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.

AI-powered cyberattacks are accelerating. Anthropic is making enormous bets on computing capacity. And Salesforce could change how enterprises pay for AI agents.

In this episode of The Weekly Signal WWT CTO Mike Taylor joins host Brian Feldt to unpack the headlines shaping the next phase of enterprise AI.

They explore how autonomous agents are changing the cybersecurity landscape, what Anthropic's reported $500 billion in compute commitments reveals about the economics of AI and why a potential Tesla–SpaceX merger could reshape the AI infrastructure market.

Plus, NVIDIA's latest AI infrastructure developments, Gartner's findings on enterprise AI value and Salesforce's proposed agent-based pricing raise a bigger question: As AI becomes more capable, how will businesses manage the cost, risk and complexity of putting it to work?

From machine-speed security to AI factories and the changing economics of enterprise software, Mike connects the week's biggest developments to the decisions technology leaders face today.

The Weekly Signal is part of WWT's AI Proving Ground Podcast.

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.

For years, enterprises have been stuck with aging software that's too expensive, too complicated or too risky to replace. AI is changing that equation. But faster code doesn't necessarily mean better software.

What happens when AI can rebuild a critical application in a fraction of the time, but the people who understood why it worked that way are long gone?

On this episode of the AI Proving Ground Podcast, WWT's Nate McKie joins host Brian Feldt to explore how generative AI is rewriting the rules of legacy application modernization. From reconstructing software without its original source code to the legal gray areas of AI-powered replication, the conversation reveals just how much is becoming possible, and what organizations still need to get right.

Because the real challenge isn't simply replacing old code. It's preserving the business decisions buried inside it, proving the new system works and rethinking development practices for a world where AI can write software faster than organizations can approve it.

Support for this episode provided by: Coder

More about this week's guest:

Nate McKie is Senior Practice Director of AI Native Engineering and Senior Executive AI Advisor at World Wide Technology. With more than 25 years of experience in software and automation engineering, Nate helps organizations turn emerging AI capabilities into practical business solutions. His work focuses on AI-driven software development, legacy application modernization and helping enterprises rethink how they build, manage and evolve critical systems.

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.