Wire · opportunities
Where AI agents pay off: A practical guide to the economics of agentic workflows
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 & ML.
◆ ◆ 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.
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1 source · 24 Aug 2026
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