Jeffrey Ding, "Technology and the Rise of Great Powers: How Diffusion Shapes Economic Competition" (Princeton UP, 2024)
Oct 5, 2024
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In this insightful discussion, Jeffrey Ding, an Assistant Professor of Political Science at Georgetown University, explores the intricate relationship between technological diffusion and the rise of great powers. He argues that success hinges not just on initial innovation but on how well states adapt and integrate new technologies. Ding draws parallels from historical industrial revolutions, emphasizing the importance of institutional support and skill formation. He also delves into the current U.S.-China competition in AI, highlighting the significance of talent and technology diffusion for maintaining economic supremacy.
The rise of great powers is more influenced by their ability to diffuse and adapt technologies rather than solely on initial innovations.
Current US-China competition in technology highlights the importance of infrastructure and adoption strategies for maintaining economic supremacy.
Deep dives
The Rise of Great Powers and Economic Growth
The concept of great powers' rise is closely tied to economic growth, specifically how emerging technologies can influence a nation’s ability to sustain high economic growth rates over time. The exploration of US-China competition in technologies like artificial intelligence serves as a framework for understanding this phenomenon. A critical observation is that historical patterns reveal the leading power in international relations often shifts when a nation successfully leverages general purpose technologies (GPTs) to enhance productivity across multiple sectors. This pivot towards technology-driven growth emphasizes the economic foundation necessary for geopolitical dominance.
General Purpose Technologies and Industrial Revolutions
General purpose technologies (GPTs) are fundamental advancements like electricity, the steam engine, and computers that significantly reshape economies and drive productivity. These technologies lead to industrial revolutions, which are characterized by accelerated technological changes that transform various sectors simultaneously. The focus is not merely on the initial innovation phase but on how these technologies diffuse throughout the economy, influencing a broad array of industries and leading to sustained economic growth. This shift in focus from innovation to diffusion is crucial in understanding how nations can gain and maintain economic supremacy.
Reevaluating US-China Competition in Emerging Technologies
The competition between the US and China in the realm of emerging technologies like AI has sparked discussions about potential power transitions. However, the underlying dynamics may not be as straightforward as simply comparing innovation rates; rather, they hinge on each country's ability to diffuse these technologies across their economies. The US seems better positioned due to its more robust infrastructure for training engineers and a wider diffusion strategy. This suggests that success in the technological race relies more on adoption and integration than merely pioneering new breakthroughs.
When scholars and policymakers consider how technological advances affect the rise and fall of great powers, they draw on theories that center the moment of innovation—the eureka moment that sparks astonishing technological feats. In Technology and the Rise of Great Powers: How Diffusion Shapes Economic Competition (Princeton UP, 2024), Jeffrey Ding offers a different explanation of how technological revolutions affect competition among great powers. Rather than focusing on which state first introduced major innovations, he investigates why some states were more successful than others at adapting and embracing new technologies at scale. Drawing on historical case studies of past industrial revolutions as well as statistical analysis, Ding develops a theory that emphasizes institutional adaptations oriented around diffusing technological advances throughout the entire economy.
Examining Britain’s rise to preeminence in the First Industrial Revolution, America and Germany’s overtaking of Britain in the Second Industrial Revolution, and Japan’s challenge to America’s technological dominance in the Third Industrial Revolution (also known as the “information revolution”), Ding illuminates the pathway by which these technological revolutions influenced the global distribution of power and explores the generalizability of his theory beyond the given set of great powers. His findings bear directly on current concerns about how emerging technologies such as AI could influence the US-China power balance.
Our guest today is: Jeffrey Ding, an Assistant Professor of Political Science at Georgetown University.