A few months ago, a client asked me a question I haven’t been able to shake:
“Am I going to be looking over my shoulder for the rest of my career… waiting for AI to take my job?”
I’m team people. I always have been.
I’ve spent my career studying people and designing organizations that work better for humans.
At the same time, I've spent countless Friday nights teaching myself how to build with AI tools.
I'm navigating this tension myself.
I don't have a playbook for what work will look like in five years. Anyone who tells you they do is guessing.
But over the past year, I've noticed patterns across conversations with founders, coaching sessions, and my own experiments with AI.
I started jotting them down in my notes app.
Here are ten beliefs I’ve come to about the future of work.
Some are exciting, others uncomfortable, and a lot of them are still unfolding.
Together, they’ve shaped how I think about careers, leadership, and building right now.
1. Careers don’t have to be linear anymore
Earlier this year, a client a decade into her career said something I hear more often than people realize:
“I don’t think this path fits anymore… but I’m not sure what comes next.”
On paper, she did everything right.
But something had shifted.
Not because her career had failed, but because the next step no longer felt obvious.
Moments like this are becoming more common.
Part of it is structural. It’s the environment. The economy that shaped the old career model has changed. The incentive to climb a single ladder isn’t what it used to be. The idea that your career should move in a straight, predictable line doesn’t hold in the same way anymore.
And the job market itself is hard. It’s tougher to get a job through traditional paths alone. All of a sudden, you’re hitting a wall in the job search, realizing that what used to work (like applying) isn’t working anymore.
For others, it’s more internal. You start second-guessing the path you chose. The version of success you were working toward doesn’t feel as compelling as it once did. You start to linger a little longer on social media “career crisis” content.
Either your path needs to evolve, or there’s more than one way to get where you want to go.
For a long time, we followed a simple script: pick a path, stick with it, move up.
That script doesn’t hold anymore.
Careers are becoming less like ladders and more like a series of experiments.
Instead of forcing my client back onto a predefined path, we reframed her career through the lens of product-market fit.
Where do your skills create the most value?
What problems energize you?
Where does real demand exist?
Companies don’t grow by choosing the “right” idea. They find where what they’ve created actually meets demand, and they double down.
Your career works the same way. It moves forward when what you’re good at meets something the world actually needs. That’s product-market fit.
If you want to work through the same framework I use with clients navigating career transitions:
You can download the guide here [link].
2. AI won’t replace you. But work will never be the same.
For years, my grandpa refused to use Google Maps. He insisted he knew the roads better than any app.
For a while, he was right.
But eventually everyone else started using it, traffic patterns changed, and expectations evolved.
AI feels a little like that moment in time.
Some parts of work will be automated, especially repetitive, structured tasks
But judgment, context, and human understanding?
Those still belong to people.
The question isn't "Is AI coming?"
It's: What does my work look like now that it's here?
3. Your skills aren’t being devalued. But knowledge work is being reshaped.
Your experience still matters.
But how value shows up is changing.
Think of it like a K-shaped curve.
Some people will move ahead by recognizing where their value is shifting, and adjusting.
Others will fall behind by holding onto how things used to work.
That gap will widen faster than we’ve seen before.
The advantage won’t come from knowing the most. It will come from understanding how your work is changing.
Not in theory, but in your actual day-to-day.
What parts of your work are becoming easier, faster, or more repeatable?
What parts still require your expertise, experience, perspective, judgment, context, and ability to navigate ambiguity?
And just as importantly, what parts are you holding onto out of habit, even though they may not be where your value is moving?
It’s about seeing your work more clearly, so you can decide where to go all in, where to adapt, and where to let go.
4. Everyone will have to reskill at some point
This has always been true.
At some point in your career, the ground shifts. New tools emerge, the way work gets done changes, and what once made you valuable starts to feel less certain.
What’s different now is how often and how quickly that shift happens.
The way work gets done is being redefined in real time, and what made you valuable before won’t necessarily carry you as far for as long.
Reskilling is no longer something you do once or twice over the course of a career. It’s becoming part of how you stay relevant.
And that’s why it matters in a conversation about the future of work.
The real challenge isn’t predicting what will change, it’s recognizing it early enough to adjust.
Sometimes it’s a lack of awareness of how your industry is changing, what’s emerging, and where value is shifting.
Other times, it’s not stepping back to ask the right questions about your own work.
And more often, it’s staying in what feels familiar for too long.
That’s where people get stuck.
It’s rarely a capability issue. More often, it’s staying in what feels familiar for too long.
There’s a model called the “Comfort Zone Model” [add visual].
Growth doesn’t happen in the comfort zone, but it doesn’t come from panic either.
It comes from the stretch zone, the space where things feel unfamiliar, but still manageable.
That's where you adapt in real time, building skills that keep you relevant and expanding what you're capable of.
5. Experimentation has never been easier
The barrier to building something has collapsed.
You can test an idea in a weekend. Build tools without writing code.
Ten years ago, that would have required a full team.
When I started building layoff.coach, I was teaching myself how to build with AI: how conversational flows work, how to structure prompts, and how to use tools like Voiceflow and Claude Code to actually bring my idea to life.
My biggest takeaway from this experience? The product got better when I stopped thinking about the tech first and started from my background in career coaching.
The more I grounded it in real conversations, real patterns, and how people actually think through their careers, the better the experience became.
What surprised me most wasn’t the technology.
It was how quickly you could learn by doing.
6. But the cost of getting it wrong is higher
But this also means it's easier to get things wrong, faster, and at a larger scale.
When tools give you more leverage, they amplify both the good and the bad.
A careless prompt can publish incorrect information, an automated workflow can send the wrong message to thousands, and AI-generated content can damage trust if it goes out without review.
As tools become more powerful, judgment becomes more important:
When to automate. When to review. Where guardrails are needed. When something should stay human.
That’s why it matters to be fluent in not just using the tools, but in knowing when to use them.
You wouldn't use a fork to eat soup, it doesn't work the way a spoon does. You'd only know that if you'd used a fork enough times for what it's actually intended for. You learn by using each tool enough to understand what it can and can't do.
That’s what fluency looks like.
AI is just another tool. It has strengths, and it has limits.
The real skill is knowing when to use it independently, when to use it alongside people, and when not to use it at all.
7. We’re heading toward a founder’s renaissance
It’s never been easier to build something meaningful.
It’s also never been easier to build something mediocre.
More builders. More noise. Which means differentiation matters more than ever.
This is one of the best moments to be a founder, but not for the reasons most people think.
The role of a founder itself is changing.
At its core, being a founder has always been about identifying a gap and testing ways to solve for it. That hasn’t changed since Rockefeller was building Standard Oil in the 1800s.
What has changed is the speed at which you can do it and the leverage you now have access to.
A few years ago, being a founder meant doing as much as you could, as fast as you could.
Now, you’re building with a mix of people, tools, AI, and systems.
What used to take months can now take hours.
If everyone can move faster, the real question is: who can move fast and design well?
The game is no longer just execution. It’s how well those pieces work together.
The role of a founder is shifting from doing the work to designing how the work gets done.
And the founders who figure that out fastest will have an edge.
As a founder today, you can build your own support system: research running continuously, information organized in real time, access to different forms of expertise on demand.
The founders who design well will get better results, and your advantage will come from how well you design the systems.
8. Leadership is going to look different
The way work gets done is changing.
You're now leading teams that include people, tools, and AI.
That shifts what leadership requires.
It looks more like:
Navigating uncertainty with your team
Being honest when there isn't a clear answer and building confidence that you'll figure it out together.
Adapting without getting in your own way
Understanding your own tendencies: where you default to control, wait for certainty, or avoid what’s unfamiliar. And how that shows up in how you lead.
Start with the problem, not the tool
There's a lot of noise and pressure to adopt new tools. Effective leaders anchor themselves in the problem first and only bring in tools when they actually improve how the work gets done.
Involve the people closest to the work
Avoid making decisions about changes and new tools in isolation. Start with the people doing the work. They understand the workflow, the challenges, and what will actually improve productivity.
9. Curiosity is your new currency
The people who succeed in this environment won't necessarily be the most technical.
They'll be the ones who stay curious about: people tools systems processes workflows.
There are layers to curiosity. It’s understanding why you’re doing something the way you are, and then being willing to question it.
You’re not stuck in your ways. You’re poking at assumptions, looking for what could be improved, trying to understand what’s actually working, and what’s not working.
And when things are changing this fast, the quality of your questions matters more than what you already know.
Questions like:
Where do my skills create real value right now, and where is there demand for that?
What am I holding onto that worked before but doesn't fit anymore?
Where am I staying in my comfort zone, even though I've outgrown it?
If I rebuilt my work from scratch today, would I design it the same way, or am I just doing it this way because I always have?
When was the last time I paused to ask: is this the best direction, or does it just feel fast and productive?
10. AI will force us to be clearer than ever
AI performs best when instructions are precise.
Which means clarity becomes a real skill.
But humans don’t work that way.
Work is messy. People are emotional. Decisions unfold in gray areas.
So we’ll need to develop two different muscles:
Precision with machines Clear inputs. Structured thinking. Context. Specific instructions.
Empathy with people Emotional intelligence. Reading between the lines. Picking up on social cues, body language, and what’s left unsaid.
The challenge is knowing when to use which, and not confusing the two.
Apply machine-like thinking to people (overly rigid, transactional, and ignoring nuance or emotion), and you lose trust.
Apply human ambiguity to AI (vague inputs, unclear context), and you get poor results.
Work will require knowing when to use each muscle and the flexibility to switch between them.
This is a moment where a lot is up for grabs.
Many people look at this inflection point with fear, uncertainty, and dread.
I see opportunity.
The opportunity to open doors that didn't exist before and craft a path forward where you decide how you work, what you build, and where you create value.
The people who lean into experimenting, rethinking, and adapting will have an edge.
I’ll be unpacking these beliefs further: what they look like in practice and how they evolve as I test them in real time.
If you’re rethinking your career, building something new, or trying to stay ahead of what’s coming, follow along for what’s next.
If you’re working through any of this, we can figure it out together.
Book 1:1 time with me here [link].