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China's agentic AI already pays at scale. The hard part is authority: who lets an AI agent spend, and who answers when it's wrong. One market solved it via escrow rails.

Agent swarms and sub-agents fail when they carry everything: every responsibility on the split, every bit of context loaded at once. The fix is structure, not a smarter model.

Creator-vetting tools track what's moving, which category is hot, and how many followers a creator has. What they leave out is which creator converts sales for a specific shop.

Europe's AI Act leans on human oversight that cannot scale to its adoption goals. The missing mechanism is how trust gets built in, industry by industry.

"Good enough" AI models made the whole industry affordable in 2026. That victory didn't make it manageable, because the model was never the expensive part.

China is building new power and water for AI. The US is answering with software and a new engineer. The advantage isn't the model. It's what surrounds it.

Capability and authority are separate design decisions. A framework for what an agent is authorized to decide, drawn from Meta, Claude Mythos, and Workday.

The Seven Dimensions of Enterprise AI names the seven decisions behind an AI product that works in production, and model selection is the smallest of them.