Summary of the Key Points
This article does not fall for the panic-mongering about AI causing half of the workforce to lose their jobs. Instead, it uses official employment forecast data from the U.S. Bureau of Labor Statistics for 2025-2035 to debunk the common misconception that AI will take over jobs. Over the next decade, the total number of jobs in the United States is expected to increase by 5.9 million. Positions that are often thought to be most vulnerable to AI, such as programmers, HR professionals, and data scientists, are actually seeing growth, while only purely administrative roles are expected to see a slight decline. The main message of the article is that AI does not eliminate entire jobs but rather breaks down the specific tasks within them, automating the parts that can be automated. This process will force a complete reconfiguration of the corporate organizational structure that has been in place for centuries, based on fixed roles and hierarchical division of labor. As a result, the value of human work will shift from simply performing tasks to defining tasks, making judgments, and taking responsibility.
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Detailed and Easy-to-Understand Explanation
1. Don’t be scared by “high AI exposure” – many roles will become more valuable
Many people panic when they see a role labeled as “highly exposed to AI,” thinking it will be immediately replaced by machines. However, this label refers only to the routine, repetitive tasks that AI can handle efficiently, not the entire job. For example, programmers used to have to write code from scratch, debug bugs, and adjust parameters, working for 8 hours a day on at most one project. Now, AI can handle 70% of the coding work, allowing programmers to focus on the core logic and ensuring the code meets business requirements. This means they can handle three projects at once, and companies will need more experienced programmers who can work with AI, not fewer. The same applies to HR: instead of spending half a month reviewing thousands of resumes, AI can do this in 10 minutes, freeing up HR to focus on more important tasks such as identifying the talent needed for the company’s future, designing recruitment policies to avoid discrimination, and providing career development for employees.
2. The real threat to jobs is not AI replacing them, but AI reducing the value of those roles
Many companies’ attempts at “AI empowerment” are misdirected. They simply provide employees with AI tools without changing other aspects of their work processes, such as approval procedures or departmental structures. As a result, employees may find themselves with less to do (e.g., filling out forms, organizing data, or writing reports), leaving them with no meaningful tasks. These employees are often the first to be laid off. This is not because they are not hardworking, but because 90% of the value of their roles has been eliminated by AI, and they haven’t developed new, irreplaceable skills.
3. Employment is not declining overall; it’s a major reshuffle of values
According to the Bureau of Labor Statistics, 2.2 million new jobs will be created in the next decade, with a significant increase in fields like healthcare and elderly care. In contrast, purely administrative and telemarketing roles will see a significant reduction. The reason is simple: while AI can handle routine tasks, it cannot provide emotional support or make critical decisions in emergency situations. Roles that require real interaction, immediate judgment, and responsibility, such as in healthcare and data centers, will remain in high demand.
4. The jobs that may disappear first are not the people, but the traditional roles we’ve used for decades
In the industrial era, fixed roles were necessary because human skills were rigid. To hire someone to code, you had to assign them all related tasks. With AI, skills can be more flexibly matched to specific needs. For a new project, you don’t need to create separate roles for programmers, HR, or finance; instead, you can assign tasks based on the required skills. This flexible approach will become the norm as AI can quickly assess everyone’s capabilities and match them to the project.
5. The criteria for finding a job have changed
In the past, we focused on how fast we could complete tasks (e.g., typing speed, PPT skills, resume screening). These skills will become less valuable as AI can do them much faster and without errors. What will matter in the future are skills that AI cannot learn, such as identifying unique opportunities, making informed decisions, and handling difficult situations. Companies will hire people who can make decisions and take responsibility, as these are skills that AI cannot replace.
In summary, the future of work is one of redefined roles and greater value for those who can think critically, make decisions, and take responsibility, rather than those who simply perform tasks efficiently.