AI-powered cyberattacks are getting faster, billions are pouring into compute infrastructure and the promised productivity gains are still difficult to measure. Is enterprise AI moving faster than businesses can adapt?

WWT CTO Mike Taylor joins Brian Feldt to unpack the week's biggest AI developments, from Anthropic's expanding cybersecurity efforts to the growing debate over compute capacity and AI's economic payoff. They explore why stronger security requires more than better tools, how organizations can turn individual AI productivity into measurable business outcomes and what it will take to build teams ready for what's next.

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.

AI is getting cheaper, faster and easier to put to work. So why are so many companies still struggling to show a return?

Purdue University’s Richard Ryffel and Mohammad Saifur Rahman join the AI Proving Ground Podcast to argue that the problem may be how businesses are thinking about AI in the first place. Treating it as another efficiency tool can only take you so far. The bigger opportunity comes when companies use cheaper intelligence to rethink how work gets done, where humans create value and what the business is capable of doing next.

The shift won’t happen overnight. There’s a J-curve between investing in AI and realizing its value, and getting through it may require a different approach to leadership, talent and even how we measure progress.

Because the real question isn’t how much work AI can replace. It’s what becomes possible when intelligence itself costs less.

Support for this episode provided by: Glean

Richard Ryffel is Special Advisor to the Dean and Professor of Practice at Purdue University’s Mitch Daniels School of Business, where he works with business leaders on AI and executive education. He brings 35 years of experience across finance, investment management and corporate advisory, including roles at J.P. Morgan, Bank of America and Edward Jones.

Mohammad Saifur Rahman is the Daniels School Chair in Management and Professor of Management at Purdue University’s Mitch Daniels School of Business. His research explores the economics of digitization, AI and decision-making, with a focus on how emerging technologies reshape business and create value. His work has appeared in Management Science, Information Systems Research and MIT Sloan Management Review.

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.

OpenAI is giving AI agents more work to do. Meta is making a bigger push into enterprise AI. And the industry is racing to connect those systems to company data — and control what they do next.

In this episode, World Wide Technology CTO Mike Taylor unpacks the stream of news coming out of the White House regarding AI policy and regulation, OpenAI’s DevDay announcements, Meta’s new enterprise business, Microsoft and Google’s push for shared business definitions, and agent security efforts from NVIDIA and Okta.

Plus: why companies are turning to open-weight models to manage costs, and what AI providers’ enormous infrastructure commitments could mean for their customers.

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.