Mass Autonomy and the Next Grammar of Power - Craig's Substack
AI Analysis
The article discusses the strategic shift in military power dynamics as China focuses on AI-enabled drone swarms, contrasting with the U.S.'s reliance on traditional, expensive platforms. It highlights China's comprehensive approach to integrating AI across military operations, while the U.S. is slowly adapting to these changes.
Key Takeaways
- China is developing scalable drone swarms through AI-enabled autonomy.
- The U.S. remains focused on legacy naval platforms, risking strategic obsolescence.
- China's strategy involves whole-of-nation AI development and intelligentized military forces.
- The U.S. is beginning to adapt with initiatives like Replicator and autonomy directives.
- Strategic logistics now include compute and chip supply, akin to fuel logistics in the past.
Why It Matters
This shift in military strategy underscores the importance of AI and autonomy in future warfare, potentially redefining global power structures. The U.S. must accelerate its adaptation to maintain strategic parity with China, focusing on distributed operations and AI integration to counter China's advancements in drone swarm capabilities.
Mass Autonomy and the Next Grammar of Power
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Politics
Mass Autonomy and the Next Grammar of Power
Part II — China’s “intelligentized” trajectory vs. U.S. carrier-era doctrine, and the strategic implications of AI and drone swarms
Craig Wright
Apr 02, 2026
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Part II — China’s “intelligentized” trajectory vs. U.S. carrier-era doctrine, and the strategic implications of AI and drone swarms
Keywords: AI; autonomy; drone swarms; aircraft carriers; distributed operations; PLA strategy; U.S. Indo-Pacific doctrine; semiconductors; compute; logistics; command-and-control
Executive Summary
AI-enabled autonomy is rewriting great-power competition: China is organizing industry, doctrine, and C2 for cheap, scalable drone swarms, while the U.S.—still committed to scarce, expensive platforms—risks a transition shock analogous to Britain’s shift from coal to oil. This essay extends the Britain “coal→oil” framework into the AI era, arguing that the winning power will be the one whose whole system (industry, logistics, doctrine, and training) can operationalize autonomy at scale. Beijing’s official policies and military writings emphasize an “intelligentized” force and whole-of-nation AI development, whereas U.S. strategy is only belatedly adapting (Replicator, autonomy directives) around legacy naval platforms (China’s State Council, 2017; Department of Defense, 2025). Nine dimensions are examined: doctrine and force structure; industrial/manufacturing scale; compute and data access; software ecosystems; logistics/supply chains; command-and-control; cost-per-unit; countermeasures; and institutional adaptation. Primary and official sources (DoD strategy, China defense white papers, Congressional testimony) and major analyses (RAND, CSIS, CNAS, NDU) are used. Two tables compare U.S. vs China key metrics and map 19th-century naval variables to AI-era counterparts. Images are suggested to illustrate concepts and geography. Policy implications include treating compute and chip supply as strategic logistics, building U.S.–allied production networks for drones, and modernizing doctrine and defenses for swarm conflict.
The Britain coal→oil analogy and its relevance
Britain’s 19th-century dominance rested on a maritime system tuned to sail, coal, and steam (ports, coaling stations, shipbuilding, doctrine). Churchill’s 1913 remarks encapsulate the lesson: oil freed ships from coal but made them dependent on foreign fields and tankers—“safety and certainty in oil lie in variety” of sources and routes (Churchill, 1913). The U.S./China AI competition has a similar logic. In place of “fuel logistics” are compute and data logistics: how to field massive compute clusters, data pipelines, and software for autonomy. China’s leaders recognize this. PLA Strategic Support Force doctrine and national AI plans emphasize building an “intelligent” military using big data, cloud, and AI, and treating