Observability gains weight in controlling agentic AI costs
55% of organizations cannot accurately control their AI costs, according to the Splunk State of Observability 2026, produced by Oxford Economics with 2,050 IT professionals from ten countries. The study notes that autonomous agents make consumption and behavior harder to anticipate, and that observability is increasingly tied to financial management. 87% consider monitoring AI workloads a priority, but 54% have no business results linked to that oversight and 56% cannot properly measure the quality of model responses.
In 35 seconds
- 55% of surveyed organizations do not accurately control their AI costs, according to the Splunk State of Observability 2026
- 87% prioritize monitoring AI workloads, but 54% have no business results linked to that oversight
- 57% say their telemetry spending exceeded the cost of the infrastructure being monitored
Read the full story at La Ecuación Digital
IASummary generated by artificial intelligence from a story by La Ecuación Digital. It may contain errors: the original source prevails.
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