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The Future Career Studio: A Concept I Can’t Stop Thinking About

It’s 8:12am on a 1st February 2026, and Eva is already on her second career.

Not her second job but her second career experiment of the week.

She’s 38, mid-career, juggling a family, a mortgage, anda mix of boredom and anxiety that comes from doing “respectable” work that doesn’t quite fit anymore. A few years ago, she would have spent months doom-scrolling job boards, second-guessing everything.

Today, she puts on a VR headset instead.

She logs into something that Xplorient has been quietly building towards for years:

A Future Career Studio.

A place where you don’t just read about a job or watch a webinar.
You are immersed in it.

You try it on.
You see how the work feels.
You see how you feel.

And then, with the help of AI and stellar design, you turn those experiments into real-world decisions.

This is the concept I can’t stop thinking about for Xplorient.

Let me walk you through a day in the life.

09:02 – The check-in: “What do you want to explore today?”

Eva logs into Xplorient’s Future Career Studio from her kitchen table.

The first thing she sees isn’t a dashboard full of charts, it is a simple question floating in an airy, calming virtual space:

“What do you want to explore today?”

She has done the basics already:

• Uploaded her CV/LinkedIn profile
• Synced some skills data from learning platforms
• Answered questions about her values, energy, constraints and non-negotiables

The system has a sense of who she is:

• 10+ years in operations and project delivery
• Am nterest in design and sustainability
• Two kids, limited time, no desire to burn everything down and start from zero

Today she answers:

“What if I moved into sustainability consulting, but kept some of my project skills?”

Her AI career guide appears beside her, not as a cheesy avatar, but as a calm, personable voice and a few simple visual cues.

“Okay, Eva. Let’s explore three worlds:

1. Sustainability consulting in a large global firm
2. Sustainability in a mid-sized company you already know
3. A portfolio path: part-time role + freelance projects

We’ll try short simulations, then reflect. Are you ready?”

She nods. The studio lights dim. The first portal opens.

09:15 – World 1: Inside a sustainability consulting pitch

In an instance, Eva is standing in a virtual client boardroom.

There’s a nervous energy in the room. Beside her, two colleagues which are AI-driven characters represent a strategy partner and a data specialist. Across the virtual table, a panel of executives from a fictional (but realistic) manufacturing company facing pressure to decarbonise.

The scenario is built from real world data and trends:

• Typical client objections
• Common data challenges
• Political dynamics that don’t show up on job descriptions

Her task?

To help steer the conversation. Ask questions. Shape the proposal.

She isn’t alone, subtle prompts appear in her field of view:

• “Try clarifying what success looks like for them.”
• “Ask about constraints such as budget, timeline, internal champions.
• “Listen for emotional cues, who seems resistant?”

She speaks. The execs respond. The conversation branches in different directions depending on her choices.

Ten minutes in, she feels something important:

• Does she enjoy this?
• Is she energised by the complexity?
• Or exhausted by the politics?

At the end of the scenario, the scene gently freezes. A quiet summary appears:

“You quickly established trust and reframed ‘cost’ as ‘investment’.
You hesitated when internal politics emerged.
Emotional state, you seemed engaged but slightly anxious.
Do you want to go deeper into this world another day?”

She decides not to explore further and portal one fades.

10:02 – World 2: Sustainability inside a mid-sized company

Next, Eva steps into a different world: a mid-sized consumer goods company.

She’s not a consultant now; she’s the internal sustainability lead.

In this simulation, she’s not in a boardroom, she’s moving through a series of quick, everyday moments:

• Negotiating with a procurement manager who’s sick of “new initiatives”
• Discussing trade-offs with finance over the cost of greener materials
• Preparing a simple story for the CEO, what’s working, what’s not, and what needs a decision

The studio isn’t trying to give her a “perfect” view of the role. It deliberately shows both:

• The rewarding parts: small wins, influence, mission
• The frustrating parts: resistance, compromise, bureaucracy

At one point, an internal stakeholder snaps at her:

“We don’t have time for this. Just tell me the minimum we need to do.”

The system logs her reaction: her voice, her choices, her heart rate if she’s opted in.

After the scenario, her AI guide gently debriefs with her in a quiet virtual space that looks nothing like an office:

“You stayed calm under pressure.
You shifted the conversation to shared goals.
You seemed more emotionally grounded in this environment than in the consulting scenario. Interesting.”

Eva notices it too that she liked being inside the company, not always on the outside pitching.

11:07 – World 3: The portfolio path

The third world is less defined, because so is the path.

Here, the Future Career Studio does something different, instead of a single “job world”, it offers a montage of days and weeks, stitched together from real patterns of portfolio workers:

• A few days a week in a part-time sustainability role
• Occasional freelance projects for purpose-led startups
• Time blocked for learning, family, deep work

The simulation shows calendars, not just characters.
It lets her “feel into” rhythms:

• How does it feel to switch contexts?
• How does variable income land with her?
• Does she like the mix of autonomy and uncertainty?

She isn’t just watching. She makes decisions:

• Which projects to accept
• How to price her time
• When to say no without guilt

The system keeps asking subtle, reflective questions:

“How did that choice feel?”
“What worried you most in this sequence?”
“What energised you?”

By lunchtime, she hasn’t “chosen” a career.

But she has a pros-and-cons list supported by data.

12:30 – The reflection: “What did today teach you?”

After a break, Eva returns to the studio for a reflection session.

Her AI guide summarises, not just in metrics:

“Based on today’s explorations:

• You seemed energised by working on sustainability from within an organisation, with long-term relationships.
• You enjoyed complex conversations, but preferred ongoing collaboration to one-off pitches.
• The portfolio path appealed, but income variability spiked your stress.

Would you like to explore:

• Internal roles that blend sustainability with operations?
• Or a ‘safer’ bridge into a portfolio path with a guaranteed base income?”

This is where the Future Career Studio blurs into the real world.

On a side panel, she now sees:

• Real job examples that roughly match the patterns she liked
• Skills gaps, with concrete learning suggestions
• A “small experiment” button: things she can try in the next 30 days without quitting anything

Things like:

• “Shadow a sustainability lead in your current company for a day.”
• “Run a small internal project to measure and improve one process.”
• “Take a short course on impact measurement and present your learnings to your team.”

The studio’s core philosophy is simple:

Don’t just fantasise about a new career.
Prototype it. Safely. Iteratively.

The simulations are the door.
The real world is where the story actually unfolds.

Why this concept matters to me

I keep coming back to the idea of a Future Career Studio because our current system is, frankly, not working for a lot of people:

• People are told to “follow their passion” with almost no safe way to test anything.
• Careers advice often collapses into personality quizzes and generic job lists.
• Job descriptions are poor proxies for what a role feels like day-to-day.
• Mid-career professionals feel stuck between “stay and settle” or “burn it all down”.

XR + AI give us a new set of tools:

• XR can simulate environments, conversations and day-to-day realities in a way text never can.
• AI can personalise, adapt, and help interpret what your reactions might mean for your next step.

Put them together thoughtfully and you don’t get a gimmick.

You get a studio.
A place to design your next chapter with more information, more experimentation and more humanity.

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This isn’t about predicting your future

A Future Career Studio isn’t there to say:

“You are a [Job Title]. Here is your destiny.”

It’s there to help you:

• Explore multiple worlds, not just one
• Pay attention to how you think, feel and behave in each
• Turn those insights into small, real-world experiments
• Gradually move towards work that fits your life, not someone else’s template

Careers will always be messy.
But the process of exploring them doesn’t have to be blind.

So, what’s next?

At Xplorient, this is the direction I’m obsessed with:

• Building immersive, honest simulations of work
• Pairing them with smart, kind AI guidance
• Integrating all of it with real opportunities and practical next steps

We’re not building a fantasy escape.
We’re building a studio for your future: a place to try things on, learn, and come back again and again as your life evolves.

Because in 2026, I’d love it if more people like Eva could say:

“I didn’t just think about a new career.
I visited it, tested it, and then I built a bridge.”

And if that idea sparks something in you, as a professional, an employer, an educator or a partner, I’d love to continue the conversation.

Would you step into a Future Career Studio? And what’s the first world you’d ask to explore? Share your thoughts in the comments section.

Stranger Things, 80s nostalgia and why immersive tech feels oddly familiar

Confession: I’m a child of the 80s.

I grew up on a steady diet of a commodore 64, pacman, walkman, VHS, arcade machines, care bears, neon stationery, Goonies and big TVs with huge backs and much more. So when Stranger Things arrived, it didn’t just feel like a show, it felt like someone had opened a portal straight back into my childhood.

The Upside Down in Stranger Things is a shadow reality that is accessible through the right portal. Which, when you think about it, seems a lot like Extended Reality (XR)

The Upside Down as a (slightly slimier) version of XR

The hit show on Netflix, Stranger Things has returned for its final fifth season.

In Stranger Things, the Upside Down is:

• Always there, layered over the existing world
• Invisible to most people
• Accessible through specific gateways
• Full of strange creatures and unexpected dangers

In XR, whether that’s VR, AR or MR we’re also building:

• Layers of reality that exist alongside the physical world
• Experiences that only appear when you put on the right headset or hold up your phone
• Portals into new environments: a virtual office, a training simulator, a mixed-reality game on your kitchen table

The big difference, thankfully, is that XR doesn’t usually come with Demogorgons, well I suppose it does if it’s a Stranger Things XR game.

But for those of us who grew up in the 80s, XR might feel intuitive because we’ve been training for it our whole lives:

• Swapping game cartridges could equate to switching apps
• Arcade machines could be comparable with shared immersive spaces
• Rewinding and fast-forwarding “Back to the Future” on VHS, imagining different timelines and “what if” futures, was basically early worldbuilding training for our brain

XR just turns those imagined worlds into something you can see, hear and interact with.

From Hawkins basements to headsets: why this matters for work

It’s easy to file XR under “fun stuff” games and entertainment.

But just like the kids in Hawkins discover the Upside Down is connected to everything, XR is quietly wiring itself into work, learning and careers:

• Virtual Reality is being used for soft-skills training, safety exercises and complex procedures
• Augmented Reality overlays instructions, data and 3D models onto real-world equipment
• Mixed Reality lets teams collaborate around the same holographic model, even if they’re on different continents.

XR isn’t just the next entertainment platform; it can be workspace, not a replacement for the real world, but an alternative and complementary space where work can actually happen.

We’ve already moved from in-person communication in physical offices to virtual platforms like Teams and Zoom. In the coming years, immersive portals might become more commonplace, for example:

• Simulated workplaces where you can safely try a new career
• Immersive training environments that feel more like playing than being lectured at
• Virtual project spaces where freelancers and teams from all over the world can collaborate as if they’re in the same room

It’s the Upside Down, but for good.

Why nostalgia might be XR’s secret superpower

Being a child of the 80s actually helps here.

We remember what it felt like the first time we:

• Saw 3D graphics that didn’t look like chunky blocks
• Plugged in a games console and disappeared into another world for hours
• Watched films like Tron or Blade Runner and thought: “Imagine if that was real…”

XR is basically the grown-up, upgraded version of those fantasies.

The real Upside Down: a flipped model of work

In Stranger Things, the Upside Down is our world but flipped.

XR gives us a chance to flip things too. For example:

• Instead of choosing a career from a list, you can step into different roles in VR and see what fits
• Instead of reading a PDF about safety, you can practice in a simulated environment
• Instead of “you must be in this location, at this time, with this company”, work can become more fluid and location-agnostic

Closing the portal

XR isn’t perfect. The hardware still needs work. The content ecosystem is evolving. And no, your next team meeting doesn’t have to happen in a virtual 80s arcade (although… now I’ve said it, that would be interesting to try).

But for those of us who grew up in the glow of the old style TVs and arcade screens, the fact we can now literally create layered realities feels less like sci-fi and more like a natural sequel.

The question isn’t “Is XR just hype?” It’s “What kind of worlds do we want to build on top of this one and who gets to go through the portal?”

If you’re curious about how XR could help people test-drive careers, learn new skills or rethink what “workplace” even means, that’s a project I’m currently working on and you can find out more information here.

And if you’re also a fellow child of the 80, you already know, the adventure really starts when someone says, “Don’t go in there.”

We go anyway.

There are differing opinions on whether completing an MBA is worth it or not for myriad reasons.

I started in the world of work 25 years back in 2000 when I worked as a Saturday retail sales assistant. Since then I’ve completed a few degrees from the University of Leeds, worked across corporates, startups and everything in between and founded my own ventures. I’ve also completed various accelerators, bootcamps, trainings and courses. And yes, I use AI every single day.

So why, in 2025, am I committing to a part-time online MBA with an AI specialism from a university in Silicon Valley?

This post is my answer, and maybe a useful reflection if you’re mid-career and wondering whether formal education still has a place in an AI-first world.

The long-standing “MBA itch”

Well I’ve wanted to do an MBA for a long time.

During my working life so far, I’ve experienced working in a variety of job roles, for different companies across industries and sectors with a range of company cultures, leadership and management styles. I have significant business development experience including a specialism in bid management where I’ve helped win business.

Along the way I also.

• Founded and co-founded ventures.
• Attended startup and business programmes and bootcamps online and in-person.
• Tested business ideas, and watched markets shift.

All of that gave me strong practical business acumen. But it was also quite non-linear. I always had a sense there were gaps in my knowledge especially around leadership at scale, strategy, and understanding emerging tech like AI in a structured way.

The turning point: seeing the MBA from the inside

In June 2024, one of my business coaches personally recommend me as a panel member evaluating business pitches from full-time MBA students.

These students had been working in teams on a business plan as part of their “Developing an Innovative and Entrepreneurial Mindset” module. I spent tine listening to their ideas, asking questions, and providing feedback.

It was a bit surreal: I wasn’t an MBA student, I was helping assess them.

Two things clicked for me that day:

1. I realised how much I’d already learned through work experience, accelerators, and ventures.
2. I also saw how powerful a structured programme can be.

That experience made me want to go deeper into understanding the business field but in a way that fit the reality of my life and career stage.

Why not “just use YouTube, MOOCs and AI”?

Yes, there is an incredible amount of free content out there. You can watch lectures on YouTube, take open courses from top business schools, and ask tools like ChatGPT to explain almost any concept.

But at this stage, I realised I didn’t just need more information. I needed:

• Structure – a coherent pathway through complex topics, not a random playlist of saved links.
• Accountability – deadlines, deliverables, and the expectation that I will show up and do the work.
• Depth – going beyond summaries to apply ideas to real problems and get feedback.
• Community – peers and faculty challenging my thinking, not just algorithms recommending my next video.

My MBA isn’t a magic ticket. But the environment it creates, the modules, projects, discussions and reflection, is something I simply wasn’t going to build for myself in a consistent, disciplined way while juggling work and life. It’s a lot of work, but I’m genuinely enjoying the process.

Why an AI-focused, part-time, online MBA, and why now?

These are the main reasons this specific format made sense for me:

• I want to broaden my strategic perspective and sharpen my leadership skills. A formal business qualification is part of that transition. Not because letters after my name change anything, but because the process forces me to think, decide and operate at a different level.
• AI isn’t a side topic anymore, it is the topic. AI used to be a niche interest; now it shapes almost every industry. I didn’t want a generic MBA with one “innovation” module bolted on. I wanted a programme with an AI concentration built in, where I can explore modules such as Legal & Ethical Dimensions, Organisation & Management Theory, Global Operations Management, Tech, Design & Innovation, Business Strategy, AI Governance & Ethics, Managing AI Projects and much more. Studying through a university based in Silicon Valley adds another dimension, proximity (even virtually) to the ecosystem where many of these tools are being built and tested.
• I can keep working (and experimenting) while I study. A part-time, online format was non-negotiable. I wanted to keep my day job, continue building and testing ventures, and apply what I learn in real time to deals, projects and experiments. The manageable, modular structure means I can balance study around work. It’s intense, but it’s sustainable.
• It aligns with who I am: a lifelong learner. If there’s a consistent thread through my career, it’s this: I love learning. From accelerators to short courses to self-directed experiments, I’ve always invested in my development. The MBA isn’t the start of that journey, it’s a continuation and an upgrade.

So is an MBA “worth it” in the AI era?

For me, the answer is, only time will tell.

An MBA isn’t automatically worth it. But I think if you:

• Have meaningful work experience already.
• Know roughly what you want the next 10–15 years of your career to feel like.
• Choose a programme that aligns with specialisms such as AI.
• Intend to actually use the tools, network and perspective it gives you.

Then an MBA can still be a powerful catalyst.

Free content and AI tools are incredible. I use them daily. But they haven’t replaced the value of structured, demanding, guided learning. If anything, they make it even more important to have a clear framework for how you think, decide and lead.

I didn’t choose a part-time online MBA with an AI specialism because I believe old models of education are perfect.

I chose it because I believe the future belongs to people who can:

• Combine deep experience with fresh thinking.
• Speak both business and technology.
• Learn continuously with and alongside AI.
• Lead people through uncertainty, not just optimise what already exists.

That’s the leader I’m working on becoming.

If you’re mid-career and wondering whether more formal study still has a place in your journey, I’d love to hear your thoughts and questions. This path isn’t for everyone but for some of us, at a certain moment, it’s exactly the right kind of stretch.