---
title: "OpenAI Introduces AI Age Scorecard: A New Way to Measure ROI"
source: "OpenAI：News（RSS）"
source_tier: "t1"
url: "https://openai.com/index/a-scorecard-for-the-ai-age"
permalink: "https://feed.astralor.com/items/itm_3ebda52fc80ebe33165f5f41"
published: "2026-07-17T10:00:00.000Z"
score: 85
channel: "tech"
tags: ["AI Scorecard","AI Deployment Strategy","OpenAI","ROI"]
---

# OpenAI Introduces AI Age Scorecard: A New Way to Measure ROI

## AI commentary

> This blog post hits a sore point in the current AI industry: how to quantify input-output. For enterprise decision-makers deploying or planning large-scale AI, it helps avoid herd mentality. My personal advice: try defining 'useful work' based on your own business scenario, and avoid designing metrics that are merely formality.

## At a glance

OpenAI CFO Sarah Friar proposes a practical AI scorecard that measures ROI through useful work, cost per successful task, dependability, and return on compute. This framework aims to help organizations objectively evaluate the real value of AI deployments, avoiding a sole focus on technical metrics while ignoring business benefits.

## Key points

- The scorecard includes four core metrics: useful work, cost per successful task, dependability, and return on compute.
- Emphasizes evaluating AI from a business value perspective rather than solely technical performance.
- Establishes a quantitative link between AI investment and output for enterprises.
- Reduces uncertainty in AI investment decisions.

## Full text

Sarah Friar, CFO of OpenaAI, introduces a practical AI scorecard to measure ROI through useful work, cost per successful task, dependability, and return on compute.

---

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