Enterprise AI is moving out of pilots — and the infrastructure gaps are getting harder to ignore.

In this episode of the AI Proving Ground Podcast, Intel’s Lynn Comp and WWT’s Mike Trojecki break down why treating enterprise AI infrastructure as a single hardware decision is a costly mistake. As agentic systems push AI into real operations, assumptions like “AI = GPUs” start to crack under pressure from power, cost, governance, and scale.

The takeaway from 2025 is clear: performance alone isn’t the advantage. Fit is.

We unpack how agentic AI is reshaping security models and centers of excellence, why disciplined architecture beats oversized builds, and what leaders need to plan for in 2026 to scale AI without locking into brittle, overbuilt systems.

Because driving a Ferrari to run errands looks impressive — until you see the bill.

Support for this episode provided by: Proofpoint

More about this week's guests:

Lynn Comp has a wide range of experiences spanning her ~30 years in the tech industry, from strategic planning and go to market of RISC SOCs for both communications infrastructure and mobile phones, to software pipelines laying the groundwork for rapid video-based services innovation, to pioneering the foundational libraries that paved the way for 'software defined' networking with telecommunications operators. Lynn has extensive experience in marketing, product management, product planning, and strategy development across software, hardware, cloud, and communications service providers (CoSPs). Lynn has a Bachelor of Science in electrical engineering from Virginia Tech and an MBA from University of Phoenix

Lynn's top pick: AI Meets the Classroom: Shaping the Future of Learning with Intel

Mike Trojecki brings more than 25 years of experience across technology and leadership. His career began in the U.S. Air Force, supporting missions for the White House and Air Force One, where he developed a foundation of precision and reliability. After transitioning to the private sector, he led emerging technology practices at firms including ePlus and Logicalis. At World Wide Technology, Mike now leads the AI Practice, focusing on high-performance architectures, data, computer vision, and AI data center design to help organizations scale AI with impact.

Mike's top pick: AI and Data Priorities for 2026

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.

Enterprise AI didn’t fail.
It hit the wall.

In 2025, pilots multiplied, copilots spread, and expectations skyrocketed. Then reality caught up. Scaling AI turned out to be less about model quality — and more about data, security, cost visibility, and how organizations actually work.

In this episode of the AI Proving Ground Podcast, Chris Campbell and Jason Campagna break down what enterprises learned the hard way, why most AI initiatives stall between pilot and production, and what leaders must fix to make AI deliver real impact in 2026.

We get practical about:

• Why AI breaks when fundamentals aren’t ready
• What agentic systems expose at scale
• Why focus beats hype when AI becomes infrastructure
• How winning teams design, govern, and measure AI like a core system

If your AI strategy looks impressive but hasn’t changed outcomes yet, this conversation explains why — and what to do next.

Support for this episode provided by: Graphiant

More about this week's guests:

Chris Campbell is Senior Director of AI Solutions at World Wide Technology, where he leads strategy and delivery for AIaaS/GPUaaS and data center facilities and infrastructure solutions. He brings deep experience across executive engagement, customer advocacy, and large-scale engineering leadership. Prior to WWT, Chris held senior leadership roles at Forsythe, Red Hat, BEA Systems, and AT&T. He holds a BA from Columbia University and an MBA from the University of Maryland, where he was a Dingman Entrepreneur Scholar.

Chris's top pick: AI and Data Priorities for 2026

Jason Campagna is a strategic technologist at World Wide Technology, where he leads AI solution strategy and helps enterprises navigate the next wave of intelligent systems, from AI assistants to autonomous agents. With deep experience spanning cloud, automation, and platform architecture, Jason focuses on turning emerging technology into operational reality. He brings a pragmatic, execution-driven approach to scaling AI in complex enterprise environments.

Jason's top pick: AI Agents: Scaling Your Digital Workforce

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 is no longer an experiment — it’s an accountability test.

In this episode of the AI Proving Ground Podcast, Dave DeWalt, Founder and CEO of NightDragon, and Kate Kuehn of WWT unpack what happens when AI systems fail, misfire, or create real-world risk — and who ultimately owns the outcome.

As organizations look toward 2026, boards want visibility, CEOs want measurable impact, and the lines between IT, security, and the business have disappeared. AI accelerates opportunity, but it also accelerates exposure — collapsing decision timelines and reshaping responsibility.

This conversation explores how accountability is shifting to the top of the enterprise, how leaders should think about ownership when AI breaks, and why resilience, governance, and speed now define competitive advantage.

Support for this episode provided by: Graphiant

More about this week's guests:

Dave DeWalt is founder and CEO of NightDragon, a venture and advisory firm focused on building the world's leading SecureTech platform. A four-time CEO, he has led iconic companies including FireEye, McAfee, and Documentum, creating over $20B in shareholder value. A longtime board leader and public servant, DeWalt has advised four U.S. administrations on national security and cybersecurity and is a recognized voice on technology risk and resilience.

Dave's top pick: Infrastructure as a Strategic Target of War

Kate Kuehn joined WWT in 2024, bringing more than 25 years of experience leading and advising cybersecurity, technology, and AI strategy. She has held executive and board roles across the cyber ecosystem — including CISO, CEO, Chief Trust Officer, advisor, and board director — with experience at companies such as Aon, BT, and Verizon. A trusted advisor and award-winning leader, Kate focuses on helping executives and boards align cyber risk, AI, and business strategy in an increasingly complex threat landscape.

Kate's top pick: AI Won't Save You: Easterly, Joyce and CISOs on the Cybersecurity Reality No One Wants to Hear

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.