I got a call this week from an MSP owner I’ve known for twelve years. He’d just lost a deal — not to a competitor, not on price in the traditional sense. He’d quoted a client on a server refresh, locked in the hardware cost, and by the time the PO came back, the distributor had repriced. New quote, same specs: 60% higher.
He told the client. The client thought he was making it up. Padding the invoice. That’s how fast this has gotten ugly.
This isn’t a one-off. A post making the rounds on r/sysadmin right now reads: “Bought servers two years ago for about $15K each. Got quotes a few weeks ago, now they’re $30K each for the same box. Oh, except the supplier canceled the order two days after we sent the PO in, and now the servers are $40K each.”
The comments are full of the same story with different vendor names.
What’s actually happening
The short version: AI is eating memory. The longer version doesn’t change the punchline much.
During 2025, OpenAI, Microsoft, Google, and a few dozen other companies went on an infrastructure binge. Training and running large models requires enormous clusters of servers packed with high-performance memory. Chip manufacturers saw the margins available on AI infrastructure orders and made the only decision any rational business would make: they redirected production toward the most profitable market segment.
DRAM components are up more than 70% year-over-year. High-performance memory in some categories has jumped 170%. NAND flash — the stuff inside every SSD — has climbed alongside it. Analysts estimate that 70% of global memory production in 2026 will go to AI data centers, leaving 30% for everything else — business PCs, servers, storage, consumer electronics, all of it.
Dell implemented 15-20% price increases on PCs and servers starting in December 2025. Lenovo canceled all outstanding quotes and introduced new pricing from January 2026 — internal estimates put PC and server pricing up 10-15% with further increases possible. Dell’s own COO Jeff Clarke said he had “never seen memory-chip costs rise this fast.” That quote deserves to be printed and taped to every MSP sales manager’s monitor.
New semiconductor factories are being built. They won’t be online until 2027 or 2028. Until then, this isn’t easing.
The tariff layer on top
There’s a second story running underneath the memory crunch, and it’s more complicated. On March 4, a U.S. Court of International Trade ruling found the tariff program unconstitutional and ordered the roughly $130-175 billion collected to be returned to importers. Companies like Dell, HP, and Nvidia stand to receive significant refunds. Whether that translates to price relief, margin capture, or legal appeals absorbing the whole thing — nobody knows yet.
What’s certain is that hardware pricing in 2026 is layered. The memory crunch is structural. The tariff situation is volatile. Vendors are navigating both simultaneously, and the uncertainty is getting passed to channel partners as unpredictable quote-to-PO price changes. The distributor who cancels your order two days after you submit a PO isn’t being malicious. They’re trying not to lose money on a contract signed under pricing that changed overnight.
I’ve been doing this long enough to remember the COVID supply chain. This rhymes. The difference is that the AI demand curve isn’t a disruption that returns to baseline. It’s a reallocation. Business PC and server hardware is structurally lower-priority than it was three years ago from the chip manufacturer’s perspective.
The conversation your clients need to have
Most MSPs are handling this wrong. They’re absorbing the news, hoping things stabilize, and avoiding the conversation. That approach has a short shelf life.
Here’s what I tell people: the client conversation has two versions. You can have it proactively, where you explain the market conditions, walk through the data, and present options together. Or you can have it reactively, after they’ve already seen a vendor’s price increase on LinkedIn or gotten sticker shock from a hardware quote at a different provider. The reactive version of that conversation starts with you on defense.
The proactive version sounds like: “We need to talk about your refresh timeline. Hardware costs have moved significantly this year — let me show you why and what your options are.”
From there, you have real choices to offer. Lease or finance if the upfront cost is the problem. Prioritize critical systems and extend the refresh cycle on less-sensitive equipment. For some workloads, cloud migration makes more economic sense at current hardware prices than it did at 2024 prices. That’s not a sales pitch for cloud, it’s math — and clients respect it when you’re doing the math honestly.
The AI profitability conversation MSPs have been avoiding is connected to this. The vendors who’ve been pushing AI tooling are consuming the same memory supply that’s making your hardware refresh expensive. That’s not a conspiracy — it’s a market dynamic worth understanding and explaining to clients who will eventually connect the dots themselves.
What doesn’t work
Eating the cost increase silently. You can try it once. You can’t do it as a business model.
Blaming the vendor. Your client doesn’t care whether it’s Dell’s fault or the AI industry’s fault. They care what it costs and when they can get it.
Pretending the quote you gave three months ago is still valid. If you gave a hardware quote before December 2025 and haven’t re-validated it, that number is probably wrong. Check it before the client tries to approve it.
The MSPs who navigate this best will be the ones who make the market conditions visible to their clients rather than trying to absorb the pain invisibly until they can’t. Transparency here isn’t weakness. It’s the thing that keeps a client relationship intact when the numbers get uncomfortable.
I’ll be honest: this is a rough environment to be running a hardware-dependent practice. The right response isn’t panic and isn’t silence. It’s showing up with the full picture and helping clients make real decisions with it. That’s been the job for twenty years. The context changes. The job doesn’t.