How AI Is Transforming Warfare and the US Military with Katrina Manson

Why It Matters

AI‑driven targeting accelerates U.S. military effectiveness while raising unprecedented ethical and operational risks, compelling both the Pentagon and its contractors to redefine warfare and accountability.

Key Takeaways

• Project Maven introduced AI-driven computer vision to analyze drone footage
• Pentagon now labels itself “AI‑first,” investing billions in autonomous systems
• Private firms like Palantir and Anduril supply AI platforms for targeting
• Autonomous “Whiplash” jet‑ski weapons are being deployed for Taiwan defense
• AI errors at scale risk lethal mistakes, prompting human‑in‑the‑loop debates

Summary

The GZERO World podcast with Bloomberg’s Katrina Manson examines how artificial intelligence has reshaped the United States’ war‑fighting apparatus, focusing on the Pentagon’s flagship Project Maven and its evolution from a modest computer‑vision experiment to an “AI‑first” doctrine.

Maven began in 2017 as a public‑private partnership to automate the analysis of drone video, a task previously handled by a handful of analysts. Within a few years the program broadened to fuse sensor data, prioritize targets and feed autonomous weapon systems, backed by billions of dollars and a push from senior defense officials to embed AI at the core of combat operations.

Manson recounts colonel Drew Cukor’s ambition to build a “Google Earth for war,” the early involvement of Google Cloud, the later hand‑off to Palantir’s Target Workbench, and the emergence of experimental platforms such as the Whiplash armed jet‑ski and voice‑controlled drone swarms—some of which have already seen limited fielding in Ukraine and Taiwan‑contingency plans.

The rapid rollout promises faster, data‑driven decision‑making but also amplifies the danger of algorithmic errors at lethal scale, forcing policymakers to balance autonomy with human oversight and reshaping the defense‑industry supply chain toward software‑centric contracts.

Original Description

Ian Bremmer's guest this week is author and Bloomberg defense tech reporter Katrina Manson, who spent years reporting on Project Maven for her new book on the Pentagon's AI push.

The program launched in 2017 with a narrow mandate: use machine learning to process drone footage. It has since expanded into something far more ambitious. Autonomous weapons, drone swarming technology, and AI-assisted targeting are now central to how the Pentagon talks about modern warfare.

The tech rollout is fast, but not reliable. Algorithms fail when the battlefield changes. The targeting process is accelerating to the point where operators are clicking through AI recommendations with little ability to question them. Manson says the military knows about AI's vulnerability "to sycophancy, to escalation, to bias and hallucination," and has not yet found adequate solutions. 

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