AI agents are multiplying faster than enterprises can manage them, raising new questions about cost, control and whether existing infrastructure can keep up.

WWT's Jason Campagna joins host Brian Feldt to unpack the growing "agent zoo" and the architectural decisions that will shape enterprise AI at scale. From choosing the right models and reducing inference costs to managing agent sprawl and delivering the right context, Jason shares practical insights for building AI systems that are more efficient, reliable and easier to manage.

For IT and AI leaders, the conversation offers a clearer framework for deciding where workloads should run, how to control costs and what needs to change before agentic AI can scale.

The AI Proving Ground Podcast leverages the deep AI technical and business expertise from within World Wide Technology's one-of-a-kind AI Proving Ground, which provides unrivaled access to the world's leading AI technologies. This unique lab environment accelerates your ability to learn about, test, train and implement AI solutions.

Learn more about WWT's AI Proving Ground.

The AI Proving Ground is a composable lab environment that features the latest high-performance infrastructure and reference architectures from the world's leading AI companies, such as NVIDIA, Cisco, Dell, F5, AMD, Intel and others.

Developed within our Advanced Technology Center (ATC), this one-of-a-kind lab environment empowers IT teams to evaluate and test AI infrastructure, software and solutions for efficacy, scalability and flexibility — all under one roof. The AI Proving Ground provides visibility into data flows across the entire development pipeline, enabling more informed decision-making while safeguarding production environments.