How AI transforms online working

The modern workplace feels logical today.

Working wherever suits you. Collaborating in the cloud. Always having access to information.

But anyone who thinks this happened by itself underestimates how much has been tried, rolled back, and redesigned along the way. What we now call "modern" is the result of thirty years of choices, tinkering, and grumbling!

And just as much doubt... and despair whenever something new came along.

By Robin Damen – Virtual Computing (Microsoft Partner, NEN7510, ISO9001, ISO27001).

"Work is no longer a place you go to, but something you do." – John Chambers (Cisco)

Decoupling work from the workplace: The first movement

As early as the 1990s, some organizations no longer took the traditional office for granted. Interpolis (in Tilburg) was a clear example of this in the Netherlands. Not because technology was central, but because people questioned why we actually work the way we work. Fewer fixed desks, more trust, room for different ways of working.

Internationally, we saw the same thinking at companies like IBM, where working from home was taken seriously early on. Not as a perk, but as a full-fledged part of the work model. What these pioneers had in common is still visible today: Work is an activity, not a location. Trust is a prerequisite. Technology follows work, not the other way around. That sounds obvious now.

Back then, it was groundbreaking.

Technology enabled a lot, but didn't automatically make things better

With laptops, the internet, VPNs, and later cloud and virtualization, flexible working became technically feasible.

In practice, we saw something different happening. Many organizations tried to support new ways of working with old reflexes. Flexibility, but tightly regulated. Working from home as an exception. Virtual desktops that are technically sound but unnecessarily complex.

What we saw in practice — and still see — is that the modern workplace is often approached as an IT project. When in essence, it's an organizational question.

The technology could handle it. The coherence was missing.

New organizations started with collaboration, not tools

Where some organizations kept optimizing within existing frameworks, a new generation of companies started from a different premise.

Companies like Google and Microsoft, but also fully remote organizations such as GitLab and Automattic, asked different questions. How do people collaborate? What do they need to do it well? And only then: What technology fits?

For these organizations, location-independent working wasn't a solution — it was a given. The workplace didn't become a collection of tools, but a cohesive whole.

COVID: acceleration under pressure

When COVID hit, this development rapidly accelerated.

Not because the idea was new, but because there was no alternative left. Organizations were forced to make decisions in weeks that had previously been discussed for months. Massive deployment of cloud and collaboration tools. Accelerated adoption of virtual desktops. Pragmatic solutions to keep people working.

That period brought a lot of creativity and speed. But also temporary solutions and new complexity. What worked under pressure didn't always prove sustainable. COVID was therefore not a starting point, but an accelerator.

From improvisation to mature design

After that acceleration came reflection.

Many organizations recognized the same patterns. Flexibility without structure leads to complexity. Security and management can't be solved after the fact. User experience determines whether a workplace is actually embraced.

The question shifted from "how do we ensure people can work?" to "how do we set this up properly, securely, and future-proof?"

That's the moment when the modern workplace matures.

AI is now changing not just how we work, but what work is

And now we're at another tipping point.

Where earlier phases were mainly about where and how we work, AI touches on what work actually is. AI automates tasks, supports decisions, analyzes patterns, and is increasingly intertwined with daily work.

In practice, we see that this has major implications for the workplace. Users don't just work with tools, but with virtual assistants. Data is utilized more actively, but requires tighter governance. The boundary between application, workplace, and process is blurring.

"AI won't replace people. But people who use AI will replace people who don't." – Andrew Ng

AI makes existing choices more visible. What's messy becomes messier. What's well-designed becomes more powerful.

The role of Virtual Computing

It's precisely in that complexity that Virtual Computing's role lies.

Not as a supplier of "the modern workplace," but as a party that helps design, make choices, and maintain control.

We're often brought in when environments have grown without coherence. When security and management come under pressure. When organizations want to deploy AI but want to stay in control. Or when the workplace needs to adapt to change without rebuilding from scratch every time.

In practice, that means starting with work processes rather than tooling. Designing architecture that remains scalable and manageable. Taking identity, data, and security as the foundation. Building workplaces that can handle change.

From pioneers to deliberate choices

The modern workplace isn't a finished product. It's something you keep designing, adjusting, and protecting. AI makes that design more important than ever.

Looking back at thirty years of the modern workplace, you don't see a straight line. You see movement, doubt, acceleration, and course correction.

The common thread is clear. Technology changes fast. But progress only happens when organizations dare to choose.

The modern workplace is no longer a hype. It's a strategic foundation.

Virtual Computing builds and works on that foundation in a rapidly changing world.