---
title: "ROI"
description: "1 posts about ROI, summarised, each linking to the original."
---

# ROI
> 1 posts about ROI, summarised, each linking to the original.

## Articles

### [Everyone's adopting AI agents. Almost no one can prove the ROI. Here's why](https://yomu.fyi/post/everyone-s-adopting-ai-agents-almost-no-one-can-prove-the-roi-here-s-w.md)
- Company: [Databricks](https://yomu.fyi/company/databricks.md)
- Author: Databricks Staff
- Published: Oct 14, 2026
- Type: Explainer

Many organizations are quickly adopting AI agents, yet almost none can convincingly demonstrate the return on investment due to a mismatch between purchasing decisions and actual usage. This gap arises because executives buy AI out of fear of being left behind, not from validated ROI studies, and teams measure productivity using speed metrics that miss the broader picture. True productivity from agents is about automating routine, schedulable tasks so human experts can devote energy to judgment calls and creative work, provided quality is maintained alongside efficiency. Without rich business context like institutional knowledge, local regulations, and historical data, an AI agent cannot deliver meaningful work, no matter how fast it executes generic instructions. The most frequent mistake is scaling prematurely trying to roll out broadly after a few promising demos, without ensuring the necessary iteration, infrastructure, and readiness for reliable, quality outcomes at scale.