What AI Buyers Actually Want From a Data Center
Updated: 1 hour ago
Joaquin "Jack" Fagundo, writing from Parkland, FL, on how AI changed the data center buyer, and why the providers selling certainty are winning.
AI has changed what a data center customer is buying. A few years ago, the conversation was about space, uptime and price for steady enterprise workloads. Today the buyer is often an AI team that needs dense power, a cooling design that can handle it, and a delivery date it can actually plan around. Providers still selling the way they did a few years ago are losing deals they never knew they were in.
Providers still selling the old way are losing deals they never knew they were in.
The first question has changed. It used to be about square footage; now it's how many megawatts are available, and when. Density has become the new spec sheet, since GPU racks draw far more power than traditional ones, which pushes cooling design to the front of the evaluation. Time has become a feature in its own right, and a credible energization date often beats a lower price on capacity that arrives a year later. The people at the table have changed too. Infrastructure, finance and AI platform leaders now sit together, and each one evaluates the deal differently.
The provider's problem
Grid interconnection queues, long lead times for electrical equipment and local permitting now shape what any provider can honestly promise. The International Energy Agency expects data center electricity use to come close to doubling by the end of the decade. A provider that can't show a credible path to power struggles to stay on the shortlist, however good the facility is.
How the winners sell
They lead with power and dates, putting available megawatts and energization timelines into the first conversation, in writing. They sell the cooling roadmap, showing how a hall supports air today and liquid as density rises. They package capacity in phases, a first block plus an option on the next, which matches how AI programs actually get funded. They speak to all three buyers, giving the infrastructure lead the technical design, finance the commercial model and the AI platform lead the deployment timeline. And they prove they can operate high density environments, not just build them.
AI didn't just add demand to the data center market. It changed what buyers value. The providers that win are the ones selling certainty: power they can deliver, density they can cool, and dates they can keep.
I talked through these ideas as a guest on the Data Center Go-to-Market Podcast, which you'll find on my photos, interviews and insights page. For the spending behind all this demand, read Follow the Megawatts.
Joaquin "Jack" Fagundo writes about data centers, cloud and the business of AI from Parkland, FL. He has spent 20+ years leading enterprise infrastructure and advises companies through JFagundo Consulting Services. Read more about Jack or find him on LinkedIn.
