Per-token pricing was the best thing to happen to enterprises looking to experiment with artificial intelligence, but it may be the worst thing for AI in production. That’s the quandary at the center of a new Futurum report, “The Off Ramp From Per-Token Pricing,” sponsored by neocloud provider QumulusAI Inc. The report’s key finding is that agentic AI can drive token consumption per task 10 to 100 times higher than a simple inference call. Agentic AI being more expensive is likely no surprise, but it’s good to see the report quantify it.

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Agentic AI is breaking the token meter, and enterprises need a plan for what comes next

For decades, the observability industry has answered one basic question: Is it running? Agentic artificial intelligence breaks that model. An agent can return a clean response, meet its latency target and throw no errors, yet still give a customer the wrong answer, call the wrong tool or pull from a stale knowledge base. By every traditional metric, the system is healthy, but the only metric that matters to the business is that it failed.

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AWS CloudWatch Omni goes after the hardest question in agentic AI: Why did the agent do that?

Every organization I talk to wants to be “AI-ready,” but few want to discuss what that entails. It’s rarely a new model or agent. More often, it’s the unglamorous work of ripping out a decade’s worth of infrastructure debt so the network can deliver the bandwidth, consistency and data that artificial intelligence depends on.

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Notre Dame’s network refresh shows the AI era starts with paying down technical debt

Every vendor event has a center of gravity, and at theCUBE Research’s AI ROI in Contact Center Summit, it wasn’t a product. It was a metric this industry is finally ready to abandon. I co-hosted the summit recently with Bob Laliberte (pictured, left), principal analyst at theCUBE Research, and spoke with executives from Cisco Systems Inc., Five9 Inc., Zoom Communications Inc., Talkdesk Inc., and Converged Technology Professionals, an implementation partner.

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Containment is dead: Five takeaways from the AI ROI in Contact Center Summit

In Denver this week, Cisco Systems Inc. and its Splunk unit made a bet that the scarcest resource in the agentic enterprise isn’t intelligence or graphics processing units — it’s trust. The Splunk .conf 2026 show themes and keynotes focused less on dashboards, widgets and features and more on who or what is authorized to act in the agentic era. Every vendor conference typically has a center of gravity that serves as a unifying theme.

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Trust becomes the product: Five takeaways from the Splunk .conf26 keynotes