This Is Your Sign To Migrate Computerware

Running on legacy hardware isn't a neutral decision. Putting off a migration to newer, safer software is the act of falling behind — and the price grows every month.

Many business leaders don't realize the decision to keep running on legacy hardware isn't a neutral one. Putting off a migration to newer, safer software is the act of falling behind and as the months pass, the prices grow.

Two forces converged in June 2026 that made this reckoning unavoidable: Memory chip prices spiked and AI-powered cyberattacks were forewarned by The Five Eyes.

Businesses that recognize this now have options, but the longer they wait, the more decisions are being made for them (whether they know it or not).

Hardware Price Is Rising. Here’s Why:

The AI boom has created something the tech world rarely sees: a genuine, sustained shortage of the most fundamental component in computing. Memory chips (the RAM that powers every laptop, server, tablet, and phone) are being consumed by AI data centers at a pace that has completely overwhelmed global supply.

Data centers are now forecast to consume 70% of all memory chips produced worldwide in 2026. The acceleration is clear when you consider that they accounted for roughly 20% to 30% of global demand in 2022.

Everyone else is left fighting over the remaining 30%, including the manufacturers making the hardware your business runs on.

The pricing consequences are severe. Memory prices for both DRAM and HBM chips hit record highs in early 2026, nearly doubling in the first quarter compared to the previous quarter. Apple announced price hikes on MacBooks and iPads, calling the situation an “unprecedented challenge.” Best Buy's incoming CEO flagged the computing division as most exposed to further increases.

What does this mean practically? If your business is planning to remain with or refresh aging hardware (servers, workstations, networking equipment) you are walking into a market where prices are high and supply is structurally constrained. Gartner projects that rising memory costs will reduce global PC shipments by 10.4% and smartphone shipments by 8.4% in 2026.

Holding onto legacy equipment longer looks cheaper on paper because you’re getting your bang for your buck. We get that. In reality, your infrastructure is crumbling around you AND the prices are rising.

Your Old Security Doesn't Speak AI

The threat landscape your legacy cybersecurity was built to defend against no longer exists.

Legacy security tools (e.g. traditional firewalls, signature-based detection, manual monitoring) were designed for human attackers moving at human speed. Today's attackers aren't doing that. In 2026, defenders are facing autonomous AI systems that adapt in real time, rewrite malware mid-execution, and exploit cloud misconfigurations in minutes instead of days.

The economics of attacking have changed entirely. AI lowers the cost of personalization dramatically: scripts can harvest public profile data and train models to craft targeted phishing emails for each victim. Social engineering campaigns can scale globally with minimal manual effort, often deploying thousands of emails or calls in parallel. The sophistication that once required nation-state resources is now broadly accessible.

Classic cyberattacks often failed because the attacker had to do too much manual work: write believable messages, research org charts, craft lures, run campaigns, improvise when blocked. Generative AI removes that friction entirely.

Legacy security systems were not designed for this. They're optimized to recognize known patterns. How is that supposed to withstand adaptive AI-powered attacks?

Organizations that fail to adopt intelligent detection and response will struggle to keep up with faster, more adaptive threats.

Now Is The Time To Act

This moment is different from previous technology cycles: the memory shortage is structural and won't resolve until new fabrication facilities come online (around 2027 or 2028 at the earliest). The AI threat acceleration is happening right now, improving every millisecond.

Every quarter a business waits to modernize its infrastructure is a quarter where hardware refresh costs increase, legacy security gaps widen (further exposing you to threats perfectly designed to exploit said gaps), and the competitive distance grows. Companies that have already migrated to modern cloud-native environments with intelligent security are protected, faster, and leaner.

The cruel irony of waiting is that it doesn't reduce the disruption of change, it actually increases it. Businesses that put off migration don't avoid making the switch, they just make it under worse conditions with higher costs, less time, and less control.