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The political push to replace modern electromagnetic catapults with older steam technology is based on reliability issues from 10 years ago. The system has since proven itself over thousands of launches, making the proposed redesign a costly, schedule-destroying solution to a problem that no longer exists.
Congressional appropriators hate program changes or cancellations because it forces them to admit to their constituents that a previously funded project failed. This political pressure creates powerful inertia, forcing the military to continue with suboptimal programs and preventing agile shifts in resource allocation.
Presidential interest in a "bigger" ship, not naval strategy, spawned the concept for a massive, $14 billion battleship. This political project forces the Navy into a budgetary dilemma, potentially sacrificing next-generation aircraft for a single, expensive surface combatant that may not meet its actual strategic needs.
A critical challenge for the military is maintaining aging equipment when original suppliers no longer exist. Advanced, flexible factories can reverse-engineer and produce these 'obsolete parts' on demand, solving a critical maintenance bottleneck for in-service submarines and other legacy systems.
The nearly trillion-dollar US defense budget is misleading. The vast majority is locked into fixed costs like salaries, facilities, and sustaining legacy systems. The actual procurement budget for new technology is at a historic low as a percentage of GDP, constraining modernization.
A singular, massive cash infusion into the defense budget encourages buying more of today's systems, filling order books for weapons with built-in obsolescence. This approach creates a short-term 'sugar high' but fails to fund the adaptive industrial infrastructure needed for future conflicts, ultimately leading to a less capable force.
Frank Kendall was shocked to find that major decisions on new military programs were often made "by the seat of our pants" based on a four-star general's preference. This lack of rigorous, data-driven operational analysis leads to suboptimal investments and wasted billions, a problem he tried to fix by elevating the analysis organization.
The military is applying powerful AI software for intelligence and targeting, but the physical hardware—planes, missiles, and interceptors—was not designed for this new reality. This mismatch creates inefficiencies, such as using expensive Patriot missiles designed for jets to shoot down cheap drones, highlighting a hardware-software gap.
Debates over military budgets are often implicitly debates about the discount rate of combat power. In an era of rapid AI-driven change, power delivered in 10 years is heavily discounted. This framework favors immediate software and autonomy investments over long-term hardware programs.
Massively stockpiling a specific weapon system is a dangerous strategy. As the French army's premier artillery proved useless in 1940, and modern GPS-guided shells are now vulnerable to jamming, anchoring a defense on systems that can be rendered obsolete overnight is a critical strategic error.
The defense procurement system was built when technology platforms lasted for decades, prioritizing getting it perfect over getting it fast. This risk-averse model is now a liability in an era of rapid innovation, as it stifles the experimentation and failure necessary for speed.