What on Earth is an "AI Employee"!? AI Literacy Education and Exam Strategies for the Home in the AI Era

An era where you hire AI, not people, as employees

Announcing a New Way to Create "AI Employee"

translated, means “Announcing a new way to create 'AI employees'”. What do you think this sentence is about?

2026. If you are a middle school, high school, or university student reading this right now, you are likely sitting at your desk every day aiming to pass your entrance exams. Or perhaps you are a parent supporting your precious child, hoping that their future will be as advantageous as possible.

However, the society that awaits you beyond the difficulty of the "entrance exams" you are currently fighting is undergoing a massive transformation at a speed that is unimaginable, even at this very moment.

As you all know, Japan's working-age population is steadily declining. By the mid-2030s, when today's teenagers graduate from university and take on core roles in society, Japan's labor shortage will likely reach a critical phase that makes the current term "labor shortage" seem mild. In the midst of this, a revolutionary concept has been born in the world of technology. It is,

"AI Employees."

This is not just a future prediction, nor is it a boring sci-fi movie coming to Netflix soon.It is a "reality" that has already begun in 2026.In this article, I have summarized the reality of autonomous AI that is already upon us, what can be done at home in response, and what students should think about and do. I hope this will be helpful to someone.

The impact of "AI Employees" and "AI Teams" where one person exerts the power of 1,000

Lindy, a highly anticipated AI startup in the U.S., made a shocking declaration to the world on its company blog.

"The future of business ultimately depends on how you manage these 'AI teams.'"

The platform they announced is astonishing. Without any programming knowledge, anyone can create their own "AI employee" in just 30 seconds,create their own "AI employee". Moreover, these AIs do not act alone. As "Societies of Lindies," theyform teams, hold meetings with each other, collaborate, and work autonomously as an organization.

The features of AI employees touted by Lindy completely transcend the realm of conventional tools.

1. Overwhelming speed: Completes work that takes humans days in just minutes.

2. Cost is almost zero: No recruitment costs, monthly salaries, or social insurance premiums required.

3. Infinite endurance: Maintains peak performance 24/7, 365 days a year, without complaining or taking breaks.

4. Infinite scalability: Even if customers increase from one to one million, you can increase your "AI employees" with the push of a button.

Lindy concludes as follows:
"You are no longer bound by the size or financial power of an organization. With just one PC and your own AI team, you can have as much influence as one of the world's largest companies."

Lindy is just one example, but global AI utilization is shifting in this direction, and it is highly likely that this will become the "new rule of society" that is definitely waiting for you beyond the difficult math problems and English vocabulary memorization you are currently working on.

The true nature of AI changed by the "Anthropic Shock"

Why did this suddenly become possible? The background lies in a technological leap that occurred in February 2026, known as the 'Anthropic Shock.' The new model announced by Anthropic, a global authority in AI safety research, fundamentally overturned the common sense of AI up to that point.

AI until now was, so to speak, a 'high-performance dictionary' or a 'convenient translator.' It was strictly a 'tool' that would answer if we asked it a question. However, the latest AI is different.If given a 'goal,' it can set its own 'plan,' choose the necessary 'tools,' 'fix' errors itself if they occur, and finish the final 'deliverable.'

In other words,AI has evolved from a 'tool' into an 'entity (agent)' that works alongside us.This shift does not simply mean that administrative work will become easier. It means that the very social structure we have taken for granted—where 'humans form organizations and divide roles to work'—will no longer be viable.

What the 'workplace' will look like in 5 to 10 years

What will the workplace look like in 5 or 10 years? Predictions from famous research institutes are as follows.

1. 5 years later: 2031 - 'People who cannot master AI' will lose their place

By the time you are a university student or in your first year of working, the landscape of office work will have changed completely. Marketing research, legal contract reviews, HR document screening, and accounting journal entries—these 'intellectual tasks with correct answers' will have almost entirely shifted to AI. A cruel disparity will emerge here. Between 'people who can give instructions to AI and evaluate/correct the results' and 'people who have their work taken by AI and don't know what to do,' a wall of productivity will stand that makes current differences in academic deviation scores seem insignificant.

2. 10 years later: 2036 - The disappearance of the concept of an 'organization'

By the time you are approaching 30, companies and organizations may no longer need to be 'large groups.' The reason current companies have 'sections' and 'departments' is that communication and meetings between humans take time. However, with AI employees who have zero information transmission costs, it is a valid prediction that a few elite individuals and hundreds of AIs could generate profits equivalent to a massive corporation.

The advantage of being an employee at a large company will fade, and I believe an era is coming where individual ability—'what can I do?' and 'what kind of AI team am I leading?'—will determine everything.

Updating the criteria for choosing a target school

In an 'era where AI has employees,' what should the criteria for choosing a university be? Choosing a school based solely on deviation scores carries risks like never before.

Where are the 'faculties strong in AI'?
'It's the AI era, so choose an information faculty' is half correct and half insufficient.

1. Science faculties on the 'AI creation side':

Data science, mathematical science, computer engineering. These are on the side of designing the 'engine' of AI, and demand will remain high. However, because AI will start writing the code itself, 'mathematical originality' will be required more than mere programming skills. You will need to be able to explain deeper layers through mathematical logic.

2. Humanities and sciences integrated faculties on the 'AI usage side':

Business administration, psychology, sociology, design studies. From now on, the ability to design 'how to move AI employees so that humans are happy and profits are made' will be important. Faculties and departments with a hybrid perspective, such as 'AI x Psychology' or 'AI x Business,' will be the main battlegrounds of the future.

Just as in this day and age, it doesn't matter if you are in the humanities or sciences, your gender, or your age when looking something up on Google, the era is fast approaching where AI will also have nothing to do with whether you are in the humanities or sciences, and will instead demand to know how you use it.

The 'expiration date' and 'true value' of academic background

In the past, academic background was 'proof of knowledge.' However, academic background from now on will be 'proof of study habits,' showing 'what kind of person you are who can continue to update yourself in an environment of intense change.'Rather than the university name, I believe it is better to prioritize the 'quality of the environment (community),' such as 'how many professors and students are taking on interesting challenges at that university, and whether there is an environment that allows for that.'

When thinking about job hunting, this can be a major weapon from the perspective of 'differentiation from others.'

The three pillars of 'AI literacy education' that can be done at home

If you have small children, here are some points for home education in the AI era that I would like parents to start practicing today.

1. Praise the 'question,' not the 'answer'

When your small child is studying and asks, 'What is the answer to this problem?', instead of teaching them the answer immediately, please have them look at the 'question' in the background by saying, 'Why do you think this problem is asked in this way?'
Deepening your understanding of a problem becomes the 'ability to formulate questions' in the AI era, and it becomes the greatest added value. The earlier you practice this, the more your thinking will develop.

2. Actively expose them to the 'latest AI'

Keeping ChatGPT or image generation AI away from children because it has a 'bad influence' is the same argument as 'using a calculator will make you unable to do calculations.' As you are aware, that is absolutely not the case.

Rather, I think it is fine to let them use AI to the fullest for homework assistance (of course, while following school rules) and as a partner for independent research. Having the real-life experience as a child that 'AI can also make mistakes' and 'AI's intelligence changes depending on the instructions' is worth more than 100 hours of classroom learning.

3. Increase analog assets called 'experiences'

AI has all the knowledge on the Internet, but it cannot experience 'the frustration of losing a match,' 'the clear air on top of a mountain,' or 'the excitement of seeing a spectacular view.' How many of these 'hard-to-verbalize experiences'—such as experiences using the five senses, conflicts with people, and gritty efforts—you have accumulated will become your 'depth as a human being' when you command AI in the future, and I think that is what will lead to differentiation from others.

Current studies should become the 'perspective' and 'yardstick' of the AI era

The passage of classical literature or the complex calculus problem that an examinee is solving now. It may rarely be used directly in work in the future. However, what you are acquiring through entrance exam study is the 'ability to organize unknown information, construct logic, and persistently derive the correct answer.' This can become the 'perspective' and 'yardstick' for leading 'AI employees' in the future.

The wish for 'peace of mind' becomes a risk

I feel that parents pushing their 'past success experiences' is no longer meaningless, but actually harmful.

If you join a major IT company, you are safe for life
If you are a civil servant, you are stable

These words may be obsolete by 2036. I believe what is truly necessary is to bestow the 'confidence to learn on your own and update yourself no matter what happens.'

Make an employee called AI your ally and create new work that no one has ever seen before. I think it would be ideal if we could foster the strength to look forward to such a future at school and at home starting now.

From my perspective as an IT engineer, I have written an in-depth article in as simple terms as possible about the future changes in social structure caused by AI, and hints for university selection and early childhood education for parents with examinees or small children based on that. I would be happy if you could read that as well.