Why AI is rewarding expertise with range—and what that means for how we hire and build teams.

Scan the headlines for five minutes, and you’ll get the gist: AI is coming for our jobs. Whole careers, suddenly on shaky ground. You can panic if that’s your style. Or, if you’re feeling zen, maybe just retire early.

I’ll admit, it rattled me too. The kind of 2 a.m. worry that lingers until your alarm finally wins. I’ve spent two decades getting paid to do one thing: write. Now there’s a tool that says it can do the same.

But once the panic faded and it was obvious AI wasn’t going anywhere, I started looking closer. At the headlines and at the data underneath. What I found told a different story. Will career paths shift? Almost certainly. Is AI replacing expertise? Not quite.

If anything, AI is raising the bar.

Want proof? Let’s start here: AI can generate content. But insight? Not really. Can it write? Kind of. We can think of AI as a solid editorial intern—but spinning sentences into bits of literary gold—not-so-much.

There’s a difference. And it matters.

According to McKinsey & Company, generative AI could automate up to 60–70% of tasks across many jobs—but not entire roles. The highest-value work left behind? Judgment, creativity, and decision-making. The World Economic Forum says the fastest-growing skills aren’t simply technical. They’re analytical thinking, creativity, resilience, flexibility, curiosity, and a willingness to keep learning. In short, the work that remains is the work that requires range.

All Rise For The Multi-Hyphenate

For decades, we’ve been told to pick a lane, specialize, and climb, climb, climb. But that model depends on stability. And stability is exactly what AI is shaking up. So now what?

Research from Deloitte shows that organizations are increasingly shifting toward skills-based models, where employees are valued for what they can do across contexts rather than just their job title. IBM says 40% of the global workforce will need to reskill in the next three years thanks to AI and automation. That means we’re leaving behind the rigid systems of the industrial age and moving into something more fluid. Welcome to the multi-hyphenate era.

This isn’t about dabbling. It’s about people who can connect interests, knowledge, and experience in a way that goes deeper.

Lawyer-Environmental Scientist

Fine Artist-Pathologist-Historian

Mechanical Engineer-Musician-Game Developer

Theologist-Designer-Analyst

What were once side quests have become real advantages. As work and the world get more complicated, being able to move between domains and connect the dots only gets more valuable.

For some, this shift feels natural. For others, it’s a relief. Because traditional career paths never fit every way of thinking, especially for neurodivergent people whose strengths don’t match the usual mold. Nonlinear thinking, quick ideas, pattern-spotting, comfort with ambiguity. These traits have often been overlooked at work.

Now, those same traits are exactly what modern work needs. Harvard Business Review points out that neurodiverse teams can be 30% more productive in some problem-solving settings. It’s an era of expanding what counts as valuable thinking. And that’s a good thing.

Newsflash! Many Specialists Are Already Multi-Hyphenates

This is where my thinking shifted. Somewhere between the headlines, I realized I’m a copywriter. That means jumping into new industries quickly, translating complicated ideas into something clear, and switching between tones, audiences, and goals on the fly.

At any moment, I might be building a tourism campaign, writing for healthcare regulations, or shaping thought leadership on education reform. That’s called Researcher, Strategist, Interpreter, Creator—all rolled into one. Copywriters have always been multi-hyphenate by design, and it’s not changing anytime soon.

But What Does it All Mean?

If you’re building teams, this shift to AI and multi-hyphenate talent matters. The old question was, who’s the deepest expert in this one thing? Now it’s who can connect the dots across functions and move between them when it counts? Work, and the people doing it, don’t fit into neat boxes anymore.

Here’s how this plays out in my work. Most organizations think they have a messaging problem. Really, it’s a translation problem. Brand voice might be strong at the top, but it can break down as it moves through the funnel—across teams, channels, regions, and AI tools. Why? Because keeping a strong, consistent brand voice now takes strategy, cross-functional know-how, editorial judgment, and the ability to adapt fast—without losing clarity. In other words: multi-hyphenate thinking.

AI and the Multi-Hyphenate Opportunity

AI will take our careers in directions we can’t predict. Skilled professionals will remain, as it shows the gap between single-lane operators and those who can move across many. The edge now goes to those who synthesize, adapt, and bring a unique perspective—not just those who execute deeply.

So after all that time wondering if AI would make me obsolete, it turns out my whole career has been training for this moment. Not because I mastered one thing, but because I have always had to delve into more than one.

Here’s the takeaway: in an AI-driven world, the biggest advantage goes to people who move fluidly across domains and blend a range of skills. Specialization isn’t enough anymore. Success depends on range, adaptability, and the ability to connect insights from different fields. A multi-hyphenate mindset isn’t something to hide. It’s how you thrive.