Autonomous vs Semiautonomous AI Agents: Where Human Checkpoints Matter

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A DEV Community piece argues that whether an AI agent is autonomous or semiautonomous is a deliberate design choice, not a matter of raw capability. Both types follow the same plan-act-observe loop, but semiautonomous agents pause at gates before consequential actions like sending emails or processing refunds. The article warns that unchecked autonomy can turn early mistakes into irreversible damage, while approval checkpoints on trivial tasks can breed rubber-stamping. It cites a prediction that 40% of enterprises will demote or decommission autonomous agents by 2027 due to weak governance. The recommended approach is to automate low-risk decisions, log medium-risk ones, require approval for high-consequence actions, and expand trust incrementally based on evidence.

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