March 20, 2026
What We Learned at NVIDIA GTC 2026
At NVIDIA GTC 2026, the conversation shifted from model novelty to enterprise reality. In this episode of the AI Proving Ground Podcast, WWT Chief AI Advisor Tim Brooks explains why agentic AI, inference-heavy workloads and physical AI are forcing CIOs and CTOs to rethink infrastructure, governance, trust and leadership.
At NVIDIA GTC 2026 felt less like a showcase for breakthrough demos and more like a signal that AI is becoming an enterprise operating model. That was Tim Brooks' central read from the "Super Bowl of AI".
Brooks, WWT's Chief AI Advisor, said the industry is moving beyond fascination with model releases and into the harder work of managing inference, agents, infrastructure and trust at scale.
The shift matters because enterprise AI is no longer defined primarily by training. Brooks points to an inference inflection point, where production systems, multi-step reasoning and autonomous or semi-autonomous agents are driving exponential token growth. That creates immediate pressure on compute, memory, networking and cost decisions that many organizations are still underestimating.
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About the AI Proving Ground Podcast:
AI deployment and adoption are complex. The AI Proving Ground Podcast makes them actionable. Join top experts, IT leaders and innovators as we explore AI's toughest challenges, uncover real-world case studies and reveal practical insights that drive AI ROI. From strategy to execution, we break down what works (and what doesn't) in enterprise AI. New episodes are available every week.
Featured speaker
World Wide Technology
Chief AI Advisor