Are AI agents actually giving people ROI yet, or just saving time?

Reddit r/artificial / 4/26/2026

💬 OpinionSignals & Early TrendsIdeas & Deep Analysis

Key Points

  • The discussion challenges measuring AI agent ROI only by time saved or automation of a workflow, arguing that value can be broader than productivity gains.
  • It asks users to track additional outcomes such as creating reusable assets, improving processes over time, producing valuable outputs beyond the original task, and enabling monetizable deliverables.
  • The post suggests evaluating whether agents help generate compounding value like knowledge, better decisions, or improved execution.
  • It specifically invites experiences from people using agents for coding, research, business operations, content, data work, and niche expert workflows.
  • Overall, the central question is what “agent ROI” should mean in practice for serious users and whether time savings translate into true business or personal impact.

I'm curious how people are thinking about ROI from agents beyond productivity. A lot of the discussion is still around "this saved me 3 hours" (in some cases wasted more lol) or "this automated a workflow." That's obviously useful, but it feels like a limited way to measure value.

For people using agents seriously, are you tracking anything beyond time saved?

like for example:

- did the agent create something reusable?

- did it improve a workflow over time?

- did it generate outputs that had value outside the original task?

- did it create something others would pay for?

- did it help produce knowledge, decisions, or execution that compounds?

I'm especially interested in people using agents for coding, research, business ops, content, data work, or niche expert workflows.

just want to hear from everyone what does "agent ROI" actually mean to you?

submitted by /u/bibbletrash
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