Most AI discussions still focus on what agents can do.
I think the more interesting question is what starts breaking once they operate across real enterprise workflows at scale.
Not just generating outputs, but interacting with approvals, vendors, payments, reporting, compliance, and multiple internal systems simultaneously.
Infrastructure like W3 already operates around that coordination layer, which makes me think the operational side of AI may become much harder than the intelligence side itself.
Curious what people here think becomes the biggest bottleneck first.
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