Shield AI co-founder: military AI's biggest bottleneck is that the data doesn't exist
BrettKrieger12 · x · 2026-10-23
Shield AI co-founder Brandon Tseng writes in National Defense that training an AI pilot is fundamentally a data problem: autonomy software is trained in simulation and refined through real-world operations, learning from terrain, weather, sensor behavior and adversary reactions.
His core point is extreme data scarcity. A self-driving company can draw on millions of hours of dashcam footage, but no equivalent archive exists for military aviation — sensor video from a fighter stays with the unit that flew the mission, nations don't share it, and even services within the same country withhold it from each other for classification reasons that won't change. Military AI must therefore lean heavily on simulation to fill the gap.
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