WorkThe story, in brief

A scorecard for the AI age

OpenAI's CFO just gave you the 4 metrics that matter for AI ROI. Most companies are still measuring the wrong things.

Illustration of two anonymous hands arranging task cards around an amber tool on a shared desk.
People, judgement and the changing nature of work.AI illustration by KeyNews
The KeyNews take

Why it matters

Sarah Friar's AI scorecard—measuring useful work, cost per task, dependability, and compute ROI—reframes how enterprises should evaluate AI deployment success. This is a strategic framework for leadership to assess AI investments beyond hype.

The key facts

4 to know
  1. OpenAI CFO introduces practical AI ROI framework

  2. Four core metrics: useful work, cost per successful task, dependability, return on compute

  3. Addresses enterprise measurement gap in AI value assessment

  4. Published July 17, 2026

Go to the source

OpenAI Blogopenai.com

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