Now AI technology represented by face recognition and automatic payment has penetrated into our unusual life, and unmanned stores and automatic driving are also being gradually tried, in the future, AI-based technology will change the way many of us live and work.

The Future of Work Report 2018, published by the World Economic Forum WEF, warns that "regular, middle-skill white-collar jobs like data entry clerks, accountants, secretaries, auditors, bank tellers and cashiers will be under threat from AI."

Maybe you'll say these are jobs that sell time and are not very skilled, so take a look at this case study:

JPMorgan Chase, one of the largest financial services organizations in the United States, used AI technology to develop a software for analyzing financial contracts. After testing, the software was found to do in seconds what it used to take loan officers 360,000 hours a year to do. Not only does it do it fast and well (with a much lower error rate), but it can also work 24 hours a day.

For children's shoes who want to study abroad, it is imperative to choose a profession with poor substitution, which can keep you from facing the dilemma of spending a high amount of money on studying abroad and coming back without a job~

Then first we should know what kind of job avoids competing head-on with AI before we can correspond to the choice of profession.

A joint study by economists at MIT and Harvard University found that, so far, there are two broad categories of occupations that are difficult to replace by technology. The first category is hands-on jobs, those that require environmental adaptability, visual and verbal discrimination, and interpersonal skills, such as nurses, nannies, cooks, cement workers, and so on.

But I believe that most of the children's shoes are more inclined to choose the second type of careers:

that is, abstract careers, which require you to have strong problem-solving skills, intuition, creativity, persuasive power, and so on, such as data analysts, managers, professors, engineers, and so on.

Here are a few types of jobs to consider.

Data Analyst

It is said that this is the era of big data, and there is a huge amount of data in all walks of life, which has given rise to the data analyst. The job in a nutshell is to collect large amounts of structured and unstructured data, validate it, and then extract information from it, interpret it, or analyze trends.

Looking at this overview, you might think it's not that hard, but in fact it's very difficult to be a good data analyst. First of all, you have to understand the company's business ah, in do not understand the industry knowledge, the company's business, under the process of analyzing the results, there is no practical value.

Secondly, you have to understand the analysis itself, a variety of analytical methods you should know well, right?

Then you have to understand the tools, now a variety of technological change, a variety of tools are endless, master the best tools is the way to win ah.

Artificial Intelligence AI and Machine Learning Specialist

Honestly, this is the most recommended and most desired job, why? Because it's all about going into artificial intelligence itself! By studying and creating AI, you can have a counter-choke on AI!

Artificial Intelligence counts as a field of computer science that emphasizes the ability of machines to work and react like humans. Machine learning, on the other hand, is a "method of data analysis that automatically builds models and analyzes them," and it is a branch of artificial intelligence that seeks to learn from data, recognize patterns, and make decisions with minimal human intervention.

Managers such as general managers

Management positions are naturally difficult to disappear, after all, there is a team in place, there is a need for a leader, otherwise it all becomes a scattered sand, how to maximize the benefits?

The responsibilities of a management position usually include setting policy, managing day-to-day operations, and planning the use of supplies and human resources. From this point, you can see that it is difficult for an AI to threaten a management position; after all, it is still difficult for an AI leader to communicate with his subordinates.

Sales and marketing specialists

Sales and marketing both require grasping and figuring out human nature, the former is pointing to those prospects to sell to, such as individuals or small groups, and they need to convert leads and prospects directly into purchases.

The latter, on the other hand, is about communicating the value of a product or service to a wider audience, which is equivalent to building a brand and requires a longer process.

To do well in the sales category, you need to be very adaptable, and while it's true that AI can respond based on categorization, it's after all not as flexible as we humans ourselves.

Dentists

A McKinsey report once showed that only 13% of every calculus removal procedure could be automated. Similarly, in other areas of healthcare, AI has a role to play but is ultimately limited.

It can only assist, not dominate. So our human life and health ah, still have to leave it to the great white angel ~

Education

In all fields, automation in the field of education is the least feasible, although now there are many digital teaching tools, online courses, but the "essence of teaching" is still a deep professional knowledge and complex interactions, and these characteristics are AI currently can not be. These are characteristics that AI is currently incapable of delivering.

Like the doctors above, one of them protects our physical health and the other protects our mental growth, two very personalized needs that can only be met by real people, not by AI.