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Enterprise AI is leaving pilot mode — and a lot of infrastructure isn’t ready. In this episode of the AI Proving Ground Podcast, Intel’s Lynn Comp and WWT’s Mike Trojecki explain why treating enterprise AI as “just a GPU problem” leads to power, cost, and governance issues at scale. As agentic AI moves into real operations, the advantage shifts from raw performance to fit-for-purpose design. Power, cooling, and control become the real constraints. The takeaway for 2026: build AI like infrastructure, not spectacle. Because sometimes a Ferrari isn’t the right tool for the job. #EnterpriseAI #AIInfrastructure #IntelAI #AgenticAI #AIGovernance #AIAtScale #TechLeadership #FutureOfAI #AIArchitecture #AIProvingGround Support for this episode provided by: Proofpoint Chapters: 0:00 Enterprise AI Is Getting Noisy 1:58 Intel’s Wake-Up Call 4:06 When AI Becomes a National Issue 7:11 GPUs Are Not the Strategy 11:26 AI Is Hitting the Power Wall 14:40 Right Hardware, Right Job 19:24 Why Centers of Excellence Fail 22:48 Who’s Actually in Control? 25:35 Trust, Provenance, and Proof 28:12 Scaling AI Without Regret 30:20 Final Takeaways 🔔 Subscribe to AI Proving Ground on YouTube: https://www.youtube.com/ @AIProvingGroundPodcast Connect with us on: LinkedIn: / world-wide-technology Twitter: / wwt_inc About WWT: World Wide Technology (WWT) is a global systems integrator that provides digital strategy, innovative technology, and supply chain solutions to large public and private organizations. For more about the AI Proving Ground Podcast, visit: https://www.wwt.com/events/ai-proving...