The attraction of approach is this book's reframing of AI geopolitical competition through Nye's soft power framework. Where conventional analysis asks which nation has the most powerful AI, Nye's framework asks whose approach to AI the world most wants to emulate. The two questions yield different answers, and the second proves more consequential because the advantage of having the most powerful system is temporary while the advantage of having the most attractive approach is structural. The competition is between embedded value systems — commercial individualism, state surveillance, normative regulation — each attracting distinct constituencies and each testing whether its approach proves worthy of the attraction it commands.
Each major AI power projects influence through a distinct approach with embedded values. The American ecosystem, chaotic and commercially driven, generates soft power among individuals — developers, entrepreneurs, creators — who experience AI tools as instruments of personal empowerment. The tools embody values that emerged from the American technology ecosystem: entrepreneurial individualism, venture-capital risk tolerance, the conviction that barriers between imagination and artifact should be as low as possible. When the tools work, the values propagate through demonstrated benefit rather than propaganda.
The Chinese approach generates a different kind of influence through different channels. Surveillance infrastructure deployed across dozens of countries projects what Brookings scholar Elaine Kamarck has called malevolent soft power — influence that offers not attraction to citizens but a demonstration to governments that AI can be used to maintain political control. The appeal is not to users but to governing elites who share the fear of disorder. This is a form of international influence operating through fundamentally different mechanisms than citizen-facing soft power and producing fundamentally different outcomes.
The European Union has attempted a third approach: projecting the soft power of normative leadership through regulation. The AI Act, GDPR, and Digital Markets Act articulate a model of AI governance emphasizing transparency, accountability, and citizen protection. This is genuine soft power, particularly appealing to nations that distrust both American commercial chaos and Chinese state surveillance. But normative leadership without technological capability is an incomplete strategy. The EU regulates AI models developed by American and Chinese companies, giving it influence over deployment but not over development. The most powerful demonstration of values is not the regulation that constrains a technology but the technology that embodies values — the tool that works beautifully and demonstrates through its design that innovation and responsibility are compatible.
Nye's framework suggests citizen-facing soft power proves more durable than elite-facing influence. Soft power depends on legitimacy, and legitimacy depends on the perception that power serves those affected by it. A tool that empowers its users generates legitimacy with every use. A surveillance system that monitors its subjects generates compliance, not legitimacy — and compliance without legitimacy is inherently unstable. But the American approach is not unproblematic: the commercial incentives driving development produce their own pathologies — auto-exploitation, productive addiction, the attention economy's degradation of cognitive autonomy — and these are soft power vulnerabilities that erode attraction from within.
The concept emerges from applying Nye's insistence that soft power depends on the relationship between projector and receiver — a relationship dependent on context, credibility, and the perception of good faith — to the specific tools and values embedded in different national AI ecosystems. It extends Kamarck's 2018 Brookings analysis of malevolent soft power to the AI domain.
Approach over capability. The soft-power competition is between approaches to AI rather than between levels of AI capability; the most attractive approach wins durable influence regardless of which nation has the most compute.
Tool as argument. Values embedded in AI tools propagate through demonstrated benefit; the tool that works for users projects soft power more effectively than any cultural diplomacy program.
Citizen versus elite attraction. Citizen-facing soft power (American individual empowerment model) and elite-facing influence (Chinese surveillance model) operate through different mechanisms and produce different durability profiles.
Regulation without production. Normative leadership through regulation (European model) is genuine soft power but limited by the absence of domestic frontier AI development.
Self-undermining pathologies. Each approach contains vulnerabilities that can reverse the attraction it generates; the approach must continuously prove worthy of emulation or lose the soft power it projects.
Analysts disagree on whether the American approach's commercial pathologies — burnout, attention economy effects, platform monopolies — are accidental features correctable through regulation or structural consequences of the model itself. Defenders of the European approach argue that regulatory leadership will eventually prove decisive as AI matures; critics argue it reflects a failure to build comparable capability. The debate over the Chinese approach hinges on whether authoritarian soft power is a stable form of international influence or a brittle arrangement that collapses when it encounters populations with alternatives.