Pentagon creates Algorithmic Warfare Cross Functional Team for integration of big data and AI across the military, starting with analysis of video from drones
Marcus Weisgerber / Defense One :
Context & Ripple Effects
This is the origin point of the Pentagon's AI buildout: in 2017 the Department of Defense stood up the Algorithmic Warfare Cross Functional Team, a small unit meant to pull big data and machine learning into military workflows, with drone video analysis as its first concrete mission rather than a broad research agenda.
Seen against later coverage, the team reads as the seed of an institutional arc — the Joint AI Center that followed gave the effort a permanent home, and by the mid-2020s the mission had grown into classified-network deployments of commercial models and embedded engineers at the unit level. What started as one team parsing surveillance footage became a standing procurement relationship between the Pentagon and the commercial AI industry.
First-order effects
- Drone footage analysis becomes the military's first operational AI workload, giving the new team a bounded, measurable problem instead of an open-ended modernization mandate.
- The Pentagon gains a dedicated integration cell inside DoD, meaning AI adoption no longer depends on individual service programs or ad hoc experiments.
Second-order effects
- A procurement channel opens for commercial vendors: the pattern runs from early battlefield AI like the Army's $98.9M TurbineOne contract to the DOD's later deals with AWS, Microsoft, Nvidia, Oracle, and Reflection AI on classified networks — vendors now compete for military AI work as a distinct market.
- The talent contest intensifies: once AI integration is institutionalized, the DOD must recruit frontier-AI and data-systems engineers directly and embed them down to the unit level, competing with the same companies it buys from.
Third-order effects
- If the pattern holds, military AI stops being a project and becomes permanent infrastructure — a standing pipeline from cross-functional team to Joint AI Center to enterprise-scale deployment, with each expansion (analysis, then autonomy networks, then AI tools with hacking capabilities) widening the mission beyond what the original team was chartered to do.
- The structure points toward state-aligned AI industrial policy: defense demand shaping which labs and cloud providers matter, and dual-use governance questions moving from academic debate into operational military doctrine.
The trend: Military AI has evolved from a single drone-video analytics team into a durable state-industry pipeline, with the Pentagon progressively embedding commercial frontier models deeper into operations.