美空軍導入 AI 搜索目標，加速「全域戰鏈」實驗 台灣面臨新威脅與雙向機會

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(Airman 1st Class Jennifer Nesbitt/Air Force)

美國空軍公開表示，已於 5 月在佛州進行首次使用 AI 自主搜尋並指定目標的戰術實驗，藉由 MQ-9 無人機與 AI 任務指令模組的結合，AI 不但能自行判斷空域內威脅目標，甚至能進行「人機協作」，快速提供打擊選項。

此次代號為「Scarlet Dragon Oasis」的測試，由空軍研究實驗室與多家業者合作進行，展示 AI 能透過視覺資料、自主學習技術辨識、定位與決策，並同步與地面作戰部隊共享資料。研究人員指出，未來 AI 能降低戰場指揮官的決策負擔，讓軍方更快速應對高節奏戰場變化。

儘管實驗目前仍以人類「最終決策」為前提，但美軍明示這是未來「認知主導戰爭」的重要演練，具備巨大發展潛力。

🔍 三大觀察重點 | Three Key Takeaways

1. AI 導入作戰指揮實測，美軍邁向認知戰爭時代
    AI 具備識別、定位與提供打擊選項的能力，未來將成為作戰決策關鍵節點。
2. 強調「人機協作」，減少指揮官負擔
    AI 並非完全取代人類，而是透過協作減少認知壓力，提升整體作戰效率與反應時間。
3. 對台灣意涵重大，AI 能強化非對稱戰力
    台灣可借鏡美方模式發展低成本 AI 戰術決策系統，強化無人機與地面部隊即時連動，在資源受限下提升應變與精準打擊能力。

In May 2025, the US Air Force conducted its first field test using artificial intelligence to autonomously identify potential combat targets. The test involved MQ-9 Reaper drones and an AI mission module that could detect, analyze, and propose strike options in real time.

Known as “Scarlet Dragon Oasis,” the test was a collaboration between the Air Force Research Laboratory and multiple defense firms. The AI was able to use visual data and machine learning to autonomously identify and geo-locate targets, sharing real-time information with ground forces.

While human operators retain final decision-making authority, officials noted that this marks a shift toward “cognitive warfare,” where AI will play a central role in accelerating battlefield decisions.

🔍 Three Key Takeaways

1. AI enables cognitive warfare decision-making
    AI’s autonomous targeting capabilities mark a major step toward cognitive-driven conflict.
2. Human-AI teaming enhances command efficiency
    The system supplements commanders by reducing decision-making burdens in fast-paced environments.
3. Strategic implications for Taiwan
    Taiwan can look to adopt AI-driven tactical systems to enhance asymmetric capabilities under limited resources.