AI Proving Ground Podcast · 2026-01-21 · 45 min
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.
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