Ask an AI assistant which servers you should buy for your next refresh and you will get an answer. It will be fluent, well structured and confident. It just won't be based on anything that describes your estate.
That is not a criticism of AI. It is a description of how it works, and it matters more every month, because more and more procurement teams are hearing the same question from the top of the business: can't AI just do this?
AI is trained on data
Large language models learn from what has been published. For server hardware, that means spec sheets, vendor reference builds, analyst commentary and forum threads. All of it is useful. None of it tells you how a particular configuration performs under your workloads, in your racks, at your utilisation.
That information is not on the internet. It only exists where someone has measured it. You cannot train a model on data that does not exist in public, so the model fills the gap with the next best thing, which is the spec sheet.
Why the spec sheet isn't enough
A server is sold more like a bill of materials than a finished product. CPU, memory, storage and configuration are chosen at the point of order, and each choice changes what the machine does per watt. Two servers with the same model name can land a long way apart once they are configured and running real work.
That variance is exactly what a purchase decision depends on, and it is exactly what a general model cannot see.
Where AI does help
None of this means procurement teams should avoid AI. It is very good at summarising tender responses, comparing contract terms, drafting requirements and pulling themes out of long documents. Use it for that.
The point is to know where its limits are. When the answer depends on evidence that nobody has published, a general purpose tool is guessing, however well it writes.
Purpose built for the question
This is the gap Interact was built to fill. Over nine years we have run hundreds of thousands of benchmarks across more than 500 data centres, grading every configuration A+ to F on what it actually does, measured in transactions per watt.
Interact Verify puts that dataset behind four self-serve simulations. Discovery shows what your estate does today. Consolidation tells you what to buy and how to right-size. Host-to-host compares a move from one platform to another. Environmental Compliance shows your position against the EU frameworks for data centres. Each returns a report in minutes.
So when someone asks whether AI can choose the hardware, the honest answer is: it can help with plenty around the decision. For the decision itself, you need the data.
Buy a simulation at interactdc.com/buy-a-simulation, or talk to us at interactdc.com/contact.