Architecture

[Duplicate] Most Agentic AI Automates Systems, Not People- Limited Body Text

Human-facing agents matter. They raise real questions around safety, governance, and trust. The issue is not their importance, but the assumption that they represent the default or most meaningful form of agentic AI. That assumption skews how teams think about priorities, risks, and opportunities.

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Published January 3, 2026

Distributed SystemsAutomationHealthcareMLOps

Rethinking Agentic AI: Why the Biggest Impact Is in Systems, Not Conversations

Most discussions of agentic AI still start with human-facing assistants. These are the conversational systems that schedule meetings, answer support tickets, or present themselves as digital coworkers. Large language models made this category visible very quickly, so the focus is understandable.

It is also incomplete.

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