The Department of War's top AI priority is "applied AI." It consciously avoids building its own foundation models, recognizing it cannot compete with private sector investment. Instead, its strategy is to adapt commercial AI for specific defense use cases.
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The critical national security risk for the U.S. isn't failing to invent frontier AI, but failing to integrate it. Like the French who invented the tank but lost to Germany's superior "Blitzkrieg" doctrine, the U.S. could lose its lead through slow operational adoption by its military and intelligence agencies.
Claims by AI companies that their tech won't be used for direct harm are unenforceable in military contracts. Militaries and nation-states do not follow commercial terms of service; the procurement process gives the government complete control over how technology is ultimately deployed.
Unlike nuclear energy or the space race where government was the primary funder, AI development is almost exclusively led by the private sector. This creates a novel challenge for national security agencies trying to adopt and integrate the technology.
Instead of competing to build sovereign AI stacks from the chip up, India's strategic edge is in applying commoditized AI models to its unique, population-scale problems. This leverages the country's deep experience with real-world, large-scale implementation.
Leading AI companies, facing high operational costs and a lack of profitability, are turning to lucrative government and military contracts. This provides a stable revenue stream and de-risks their portfolios with government subsidies, despite previous ethical stances against military use.
The military lacks the "creative destruction" of the private sector and is constrained by rigid institutional boundaries. Real technological change, like AI adoption, can only happen when intense civilian leaders pair with open-minded military counterparts to form a powerful coalition for change.
Indian startups are carving a competitive niche by focusing on the AI application layer. Instead of building foundational models, their strength lies in developing and deploying practical AI solutions that solve real-world problems, which is where they can effectively compete on a global scale.
Tech companies often use government and military contracts as a proving ground to refine complex technologies. This gives military personnel early access to tools, like Palantir a decade ago, long before they become mainstream in the corporate world.
The "agentic revolution" will be powered by small, specialized models. Businesses and public sector agencies don't need a cloud-based AI that can do 1,000 tasks; they need an on-premise model fine-tuned for 10-20 specific use cases, driven by cost, privacy, and control requirements.
The Department of Defense (DoD) doesn't need a "wake-up call" about AI's importance; it needs to "get out of bed." The critical failure is not a lack of awareness but deep-seated institutional inertia that prevents the urgent action and implementation required to build capability.