Episode Details

AI agents are consuming more tokens than humans, and Jeetu Patel thinks we’re only at the beginning.

The Cisco president and chief product officer joins the AI Proving Ground Podcast to explore what changes when AI stops waiting for prompts and starts taking on the work itself. Suddenly, using AI well becomes an exercise in judgment: knowing what to hand over, what it’s worth and where human oversight still matters.

Patel also makes the case for a different measure of AI productivity. The goal isn’t simply to generate more or move faster. It’s to use AI to produce better thinking, tackle harder problems and do things that weren’t possible before.

Support for this week's episode provided by: Eaton

More about this week's guest:

Jeetu Patel is Cisco’s President and Chief Product Officer, leading the company’s product vision across networking, security, computing, Splunk, silicon and more. A recognized expert in AI and product strategy, he oversees several multibillion-dollar businesses and is helping shape the infrastructure powering the AI era. Before Cisco, Patel held senior leadership roles at Box, EMC and Doculabs.

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.