efficiency improvements, substitution, diversification, recovery, and rival adaptation can change dependencies and weaken an earlier lead.
Who Will Benefit from This Analysis of AI and Geopolitical Power?
This book is suited to readers interested in artificial intelligence, geopolitics, economic transformation, public policy, technological dependency, and national security.
It offers a structured perspective for students, researchers, policy professionals, business decision-makers, and informed readers seeking to evaluate claims about AI leadership and strategic competition.
The volume can be read independently, without prior familiarity with the Global Power Archive.
The Book’s Distinctive Contribution: Testing Each Step toward Strategic Power
The book’s distinguishing contribution is its continuous examination of how AI performance becomes usable capability, how capability produces effects, and when those effects substantiate influence.
It brings these transitions into one analytical framework while preserving the differences between them. Successful implementation, partial results, failed adoption, resistance, and substitution all contribute to the assessment.
Drawing on academic research, official documents, institutional reports, and documented cases, the analysis identifies both what the evidence supports and where stronger conclusions remain unwarranted.
Digital Formats and Immediate Download
This book is a digital product available for immediate download after purchase.
Your purchase includes two versions:
Read on your smartphone, tablet, computer, or compatible e-reader.
Printed editions of the Global Power Archive series will be available on Amazon soon.
Understand the Conditions behind AI’s Strategic Significance
Claims about AI leadership are easier to make than to evaluate. Understanding their significance requires examining working systems, institutional responsibilities, dependencies, alternatives, and demonstrated outcomes.
Artificial Intelligence provides a framework for that assessment—helping you understand where AI creates meaningful advantages, what limits their conversion into power, and whether those advantages can endure.
