This is a short conclusion as of February 2026.
In the AI era, senior people (those with ability and manpower) do not need to worry. Because human ability and experience are combined skills that AI still cannot replace.
I still say the same thing:
“Engineers will definitely still have work. Frontend will become even more important. People who build applications will never be unemployed. The only question is who you build for. Demand will only increase.”
Now I will share three key points I see.
Changes in Company Structure
I believe there are several direct impacts and results.
All or Nothing
All
If a company does not have people with this new ability, it will go backward. Such companies will first declare that “agents are useless.” The company structure and staff will still exist. People will still receive salary. Everything looks normal.
But you will realize: The company making money has nothing to do with you.
Nothing
Entire departments may be removed.
Simply put: Now one person can function as a whole team.
There may no longer be a marketing department. Instead, one marketing leader manages many marketing agents.
One person can work like ten people. Ten people can equal what used to be a 100-person company. Revenue can reach hundreds of millions. Everyone is happy.
The “Efficiency First” Myth
“Efficiency” alone becomes a fake topic.
Increasing speed is not enough. What matters is results.
Before, people analyzed data, ran ads, handled digital tasks. Now AI agents can do all of that — and do it well.
If a human’s only role is to “take the blame,” then that is all they will end up doing.
Willing to Believe
You must believe first to move forward. You must believe before you can see.
Unless you have already seen it.
When belief is strong enough, making money and expanding becomes natural.
In the past, expansion meant growing the team. Now expansion means who can efficiently use tokens and burn tokens.
Antifragile Thinking
Being antifragile means acting now causes less loss than doing nothing.
Back to the main point:
“Whoever can continuously burn enough tokens efficiently will win.”
While you hesitate over spending a few hundred or a few thousand dollars to register something, many companies are already quietly burning tokens.
They are training their digital consultants, digital assets, and digital systems. They are feeding agents as digital nutrients to every key person — unless there is an extremely serious data leak risk.
Doing something loses less than doing nothing.
This game must be top-down.
You can add many agents, add AI, build teams — but execution speed always gets stuck at people.
So AI adoption must be top-down.
Maybe 1% can succeed bottom-up, but that is too slow.
As people say: The ones responsible decide the speed of execution.
Leaders must personally do it with the team.
“Digital Work” Becomes Result-Based
All digital work — writing, media, design, research — will be judged by results.
More directly: Vertical focus is better.
Focus deeply. Focus enough to build your moat.
Like what we are doing with cymkube.com — vertical, real, manufacturing. AI cannot replace this quickly.
We believe in:
“Software defines manufacturing.”
These processes are not about influence, reach, or views. Those are only support metrics.
AI can collect and organize those easily.
The only true metric is:
Results.
Workers will not disappear, but their roles will shift.
Fewer people are needed in digital processes, but a small number of responsible humans (who take the blame) are still required.
One-Person Companies and Super Individuals
Next, more people — especially in aging societies — will move toward one-person work models.
As I said earlier:
We lack people with expertise, experience, and networks.
These people are senior. They will not easily work full-time for one company. Startups cannot afford them full-time.
Work will shift to:
• One-person companies • Outsourcing models
Before, these experts worked full-time inside companies. Now one person can serve multiple companies.
Their ability becomes distributed. Phase-based. Spread across multiple businesses.
This trend is already visible.
The rise of the super individual.
Conclusion
There is no final conclusion.
AI is still evolving.
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