Hello, this is Planner H. A lot has changed over the past year. The biggest shift: spending around 500,000 won (roughly $350) a month on AI subscriptions has become a perfectly normal expense. It felt steep at first, but once you've experienced doing the work of five people by yourself, it stops looking expensive. A polished website gets built in a day, a report comes together in 30 minutes, and design drafts arrive five at a time. The 500,000 won justifies itself.
If you've come this far, you're now standing in front of the next question.
"What am I going to do with this tool?"
And the answers to that question are starting to diverge. Which path you take is what makes the difference.
Three Kinds of People Are Starting to Emerge
Faced with AI as a tool, people naturally split into three groups.
The passive user. This is the person who uses the convenient features AI makes possible. They polish emails with ChatGPT, generate images with Midjourney, and tidy up reports with Claude. They take the value the tool offers and use it as given. And they stop there. There's nothing wrong with this position. It's the starting point of the AI era. But a starting point is not a destination.
The active user. This is the person who uses AI to cut costs and raise productivity. They reduce outsourcing and handle the same workload without adding headcount. They save time, save on labor costs, and the savings show up as visible results. This is the fastest-growing position right now among Korea's solo founders, small teams, and small businesses. And frankly, it's also the easiest path.
The ultra-active user. This is the person who uses AI to create new revenue. Going beyond cost savings, they build the new services, new products, and new markets that AI has made possible. There's a single word for this person: entrepreneur. This is the hardest position. It also carries the biggest reward.
Cutting Costs Is Easy. Creating Revenue Is Hard.
Why are active users everywhere while ultra-active users are rare? Because the two paths differ in difficulty at a fundamental level.
The cost-cutting path is clear. You can already see which work you're outsourcing, which tasks eat up time, and which jobs require extra hands. You slot an AI tool into those spots, and the results are measurable immediately. If you spend 500,000 won a month and cut 2 million won in outsourcing fees, that's a clean 1.5 million won (about $1,100) in profit.
The revenue-creation path is nothing like that. You get stuck at the very first question: what should I even sell? Do a little market research and something similar already exists. Even when a fresh idea strikes, the thought creeps in — "If I can build this so easily with AI, anyone else can build it too." Fall into that loop, and execution itself grinds to a halt.
There's another trap here. Cost-cutting delivers instant gratification — visible results month after month. Revenue creation doesn't. You can grind for six months with zero sales, and enduring six months of that uncertainty is the hardest part of all.
So the easy path and the hard path are clearly marked. And most people choose the easy one. Which is, to be fair, the rational choice.
Three Choices for the Woodcutter With a Golden Axe
Translate this situation into a fable — borrowing from the old Korean folktale of the woodcutter offered a golden axe — and it goes like this. One day, every woodcutter is handed a golden axe. It chops five times faster than an iron axe. The handle is lighter, too. Pay 500,000 won a month, and you can keep using it.
Three options now sit in front of the woodcutter.
The first choice. Just chop wood with the golden axe. Someone who used to fell 50 trees a day now fells 250. Income stays the same while working hours shrink — or hours stay the same and income grows fivefold.
This is the passive choice. You take the efficiency the tool offers and use it as is. Rational, immediate, safe. But it only works for a short while, because every woodcutter got a golden axe. A year later, everyone is felling 250 trees a day, and the price of timber falls to 20 percent of what it was. You're back where you started.
The second choice. Use the golden axe to find more efficient ways to work. Move to better cutting grounds, build a system for hauling the felled timber, gather fellow woodcutters and divide up the labor. With the one golden axe you were given, you redesign the entire system.
This is the active choice. You extract more value from the same tool. It's the path of cost savings and maximized productivity — one level deeper than the first choice.
The third choice. Look at the golden axe differently. Ask, "What more could this axe make possible?" You decide you're no longer a woodcutter — you're going into business. You make axe handles and sell them to other woodcutters. You analyze the timber market and sell intelligence on where wood fetches the highest price. You start a brokerage that collects the timber other woodcutters fell and wholesales it to furniture factories.
This is the ultra-active choice — the entrepreneur's path. Not doing the work better with the tool, but building the new businesses the tool has made possible.
Who Ends Up Where
No one can declare which of the three choices is the right one. But each position means something different and leads somewhere different.
The passive position soon becomes the baseline. People who don't use AI become rare. No differentiation happens there, because everyone is using the same tools. A year or two from now, this position simply means "fall behind if you don't use AI" — and nothing more.
The active position creates meaningful differences. Even with the same AI, how you use it changes the outcome. The gap widens between people who design their workflows well and people who don't. It's also where small companies that trim labor costs and lift margins survive in the market. But there's a ceiling: costs can't drop below zero. At some point the savings flatten out, and that leads straight to stalled revenue.
The ultra-active position creates new revenue streams. This position isn't bound by the cost ceiling. It builds new markets, finds new customers, and launches services that were impossible before AI. The risk is bigger — and when it works, the reward isn't comparable to the other two positions.
These three positions are not a hierarchy. Each suits a different kind of person. But you have to consciously decide which one you want to occupy. Left to drift, most people stay passive.
Why People Never Make the Ultra-Active Leap
There's one excuse you hear most often from people who never get to monetization.
"Anyone could build what I built."
Repeat that thought endlessly and execution stops. And in truth, the thought is half right and half wrong. The right half: in an era when AI is everywhere, replicating a simple feature has become easy. The cost of cloning a tool someone else built has fallen dramatically.
But that doesn't mean everyone builds everything. The gap between being able to build something and actually building it remains wide. The market always has those "why has nobody made this yet?" pockets, and most of them get filled the moment someone starts building.
Real differentiation isn't the feature itself. It's who you built it for, what context you embedded it in, and what trust you've earned. The same AI writing tool is a different product when it's built for solo business owners versus built for publishing. The same automation workflow is a different business when it serves hair-salon owners versus lawyers.
In an age of easy replication, differentiation happens at a finer grain. Finding that grain is the entrepreneur's job.
First Steps Toward Ultra-Active
For anyone who wants to take the monetization path, there's a realistic place to start.
Re-examine the problems you're already solving with AI. Write down where you use AI every day. Somewhere on that list is a problem other people share. Polish the way you solved it so others can use it too — that's your first product.
Start with one customer. Don't draft a grand business plan. Find one person around you with a similar problem and help them directly. Free is fine. That one person's reaction becomes the clue that leads to your second customer.
Spend part of your savings on experiments. Don't pocket all the time and money AI saves you. Invest a slice of it in new attempts. Only by running the failed experiments quickly do you spot the ones that work.
Test one hypothesis for six months. Don't juggle several ideas at once. One hypothesis, one customer segment, one product — focus there for six months. If revenue materializes within that window, expand. If it doesn't, move on to the next hypothesis.
Execution beats deliberation. The person who builds something and shows it to one person finds answers faster than the person who keeps wondering, "Will this sell?" A simulation in your head can't beat a single reaction from the market.
The tools of the AI era have been handed out equally. Anyone can buy a Claude subscription, a ChatGPT subscription, a Midjourney subscription. Their performance is nearly identical. And yet the results produced by people holding the same tools keep pulling further apart. The difference isn't the tool — it's what you do while holding it.
Being a passive user who enjoys the tool's convenience. Being an active user who cuts costs and raises productivity. Being an ultra-active user who builds new businesses. All three are legitimate choices. But one thing is certain: if you don't decide which position to occupy, the market will decide for you. And the market's verdict is usually passive — because it's the most comfortable place to be.
What will you do with the golden axe you've been handed?
Just chop wood faster?
Build a system around the axe?
Or start a business beyond the axe altogether?
The answer to that question will determine where people holding the same tools end up. The fact that AI is now in everyone's hands is only the starting point. Which direction you walk from there differs from person to person. The next step isn't buying more tools. It's deciding where you want to stand.
