An arc is a recurring thread in AI news — a model race, a policy fight, a chip supply crunch — connecting published stories as the storyline develops over weeks and months.
“Enterprises approved agentic AI under software licensing logic. What they are running is a metered utility whose cost is only visible in retrospect.”
“The barrier was never the model — it was the missing container that security teams could approve.”
Developing arcs are still accumulating evidence, responses, or related entities across more than one public story.
Public arcs require evidence from more than one source family so one-off clusters do not become reader-facing pages.
Diversity: 34 → 6 families across chapters