Signals

Mission owners coordinate humans and AI agents, but when your agent makes the wrong autonomous decision, who bears legal liability? Before redesigning workflows, build the accountability architecture underneath.

AI agents promise to be indispensable by remembering everything about you. But if those memories can't transfer between platforms, you're locked in. Control over memory is control over identity—and companies are writing the rules

Liquid AI's new device-based models create different licensing rules for startups versus enterprises, potentially changing how teams approach AI procurement and data residency decisions.

This approach turns AI from a code generator into a more reliable development partner—one that builds what you actually need.

Consumer industries lead 119% surge in AI agents as retail, travel see 128-133% monthly growth in automation—changing competitive landscape for product teams

Over 90% of travelers trust AI-generated travel information, but almost none want the AI to act on that information independently.

Non-human identities outnumber humans 80:1 in many orgs, but most teams lack visibility into AI agents' permissions, ownership, or lifecycle management—creating major governance gaps.

The research shows we're moving from AI-as-tool to AI-as-colleague, which means rethinking how we structure accountability and human oversight.