Is that AI agent worth it? Agentic economics and the modern operating model
Your AI agent ROI math is probably wrong. Here's what McKinsey found.
Why it matters
As enterprises scale AI agents, cost-benefit analysis frameworks are becoming critical decision tools. This strategic briefing addresses the gap between agent deployment hype and actual economic returns—essential reading for CFOs and CTOs evaluating agentic workflows.
The key facts
9 to knowMcKinsey analysis on agentic economics frameworks
Focus on ROI measurement for AI agent deployments
Context: companies are struggling with spiraling AI infrastructure costs
Emphasis on operating model transformation vs. cost reduction alone
Published July 2026 - reflects mature agentic AI market concerns
McKinsey analysis on agentic economics and ROI evaluation
Focus on operating model impact of AI agents
Emphasis on cost-benefit analysis amid rising AI expenditures
Strategic framework for evaluating agent deployment value
Go to the source
McKinsey Insightsmckinsey.com
Publisher excerpt: As companies focus on spiraling AI costs, they need to make sure not to lose sight of the real prize.