The jobs that will be most in demand in the future may have already been identified.
Despite fears that the technological boom will eliminate a large part of the workforce, experts predict a rapid rate of emergence of new job opportunities.
"We have all witnessed what is happening with the use of artificial intelligence and how fast the technology is in various industries," said Saadia Zahidi, executive director of the World Economic Forum (WEF) and head of the Center for New Economy and Society of the International Organization for Economic Co-operation and Development.
While two of the fastest-growing emerging fields in the next five years are artificial intelligence and machine learning experts, according to the WEF, there are other career opportunities that are also expected to emerge.
For example, the employment of experts in the environmental sustainability sector or agricultural equipment operators, are some of the top 10 jobs that will have the greatest demand in the next five years.
This estimate was made by a Swiss-based organization, based on a detailed survey of 803 large companies that employ more than 11 million people in 45 economies around the world.
The survey showed that almost 75 percent of the companies surveyed believe that they will use artificial intelligence technology in their business.
And as for technology's impact on jobs, corporate employers estimate that more jobs will be created than lost in the next five years.
These are the 10 jobs with the highest potential for growth between 2023 and 2027, according to a WEF study.
1. Artificial intelligence and machine learning expert
This work aims to make computers imitate human thinking.
Artificial intelligence experts are expected to create computer systems that can think like people and solve complex problems.
This work also aims to enable the artificial intelligence system to be able to solve problems, answer questions and complete tasks that are usually done by humans.
Therefore, the system must be able to work with complete independence, as an independent intelligence that can be given to various data sets to analyze and draw its own conclusions.
Instead, a machine learning expert helps artificial intelligence systems solve a particular problem better.
While an AI scientist works to create an independent mind that can solve multiple problems, a machine learning specialist focuses on helping AI systems reach more accurate and faster conclusions on a single problem.
Both can apply their knowledge in all kinds of industries and although they often started studying computer science, they can also become professionals after studying mathematics, statistics, or other related sciences.
2. Environmental sustainability expert
It works with companies to achieve their environmental sustainability goals.
If you do this job you will be a consultant whose responsibilities change depending on the organization you work for.
It can volunteer, for example, to manage projects to reduce greenhouse gas emissions, reduce energy consumption or participate in the development of environmental policies in investment plans.
Because your field of work is so broad, there is no "one way" to become a sustainability professional.
Although this type of specialist usually has studies related to environmental science, it requires the skills to collect and analyze data, identify problems and propose solutions that are suitable for the company.
3. Business Intelligence Analyst
A business intelligence (BI) analyst reads and analyzes data to help companies make business decisions.
By processing large amounts of information, the analyst identifies potential business risks and recommends changes to improve the company's efficiency and productivity.
In short, this expert studies processes within the company, reviews and analyzes competitor data, identifies opportunities, and recommends how to address business challenges.
This professional also combines knowledge of computer science, data science, statistics, business management, economics and other related fields.
4. Information security analyst
Companies face leaks of sensitive business or customer data, including credit card numbers, passwords and private information of millions of users.
An information security analyst is dedicated to protecting computer networks, systems, databases and any type of sensitive information from cyber attacks.
Due to this, the specialist works to adjust, monitor, control the defense systems and respond to attacks.
Those starting the job need to have at least a degree in computer science or, for example, computer engineering. Depending on the country, there are specific cybersecurity certifications.
5. FinTech Engineer
The fintech industry is one of the fastest growing software platforms in the world.
This type of engineer specializes in technological finance, such as artificial intelligence-based banking, systems management related to customer satisfaction in the financial world, digital payment processing, cross-border transactions based on cryptography , digital asset management, or data analytics for risk management.
The person doing this job should have knowledge of computer science and expertise in FinTech, if he gets knowledge of artificial intelligence and machine learning he will be an expert in this field of technology.
He will be able to handle different programming languages, such as JavaScript, Python, Ruby, PHP, HTML and CSS. He will also work with large databases and cloud platforms.
6. Data analyst and data scientist
If you are not careful, you will realize that the work of these two professionals may seem to be the same thing.
Because they both look for trends in the data that are important to their customers.
The difference is that a scientist has more responsibility and is therefore usually at a higher level in terms of rank.
A scientist works on formulating their questions about data or creating models using machine learning, while an analyst supports teams that already have goals.
Many data scientists may begin their careers as analysts or statisticians. However, both professionals have the ability to provide meaningful information and interpret it.
And both develop skills in the field of statistics and advanced programming.
Another professional who is part of this type of specialization is the data engineer, who handles large amounts of data and creates digital infrastructures to transform and transfer them.
7. Robotics Engineer
He helps create robotic systems that are used to perform both human and non-human tasks.
This engineer builds prototypes of robotic systems, builds, maintains, and repairs machines, as well as researches and develops new applications for existing robots.
8. Engineer in electrotechnology
This field is focused on designing and leading the operation of systems, components, vehicles and electronic devices, electricity and telecommunications.
It is related to the management of control systems to monitor the performance and safety of all electrical and electronic systems in the company.
His skills allow a person to work in different types of power generation and distribution systems.
You can also set control standards to monitor the performance and safety of electrical, electronic and telecommunications systems.
Technology engineering is a broad term that includes specialized professionals such as electrical engineers, electronic engineers, and telecommunications engineers.
These professionals work with technicians in each area of expertise.
9. Operator of agricultural implements
His main job is to operate machines to support agricultural activities, such as plowing, planting and harvesting crops, feeding livestock, removing their waste.
You may also perform tasks such as shelling, watering, driving, or those related to handling post-harvest equipment such as threshing, threshing and tearing.
10. Digital transformation expert
As technological evolution continues at an unprecedented pace, a digital transformation specialist is a key expert in companies taking advantage of the tools available and advancing their business.
That is why this specialist needs to "immerse" in the company he works for, understand what he needs and develop a digital transformation plan.
He is part of a team of experts who perform tasks such as aligning existing company technologies, adding new ones, training company employees, collaborating in the transition of different workflows and work models adapted to new technological tools.
