---
title: "Comment by Ahmet Özel on \"AI Automation Cost: Why $0.12 Per Run Can Become $12,000 at Scale\" | Hashnode"
description: "The Run All example needs a budget rule for work already admitted, not only a running total of completed charges. With many concurrent prospects, every worker c"
url: "https://hashnode.com/posts/ai-automation-cost-why-0-12-per-run-can-become-12-000-at-scale/6aed7eaedea64007f9868db8/comment/6aed94d8d889f2b52f41d8d6"
---

[Discussion](https://hashnode.com/posts/ai-automation-cost-why-0-12-per-run-can-become-12-000-at-scale/6aed7eaedea64007f9868db8)

Comment [AI Automation Cost: Why $0.12 Per Run Can Become $12,000 at Scale](https://hashnode.com/posts/ai-automation-cost-why-0-12-per-run-can-become-12-000-at-scale/6aed7eaedea64007f9868db8)

[Ahmet Özel](https://hashnode.com/@ahmetozel)

[5d ago](https://hashnode.com/posts/ai-automation-cost-why-0-12-per-run-can-become-12-000-at-scale/6aed7eaedea64007f9868db8/comment/6aed94d8d889f2b52f41d8d6)

The Run All example needs a budget rule for work already admitted, not only a running total of completed charges. With many concurrent prospects, every worker can observe remaining budget and launch its six paid searches before the reported spend catches up.

I would reserve a conservative per-job allowance at admission, account for in-flight reservations, and reconcile against actual usage when a job terminates. The stop test should launch several workers near the threshold and check the total committed exposure. That makes the maximum acceptable spend meaningful under concurrency rather than a warning that fires after the queue has already committed more work.