Why Moving to the Cloud Matters

By Tom Nault, CEO, Hudson Cloud Systems

When ChatGPT showed up in late 2022, none of us thought it would grow this fast or get this complicated. Yet here we are, late 2025, and there isn’t a single direction in tech untouched by AI. Every time we try to guess where it’s going, we’re off because of velocity. Something new pops up, faster, more powerful, and nothing like what we expected.

Kurzweil nailed it: technology grows exponentially, but we keep thinking linear. That’s why AI keeps catching people off guard.

So what?

Here’s the part people miss: AI isn’t just being built into products anymore. AI is building products. It’s writing code, testing features, designing workflows. That means capabilities are improving in two directions at once, the product itself and the AI making it. That’s exponential growth squared.

Where schools are getting split

At Hudson Cloud, we see two kinds of academic customers. Some drag their feet, hang onto old systems, and just “make do.” The others can’t move fast enough. They call us to talk through where AI is heading because they want their roadmap to match reality, and not assume a linear future. Those are the schools that will win.

Why on-prem won’t cut it

This is where the IT departments perk up. On-premises servers, what we call “on-prem” can’t keep up. It’s not just hardware cost; it’s the whole picture: patches, compliance, refresh cycles, power, cooling, staff hours. Multiply that by the pace of AI, and you’re not climbing a hill, it’s like you’re chasing a car on foot.

Cloud flips that. You get elastic scale, built-in compliance, redundancy, instant updates. The cost curve works in your favor instead of against you. If you’re sitting on a server farm right now, it’s going to get more expensive and less capable every year from here.

How AI changes dental education

For dental schools, this isn’t theory. Students will train with smarter tools, but the real breakthrough is how they’ll be evaluated. Gone are the days of “pass the test and move on.” AI tutors will follow each student in real time, remember their progress, and expose blind spots the human eye misses. Dunning-Kruger’s theory of assumed knowledge held by others won’t slip by.

Every student will have an AI mentor walking with them, making sure they don’t just graduate, but graduate as the best version of themselves.

What makes HCS different

Here’s where we come in. What Hudson Cloud created over years of work isn’t just cloud migration. It’s instant portability from station to station no matter where you are. A student taps their access card and PIN, and their entire desktop, including AI tutors, shows up at any station. No lag, no setup, no data hanging around on random machines.

From IT’s perspective, this checks the boxes:

• No local data sitting vulnerable.

• Identity management plugs into what you already use.

• Updates and patches happen once, centrally.

• Scale across clinics, labs, and classrooms without touching every workstation.

That’s the “secret sauce” we’ve been perfecting for eight years. And right now, we’re the only ones with a solution like it.

Looking ahead

We don’t claim to know every twist AI will take next year. Nobody does. But we do know that schools tied to on-prem will pay more and get less. Schools that move now will be ready for what’s coming and have far more to offer students. We’re determined to keep our customers and their students the most forward-facing imaginable.

That’s why we’re asking IT leaders and administrators alike: sit down with us. Test our solutions and compare. Bring your hardest questions. We’ll walk you through how we built this to last and demonstrate how you benefit.

And if you’re at CES in January, come join us as we walk around and learn. We’ll be there, learning and adapting right alongside the best of them.