The following conditions are easy for AI to learn.
- The goal is clear, objective, and static.
- The number of actions and choices that can be made at each moment is finite.
- At each moment, you can know how close you are to the goal by your choice.
- It is a closed system with little influence from unexpected external factors.
- There is a lot of data on choices and results for achieving the goal.
This situation is a good condition for learning not only AI but also humans.
According to a study published by James Shanteau, Competence in Experts: The Role of Task Characteristics, professionalism is well demonstrated in the profession when feedback is given, work is repeated, and objective analysis is possible.
However, it can be said that jobs with this expertise now have good conditions for AI to learn.
An environment that is easy for humans to learn is an environment that is easy for AI to learn, so this may have to give way to AI someday. Therefore, in order to survive in the AI era, you must choose a topic that is difficult to learn in an environment that is difficult to learn.
The conditions that are difficult to learn are as follows.
- The goal is ambiguous, subjective, and dynamic.
- At each moment, there are infinite actions and choices that can be made.
- At each moment, you cannot know how close you are to the goal by your choice.
- It is an open system that is largely influenced by unexpected external factors.
- There is a lack of data on choices and results for achieving the goal.
These conditions are difficult for humans to learn, and especially difficult for AI to learn.
In addition, AI is difficult to replace high-level jobs that require things such as originality, social sensitivity, negotiation, persuasion, and helping and caring for others.
- Originality: To come up with unusual or original ideas for a given topic or situation, or to create creative ways to solve problems.
- Social preceptiveness: Recognizing the reactions of others and understanding why they react like that.
- Negotiation: trying to reconcile people and reconcile the differences between each other.
- Persuasion: Convincing others to change their minds or behaviors.
- Assisting and caring for others: providing personal assistance, treatment, emotional support, or other personal assistance to others, such as colleagues, customers, and patients.
I am a developer. At the developer field, computer programmers are jobs that AI can easily replace, and software developers are jobs that AI can hardly replace. The difference between these two is in originality, negotiation, and persuasion ability.
- Computer programmer: The main task is to develop according to the specifications given by others, and the process does not require much negotiation or persuasion.
- Software developer: When creating software, it involves thinking about and designing what to make, and there are many tasks that interact with others in the process.
In addition, the lower the wage now, the more likely AI is to replace that job.
When creating your own career, you need to check whether AI is replaceable. If AI is a replaceable career, it is not competitive and maybe the job itself can be lost. In order to survive in the AI era, it is necessary to try to learn and grow the parts that AI cannot replace.
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