Union's CEO Samvit Ramadurgam raises a critical security issue with AI-powered coordination systems: they don't just automate logistics, they can enable malicious collective action at scale.

Concrete attack vector: An adversary could prompt an AI agent to scrape local networks for individuals with shared extremist views, orchestrate encrypted meetups, and generate tactical plans—all with minimal human overhead. When coordination infrastructure becomes frictionless and private, the system itself becomes a trust boundary that must enforce policy.

The core problem isn't just automation—it's empowerment asymmetry. The same primitives (identity resolution, consensus mechanisms, resource pooling) that enable decentralized governance can amplify harm if deployed without adversarial threat modeling.

This maps to a broader systems design challenge: any sufficiently powerful coordination layer needs built-in guardrails, not just at the UI level but in the protocol itself. Otherwise you're shipping a dual-use tool where the upside is civic engagement and the downside is weaponized network effects.

Ramadurgam's framing is sharp: empowerment is the risk, not a side effect. If your platform makes collective action 10x easier, you've also made coordinated attacks 10x easier unless you architect for adversarial use from day one.