XR (Extended Reality) and AI are two of the most exciting technologies to hit the workplace in years. Everyone’s getting involved. The XR market is expected to be worth over $3261 billion by 2034, and the AI market will be worth over $3497 billion. Trouble is, inside most organizations, the people who are supposed to use this stuff haven’t been prepared at all.
In the UK alone, the CIPD found organizations are providing very little training on immersive technologies, even as they start to show up in everyday work. Then they wonder why adoption lags and ROI feels almost impossible to measure.
It’s easy to blame cost, devices, or immature use cases, but teams are really being blocked by something simpler: a lack of XR readiness.
When organizations skip the basics: skills, governance, ownership, and change management, pilots crumble before anything can scale. If XR feels “promising but stuck” inside your organization, this is probably why.
Further reading:
- VR vs AR vs MR: Which XR Tech Do You Need?
- How Enterprises Can Integrate XR into Workflows
- How Do Enterprises Scale and Sustain XR Success?
What Is The XR Readiness Gap?
Most companies are already aware that they need to be ready for AI, particularly as teams of AI colleagues evolve, but often, XR readiness feels less necessary. We assume smart glasses and headsets are still novelties, even as case studies continue to prove their value.
Our own research in 2025 found 84% of respondents were adopting or evaluating XR solutions for training, collaboration, customer experience enhancement, and more. But they’re still struggling with training and scalability.
There’s plenty of other data that proves XR is more than a novelty, too. PwC identified 1,550 unique XR business use cases by scanning 2.2 million UK organisations and analysing 500 million data points. What’s important to recognize is that XR readiness isn’t just about having a budget.
XR adds devices, identities, software layers, and support demands into environments that are already fragile. Research shows 74% of employees say even a minor technical issue can derail their day. Now imagine adding headsets, immersive apps, or spatial workflows on top of that without preparation. It’s no wonder companies face hurdles.
What Does XR Readiness Include?
Whenever a company says it’s “getting serious about XR,” the conversation usually jumps straight to devices. Headsets. Smart glasses. Specs. Timelines. That’s often the first sign they’re not ready.
XR readiness has very little to do with hardware. It’s about whether the organization can absorb a new way of working without adding more friction.
From what we’ve seen, readiness breaks down into four very practical layers.
- Skills enablement tied to real work: Skip the certifications. Skip the training programs built around XR itself. The real question is whether someone can use XR and keep working without feeling slowed down or unsure of what to do next.
- Governance people can actually understand: XR captures more than clicks. It measures movement, spatial context, and sometimes attention. If employees don’t know what’s being recorded, who sees it, or how long it’s kept, trust disappears.
- A clear operating model: When the pilot ends, someone has to pick this up. Actually own it. Who orders replacements when devices break? Who updates content when work changes? Who helps when someone’s stuck mid-task? If the answer is vague, XR never really moves past the trial phase. Fancy tech doesn’t fix missing ownership.
- Real change capability: XR changes behaviour and workflows. Treating it like “just another tool” skips the hard part. Human-led transformation depends on relevant, ongoing change management.
XR adoption is approaching a real inflection point, but inflection points reward preparation. Without readiness, organizations accumulate pilots nobody talks about anymore.
What Barriers Slow XR Adoption in Enterprises?
After a while, the failure modes start to look familiar. Different industries, different vendors, same outcomes. XR strategies fade away because of:
- Demo-led pilots: Of course, the demo looks good. It’s designed to. The mistake is stopping there. Too many teams forget to check what happens after people go back to real work. Did anything get faster? Safer? Less painful? When success is measured by reactions instead of results, XR lives on borrowed time. The moment budgets tighten, enthusiasm gets cut first.
- No job-task mapping: XR gets introduced without answering a simple question: Which moment at work is this meant to help? Training content doesn’t line up with real tasks. Guidance arrives at the wrong time. People stop trusting it.
- Policy comes last (or never): Privacy, security, and acceptable use get pushed down the roadmap. That’s how XR starts triggering “surveillance” concerns, union questions, and compliance rework. Once teams stop trusting devices, they stop using them.
- No workforce input: XR strategies are often designed for employees, not with When people aren’t involved early, resistance shows up through workarounds, minimal use, or polite disengagement. Shadow tools fill the gap, and leaders wonder why adoption feels shallow.
- Change capacity gets ignored: XR lands on top of already exhausted teams. Research shows 44% of HR and communications leaders see change fatigue as the biggest barrier to success. Piling XR onto an overloaded workforce without support creates avoidance.
Trying to understand the pain points influencing XR adoption? These are the issues enterprises tend to struggle with.
How Can Organizations Build XR Readiness Across Teams?
It’s easy to go too far in two directions when you’re trying to improve XR readiness. Either you overcomplicate things with massive roadmaps, or you just put XR on hold until you figure everything else out. The best strategy is simple:
Start with one workflow and one owner
Choose a single problem that you want to fix right now. The use cases for XR are diverse, covering everything from training, to collaboration, and even customer service. You only need one focus area to start with. Maybe it’s something like keeping field workers safe on the job with AI-enhanced smart glasses, or using virtual reality for risk-free skill development.
Once you’ve picked your workflow, choose an owner for the project. Figure out who’ll be responsible for watching headset usage, providing extra training, or just measuring ROI.
Map XR to the job before choosing devices
Work backwards from the task. Where does someone struggle? Where do they need guidance, validation, or hands-free support? Once that’s clear, device decisions get simpler and cheaper.
This is where first movers have seen real returns. BCG’s reporting on early enterprise XR programs shows outcomes like 20% less equipment downtime, 50% fewer revisit rates, 40–50% reductions in errors, and training times cut in half when XR is tied directly to work, not experimentation.
Plan for ongoing training
According to UKG, 83% of Gen Z frontline employees report feeling burned out, and more than a third are considering leaving. Asking people in that state to “figure out” XR on their own is a fast way to create resentment, not capability.
Training has to start early and keep going. A single walkthrough doesn’t count. People need space to ask questions, admit confusion, and say when something feels off. If you don’t listen and adapt, training turns into a checkbox exercise. Different roles need different support. Pretending otherwise is how frustration builds.
Put basic governance in place early
XR implementation suffers from similar problems to AI deployments. The more tech you use, the more data you’re going to be capturing. That’s great for business leaders looking for insights, but if teams feel like they’re being constantly watched and judged, they’re going to want to hide away. Be clear about:
- What data is captured
- Who can see it
- How long it’s kept
- What XR should not be used for
Also, try to ensure your teams have the psychological safety they need to speak up when they think something is dangerous, unhelpful, or problematic.
Equip managers properly
Managers make or break adoption for any kind of new tech, whether it’s AI assistants or a new set of smart glasses. If they’re uncertain about why the tech exists, or how to govern its usage, that uncertainty will spread to everyone else in the team.
Make sure they have a clear view of why XR readiness is important, where it makes sense to use the technology, and how to respond to pushback.
