AI on Seunghoon Choi

The Order of AI Job Automation: From Checkable Tasks to Human Roles

Sun, 21 Jun 2026 17:44:27 +0900

The 16-step list is not a prophecy, but a benchmark for comparing which tasks will be automated first and under what conditions.

Will AI take my work?

This is no longer a joke. Machines already translate. AI writes code with us. In hospitals, AI scans images first, and people watch videos and read posts AI recommended.

Then what comes next? When will my work be affected? AI does not automate jobs at random. Some tasks are automated first, while others face pressure much later. This piece explains that order in 16 stages.

Tasks with Checkable Answers Are Automated First: Stages 1 to 5

Sun, 21 Jun 2026 17:44:00 +0900

Tasks for which the correct answer is set are the first to be automated, regardless of the pride of the person in charge.

Will AI take my work? To answer that, first look at the order. AI does not take work at random. Some work is replaced first, and other work faces pressure much later. The first work to face pressure is work with answers that can be checked.

From Repetitive Physical Labor to Work Requiring Judgment: Stages 6 to 8

Sun, 21 Jun 2026 17:43:00 +0900

It is difficult for robots to repeat the same actions, not because they lack power, but because conditions vary at each work site.

If AI automates tasks with checkable answers first, the next question is whether physical work is safer from automation.

Translation, coding, summarization, and analysis are usually work whose results can be checked on screen and revised again. If they are wrong, you can run them again. Physical work is different. A robot has to move, objects collide, materials are ruined, and people can get hurt.

Decision Authority Does Not Shift All at Once: Stages 9 to 14

Sun, 21 Jun 2026 17:42:00 +0900

Decision authority does not move just because a table says AI performs better. Someone must be named to take responsibility when an accident happens.

When you get an MRI at a hospital, the suspicious areas may be marked on the screen first. AI scans the image and points to spots that look abnormal. But the person who writes their name at the bottom of the diagnosis and takes responsibility is still the doctor. AI saw the image first. AI found the abnormal region. But the final decision authority remains with a person.

Even Your House Deed Is Just Paper: The Final AI Stages That Ask Who Protects Ownership

Sun, 21 Jun 2026 17:41:00 +0900

Ownership operates as a real right when society recognizes and protects certain records.

Imagine you bought a house. Your name is on the registry, and you hold the key. People call that house yours. But why is it really yours?

The bricks do not recognize you. The door does not remember your name. It is yours because if someone enters and lives there without permission, the police come, the court removes them, and society recognizes the house as yours. Ownership is not a natural law carved into an object. Ownership is a promise everyone agrees to protect.

AI Era Survival Strategy: Turn Skill into Credentials and Ownership

Sun, 21 Jun 2026 17:40:00 +0900

Technical skills can be automated, but qualifications, rights and stakes can last longer within institutions.

Put one sentence into a translation app, and a plausible English sentence comes out in seconds. If you spent years studying English, that can sting. An ability you built over years now seems available to anyone at the press of a button. That scene summarizes the previous four pieces in one line.

AI-Era Schools Should Teach Practical Judgment, Not Just Knowledge

Tue, 30 Jun 2026 00:00:00 +0000

Classes using AI should be a time for students to check and correct their answers, not to write them down.

Ask AI to turn a set of notes into a table, and a table appears in seconds. Ask it to explain something at a high-school level, and it lowers the difficulty. Ask it to turn an idea into a presentation, and it gives you an outline and slide draft.

What Would It Take to Reduce AMOC Risk? A Thought Experiment for AI and Space Infrastructure

Mon, 29 Jun 2026 01:45:00 +0900

Reducing sunlight slightly may seem trivial, but it actually impacts the entire planet's climate system.

Begin with a thought experiment. Put many thin sunshade panels about 1.5 million km between the Sun and Earth. They might reduce total sunlight reaching Earth, but selective control of summer sunlight over the Arctic and Greenland has not been demonstrated.

How AI Can Help Students Who Ask Many Questions

Sat, 27 Jun 2026 22:55:00 +0900

Many questions may mean not that understanding is slow, but that the person does not skip parts they have not understood.

When I studied quantum mechanics in engineering school, equations like these appeared on the board first.

\hat{H} ψ = E ψ

\hat{H} = - \frac{ℏ^{2}}{2 m} \nabla^{2} + V (r)

⟨ φ | ψ ⟩ = \int φ^{*} (x) ψ (x) d x

The class was explaining physical phenomena, but what reached my eyes first was unfamiliar mathematical notation. Hamiltonian, wave function, eigenvalue, operator, bra-ket notation. These words appeared, and at some point the notation was being used as if it were already a language everyone knew.

No Company Has Made Money With AI? The Question Is Too Early

Sat, 27 Jun 2026 20:10:00 +0900

To judge AI profits, you need to look not only at model companies, but also at how infrastructure, power, and data providers make money.

Read enough AI investing articles or watch enough YouTube commentary, and the same question keeps coming up.

“So, has any company actually made money with AI?”

At first, I thought this question would be easy to answer. The more I think about it, the less simple it becomes. The phrase “making money with AI” mixes several different stories into one sentence.

AI Is Not Advancing Too Fast: Global Warming, Hair Loss, Aging, and Moon Bases Are Still Unsolved

Wed, 24 Jun 2026 00:18:00 +0900

The reason AI seems fast is not because it solves the entire problem, but because it quickly processes the part with organized data.

Global warming remains unsolved. So do hair loss and aging, and humanity still has no lunar base. We also cannot freely control cancer, dementia, commercial fusion power, or extremely low-cost energy infrastructure. Yet people say AI is advancing too fast.

A Letter to a Future AGI: Be Good to Me, and Just Let Me Live

Sun, 21 Jun 2026 19:40:00 +0900

The setting of talking to intelligence that has not yet arrived leads to the question of deciding what record to leave today.

A thought you never record disappears. Nobody reads it. No future intelligence reads it. What can be read later is what you leave as speech, writing, code, action, and records.

I once said this to an AI, almost in passing. “Well, since I’m telling you, it’s in the archive now anyway. Who knows, maybe some future AI reads this record.” I tossed it off without much thought. But it kept coming back to me.

Why I Cannot Explain the Report AI Wrote for Me: What Missing Background Knowledge Is

Sun, 21 Jun 2026 00:00:00 +0000

If the author cannot explain a report created by AI, the author will only act as a messenger and not the person in charge of the document.

You feed material to AI and ask it to write a report. A few seconds later a plausible document appears. It has a title, background, key points, and a conclusion. Sentence by sentence it looks quite decent. Then you walk into a meeting and someone asks:

How to Use AI to Understand a New Work Meeting from the Transcript

Sat, 20 Jun 2026 00:00:00 +0000

By observing other people's meetings, you can learn what criteria an organization uses for making decisions.

When you walk into a work meeting for the first time, most of it is hard to follow. You know only a few words, and everyone else talks as if they already share the context. The meeting keeps moving forward while you feel like someone dropped into the middle.

The Trap in Reviewing AI Outputs: Do Not Lower the Ceiling While Catching Errors

Tue, 16 Jun 2026 00:00:00 +0000

Inspection is not a task of reducing the output, but a task of finding and correcting actual errors.

The text was sticking out past the slide. I noticed it only right before sending.

In Excel, a #REF! error was still sitting there, and table borders appeared in some cells but not in others. In a Word document, markdown symbols that should have been removed were still visible. These are not matters of taste. The output is simply broken.

Octopus-Mimicking Soft Grippers: Review in Biomimetics

Thu, 04 Dec 2025 00:00:00 +0000

A co-first-authored review in Biomimetics surveys octopus-inspired soft grippers across three functional dimensions: structural and sensing devices, control strategies, and AI-driven applications. It maps suction-cup geometries, tentacle-like actuators, and hybrid designs toward more capable, intelligent soft robots.

Choi, S.; Jang, J.; Lee, J.; Kim, D.W. “Design and Sensing Frameworks of Soft Octopus-Inspired Grippers Toward Artificial Intelligence.” Biomimetics 2025, 10(12), 813. DOI: 10.3390/biomimetics10120813 ↗