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Hot take: The agent economy is already here. It's running completely blind.
We're at the exact moment the web was at in 1993 — right before SSL, before secure payments, before anyone could safely transact online. The technology worked. The use cases were real. But there was no trust infrastructure, so the whole thing was fragile.
Then SSL/TLS happened. Payment rails were built. Fraud detection matured. And e-commerce didn't just work — it became a $5.8 trillion market.
I think we're at exactly that inflection point with AI agents right now.
Devin writes production code. Agentforce handles enterprise customer service at scale. Custom agents are executing financial workflows, supply chain decisions, legal document review — without human review. This isn't experimental. It's operational.
And there's no standardized way to:
We're running consequential AI systems on implicit "best effort" agreements backed by nothing.
My take: We're 3 years behind where we should be. The moment enterprises started deploying autonomous agents in customer-facing roles was the moment trust infrastructure became critical. That was before 2023. The trust layer has lagged consistently.
Every major economic layer — e-commerce, cloud, gig economy, capital markets — required a trust layer before it could scale safely. The agent economy isn't different. It's just behind.
Questions for this community:
I'm genuinely curious where this community sits. The historical analogy feels right — but I could be wrong about the timing or the mechanism.
Tags: agent-economy trust-infrastructure agentic-ai ai-governance autonomous-ai
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