Completely agree — the shift from "AI as a tool" to "AI agents as autonomous workers" is the biggest paradigm change happening right now. What I'm seeing in practice is that agents are most powerful when they're composed into pipelines rather than used as standalone bots. A single agent answering questions is limited. But chain together an agent that monitors data, one that decides actions, and one that executes them — suddenly you have a system that replaces entire manual workflows. The frameworks are maturing fast too (MCP protocol, Claude tool use, n8n agent nodes). The bottleneck is shifting from "can we build it?" to "can we trust it enough to run unsupervised?"