I Finally Figured Out
the Future of Work

The end of work never arrives

Every major technological shift comes with the same prophecy: “This is the end of work as we know it.” Washing machines were supposed to eliminate housework. Computers were supposed to automate everything. And yet — we’re working more than ever.

Try this thought experiment.

Go back to medieval Europe. Explain your average Tuesday to someone living in the 13th century.

“I rise before dawn. I travel 50 miles before I start working. I dispatch 20 messages to people across the realm. I draft documents by the dozen. I study texts on every subject known to man. I speak every language on earth. I trade goods from distant lands without ever leaving my chair. Then I go home, prepare my own meals, wash my own clothes — and I help decide who rules the kingdom.”

To a medieval person, you are a serf, a cart driver, a royal messenger, a scribe, a scholar, an interpreter, a merchant, a servant, and a king. All before dinner.

You’re basically everyone in the castle.

But nobody introduces themselves as “messenger-slash-scribe-slash-merchant.” Why? Because cars, email, computers, Amazon, and Google Translate absorbed all those roles into infrastructure. They stopped being skills. They became utilities.

AI is doing the exact same thing — just to the jobs we have right now. Coding, writing, design, data analysis — these are today’s “professional skills.” But the moment AI turns them into infrastructure, “developer,” “writer,” and “designer” will sound as quaint as “scribe” and “messenger.”

Think about it this way. You can’t make a living today as a medieval scribe. Or a royal messenger. No one survives doing just one medieval job in a modern economy. The same will be true in reverse. A developer who only writes code. A writer who only writes prose. A lawyer who only files briefs. That’s a scribe insisting on hand-copying manuscripts after the printing press has arrived.

And here’s the uncomfortable part. When computers went mainstream, the jobs they augmented became white-collar. The jobs they couldn’t touch stayed blue-collar. AI will draw the same line. The jobs that work alongside AI will be the desirable ones. The jobs AI can’t replace — because they require physical human labor that no algorithm can perform — those are the ones nobody will want.

So if skills become infrastructure and single-skill jobs become obsolete, what’s left? Purpose.

Living with AI made it clear

I currently run two companies, teach as an adjunct professor, lead a research team at a think tank, write books, speak at national AI strategy committees, advise politicians on tech policy, and code — all at once. On paper, I’m the most confused n-jobber alive. CEO, professor, researcher, author, developer, policy advisor, speaker. Pick a lane, right?

My days look like this: morning — write an IT policy report for a mayoral candidate. Before lunch — create 50 presentation slides. Afternoon — develop a website. Evening — write course materials for a graduate seminar. Weekend — design an AI cheat sheet. All built personally with one AI coding tool: Claude Code.

These seem like completely unrelated jobs. But look closer and there’s one thread. Transitioning Korea’s cybersecurity to global standards. Helping therapists learn to work with AI. Building platforms so citizens can participate directly in democracy. It’s all transition. Taking something old and making it new.

So my job isn’t CEO. It isn’t professor. It isn’t developer. My job is Transition Planner. Not someone with many skills — someone with one purpose.

It took me years to see it. When AI dissolved the boundaries between coding, writing, design, and teaching, the noise cleared. And one question emerged: “Why am I doing any of this?” The answer was always the same. Transition.

Every job transforms like this

This pattern isn’t unique to me.

Take lawyers. A traditional lawyer litigates and drafts contracts. But an AI-era lawyer? She still litigates — and runs a YouTube channel teaching migrant workers their rights, auto-translates her videos into six languages, and built a victim intake app on the side. Calling her a “lawyer” undersells it. She’s a protector of the vulnerable. Litigation is just one of her tools.

Or writers. A writer used to just write. Now the same ideas flow out as books, YouTube essays, podcast episodes, newsletters, and 60-second reels. The medium doesn’t matter anymore. “Writer” is too narrow. “Thought communicator” is closer to the truth.

Developers might be the most dramatic example. AI writes most of the code now. What’s left for the developer? Deciding which problem is worth solving. The job isn’t coding anymore. It’s problem solving.

When every skill becomes accessible to everyone, the only differentiator is why you’re using them.

Skills become infrastructure

A hundred years ago, using electricity meant running your own generator. Today you just plug into a wall. Electricity didn’t disappear. It became infrastructure.

The same thing is happening to coding, writing, and design right now. You used to hire specialists. Now you talk to AI. These skills aren’t vanishing. They’re becoming as universal as electricity.

And when everyone can code, write, and design — the only question that matters is the one that no AI can answer for you: Why.

Why build this. Why write this. Why help this person. That “why” is your job.

So what do we teach the next generation?

When AI can code, translate, solve math, draw, and compose music, the meaning of what we teach in schools changes. Should we still teach coding? Languages? Math? Sure — all useful. But their value as “skills that get you a job” drops fast.

The real question becomes: “What do you want to do?” Helping someone find the answer to that question is what education should be about. Not skill training — purpose discovery.

A kid who finds their purpose uses AI as a tool. A kid who doesn’t gets replaced by it. Harsh, but real.

After purpose, the next most important thing is taste and judgment. When AI gives you 100 answers, you need the ability to tell which one is good. That comes from reading widely, seeing art, traveling, meeting people. Ironically, the most analog education becomes the most important in the AI era.

Then empathy. Every purpose-driven job has one thing in common: it’s for someone else. Protecting the vulnerable, healing minds, guiding growth. The ability to feel what other people need is where every purpose begins.

And finally, the experience of making things. The best education in the AI era is letting people build something with AI. Make an app. Make a video. Make music. In the process, they discover: “This is what makes me come alive.” Purpose isn’t taught in a classroom. It’s discovered through experience.

Old education: “Learn this skill. Then you can get a job.” AI-era education: “What do you want to do? AI will help you do it.”