The model of open-source intelligence that defined the discipline for the past two decades is ending. The analyst-initiates-query model — where a human formulates a research question, searches available sources, and synthesizes findings — is being replaced by an architecture in which AI agents operate continuously, monitor streams of structured and unstructured data across global media, satellite imagery, financial flows, and cyber indicators, and surface findings to analysts only when anomalies meet predefined significance thresholds. The shift is from reactive to orchestrated. The analyst no longer initiates the search. The system alerts the analyst when something warrants attention.

On April 27, the U.S. Army awarded Mistral Inc. a $20 million firm-fixed-price contract to deliver THOR Group 2 uncrewed aircraft systems and mission payloads to the Army’s Small Uncrewed Aircraft Systems Product Office. The contract, issued by Army Contracting Command at Redstone Arsenal, Alabama, carries a completion date of March 2027. THOR is developed by FUSE — formerly known as Flying Production — a subsidiary of Elbit Systems C4I & Cyber. Avandra LLC, Elbit’s U.S.-based subsidiary, will provide local training, field support, and technical sustainment alongside the delivery.

Meow Technologies is introducing banking services designed for AI agents. The announcement is easy to dismiss as a novelty. It should not be.

The premise is simple: AI agents that execute tasks autonomously will, in an increasing number of workflows, need to transact. Paying for API calls, purchasing data, settling micro-transactions, managing operational budgets — these are functions that autonomous systems need if they are to operate without constant human intervention at the payment layer. Meow is building the financial infrastructure for that pattern.

Military innovation rarely arrives as a single breakthrough. It tends to emerge as a convergence—of computation, doctrine, and necessity—until suddenly the battlefield looks fundamentally different. Autonomous drone swarms represent exactly that kind of shift. They are not merely an evolution of unmanned systems, but a redefinition of how force is applied, coordinated, and scaled.

Traditional drone warfare, as it developed over the past two decades, has largely been characterized by centralized control. Whether remotely piloted or semi-autonomous, drones have functioned as extensions of human operators—tools of precision, persistence, and surveillance. But this model carries inherent constraints: bandwidth limitations, operator fatigue, latency, and vulnerability to disruption. The introduction of swarm autonomy begins to dissolve those constraints.