Everybody Wants AI. Who's Paying for It?

For years, technology leaders could afford a little inefficiency.A system that stayed in place longer than it should. Infrastructure that nobody got around to optimizing. Assets that quietly blended into the background.AI is changing the math.As organizations invest in more intelligence, more automation, and more ambitious digital strategies, every decision about infrastructure, operations, and capacity suddenly matters a little more. Not because the future is out of reach, but because the opportunity is now big enough to be worth chasing.In this episode, WWT's Mark Wall argues that some of the most valuable AI investments aren't new at all. They're hiding in plain sight. The conversation explores why the next generation of enterprise leaders will think differently about efficiency, not as a cost-cutting exercise, but as a way to unlock growth, accelerate innovation, and create room for what comes next.Because the companies that get the most from AI may not be the ones with the biggest budgets.They may be the ones that know how to create capacity for the future.Support for this episode provided by: RiverbedMore about this week's guest:Mark Wall is Managing Director of Automation at World Wide Technology, where he helps enterprises turn complexity into opportunity. With more than 20 years of experience across networking, application services, automation, and infrastructure, Mark works with organizations to modernize operations, drive innovation, and build the foundations needed for the next generation of AI-powered business.Mark's top pick: Claude Mythos and the Remediation Velocity GapThe 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.