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Where AI agents pay off: A practical guide to the economics of agentic workflows

Published

24 August 2026

Topic

opportunities

◆ Sectors

AI AgentsAI Infrastructure

◆ Source

Read at mckinsey.com →

◆ Verified

Fusion42 · 24 August 2026 · Fusion42 review

The economics of agentic AI workflows are complex and rapidly evolving, with enterprise costs rising significantly despite decreasing token-level prices. Leaders must strategically identify valuable workflows by balancing model capabilities and costs to achieve scalable automation and enterprise value.

This Wire brief sits within Fusion42's coverage of AI Agents and AI Infrastructure.

◆ ◆ The Wire takeaway

You must rethink AI costs beyond token prices and focus on workflows where automation scales profitably. This reveals new routes to capture value by tailoring model use to the economics of specific tasks and avoiding costly blanket AI deployments.

◆ Coverage

1 source · 24 Aug 2026

◆ Related on Wire

◆ Topics

AI AgentsAI Infrastructureagentic-aicost-managementai-economicsworkflow-automationenterprise-ai