AI agents are changing how people think about compute costs
Summary
The article discusses how AI agent workflows are shifting optimization focus from pure inference costs to broader challenges like latency, orchestration overhead, and reliability. It highlights a trend toward hybrid architectures and dynamic model routing to address these multi-step workflow complexities.
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