Why AI agents improve tasks but not broken systems
By
Sebastian Rios
Summary
The article argues that while AI agents are being rapidly integrated into workflows and show impressive results on individual tasks, the overall impact is often overstated. Speeding up one step in a multi-step process doesn't fix systemic inefficiencies—it just makes a broken system run faster. The author warns against "automating something that should not exist" and compares it to electrifying a cow path rather than redesigning the road.
Source
Hacker NewsWhy AI agents improve tasks but not broken systemssebas.fika.barKey quotes
· 4 pulledNot that the agent is bad; it is genuinely great. Drop it on a task, and that task gets faster, cheaper, and basically infinite, and yes, that part really does scale. But a task is not a system.
You sped up one step in a chain of fifteen, and the other
Everyone is wiring agents into everything right now... And it works. Everyone says so, loudly. The demo lands, the team cheers, the founder tweets.
What nobody tweets is that the win is smaller than it looks and stops growing almost right away.
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