CDW Corporation Citi’s 2026 Global TMT Conference

Well, Asiya, it's great to be here. Thank you again for having us. If I just zoom out for a minute and take a step back, we think about the way that AI is massively reshaping demand. Yes, it started with the hyperscalers building capacity, obviously, and then enterprise organizations have been next in line, so to speak. Now, what we've seen, we focus primarily on the mid-market size companies, those who have the same kind of needs and challenges as enterprise but do not have the resources and expertise to understand the best ways to implement and put AI to work. We also have a number of verticals where we bring differentiated capabilities, healthcare, federal, state and local, education, and we focus on those enterprise areas where we can bring something different, in which case we have seen strenuous growth.

As we think forward, the need to have an end-to-end strategic technology partner who can turn our customers' ambitions into outcomes is never more important. The gap between acquiring technology and putting it to use is getting bigger. The complexity, the number of choices, the impact that it has on an organization's health and growth.

is just magnifying. So when we think about the opportunity for CDW, particularly in these verticals and then into the mid-market, we see nothing but growth and opportunity ahead. In particular, across the entire life cycle. As I said, end to end is a very important value that our customers lean into and pay for, and that means helping them from the advisory through the integration and the implementation and ultimately to managing. We just recently did an acquisition last week.

Yeah of Lovelytics. Yeah. That is a great example of us investing behind our mission-forward growth strategy to add the services that are critical to put AI to work.

We all know data is still the gating factor for AI, frankly, and I think 12% of organizations say they are ready, their data is ready, and that includes large enterprises, by the way. We have lots of customers in the large enterprise space who are still dealing with this issue. So Lovelytics gives us a capability, 500 engineers, data scientists, who can help us with that tip of the spear, if you will. That front end of need and value for AI implementation. So the opportunity for us is the capacity is being implemented. How do we help our customers adopt, then consume and deliver an outcome that gets them the goals that they are looking for?

Yeah. I would say it this way. When I think about the imperatives that a customer has, there's preparing for AI. You think about AI infrastructure ready for AI at scale. You think about AI data foundations, ready to scale your data. You think about AI in the SaaS applications that customers already have. Then you move to, now what do we do with that? It's how do we apply agents? How do we automate? How do we secure? How do we govern? Then how do we make sure that we are optimizing for the economics. Then through all of that, there's a continuous innovation with our customers to drive more and more use cases. The opportunity is across every component there. Wherever our customers need us, we will be welcomed in that environment and then spread from there.

The other thing I would say, which is a significant opportunity for us, is our ability to have what I'll call a flywheel of experience, expertise, and learning. Because of our vertical capabilities, we are able to identify successful patterns and then codify them, then package technology, services, and expertise together in a way that we can then replicate in repeatable solutions into the mid-market or into other verticals and drive recurring revenue. It's across the board. It's across the life cycle, wherever it's needed. It's obviously the purchasing, but it's also the ability to package solutions in a way that drives velocity and value for our customers.