What are the 10 jobs of the future?

The jobs that will be most in demand in the future are already here.

Despite fears that technological developments will eventually destroy many jobs, experts predict a strong acceleration in job creation.

“We have all seen what is happening with generative artificial intelligence and how quickly it is being adopted in various industries,” said Saadia Zahidi, director of the World Economic Forum (WEF) and head of the organization’s Center for the New Economy and Society.

Although the two emerging occupations with the highest growth projections over the next five years are artificial intelligence and machine learning specialists, according to the WEF, other job expansion opportunities are emerging.

For example, increasing the employment of experts in environmental sustainability or agricultural equipment operators, jobs that are part of the top 10 jobs for which there will be the greatest demand in the next five years.

These projections were made by the Switzerland-based organization based on detailed research of 803 large companies employing more than 11 million people in 45 economies from all regions of the world.

The analysis showed that almost 75% of the surveyed companies believe that they will adopt artificial intelligence in their operations.

And as for the technological impact on jobs, employers of large companies estimate that more jobs will be created than lost in the next five years.

These are the 10 jobs with the greatest growth potential between 2023 and 2027, according to a WEF study.

1. Specialist in artificial intelligence and expert in machine learning

His mission is to make computers simulate human thought.

Artificial intelligence experts build complex computer systems that can think like humans and solve complex problems.

Its focus is on making an artificial intelligence system able to solve problems, answer questions, and perform tasks normally performed by humans.

Therefore, the system must be able to act completely autonomously, as an independent intelligence that can be supplied with various data sets to analyze and draw its own conclusions.

Instead, a machine learning expert seeks to help artificial intelligence systems solve a particular problem more efficiently. Your goal is not to solve various problems in parallel.

While an AI scientist works to create an independent intelligence that can solve many complex problems, a machine learning specialist aims to help AI systems reach more accurate and faster conclusions for a single problem.

Both can apply their knowledge to all kinds of industries and although many times they started studying computer science, they may have specialized after studying mathematics, statistics or other related sciences.

2. Environmental sustainability expert

It works with companies to achieve their environmental sustainability goals.

You are a consultant whose responsibilities change depending on the organization you work for. It can be dedicated, for example, to the management of projects to reduce polluting emissions, reduce energy consumption or participate in the development of environmental protection policies in investment plans.

Because your field of work is so broad, there is no “one way” to become a sustainability expert.

Although this type of specialist usually has studies related to environmental sciences, it requires skills to collect and analyze data, identify problems and propose solutions that are beneficial to the company.

3. Business intelligence analyst

A business intelligence (BI) analyst studies data sets to help companies make business decisions.

Processing a huge amount of information, the analyst identifies vulnerable points and suggests changes to improve the efficiency and productivity of the company.

He typically studies processes within a company, reviews metrics, analyzes industry and competitive data, identifies opportunities, and suggests how to address business challenges.

He is a professional who combines knowledge from computer science, data science, statistics, business administration, economics and other related fields.

4. Information security analyst

Companies are exposed to leaks of sensitive business or user data, including credit card numbers, passwords and private information of hundreds 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.

For this purpose, the expert works in a team that designs, adapts, monitors, updates defense systems and responds to attacks.

Those starting a career require at least a bachelor’s 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 ecosystems in the world.

This type of engineer specializes in technological finance, such as intelligent banking based on artificial intelligence, management of systems related to customer satisfaction within the financial world, digital payment processing, cross-border transactions based on cryptography. , digital asset management or data analysis for risk management.

Otherwise, he studies informatics and specializes in FinTech, gaining knowledge about artificial intelligence and machine learning.

It handles different programming languages, such as JavaScript, Python, Ruby, PHP, HTML and CSS. Work with large databases and cloud platforms.

6. Data analyst and data scientist

At first glance, the work of these two experts may seem quite similar.

Both look for trends or patterns in data that are useful to their clients.

The difference is that a scientist has more responsibility and is therefore usually at a higher level.

A scientist works to formulate their own questions about data or develop models using machine learning, while an analyst supports teams that already have set goals.

Many data scientists may begin their careers as analysts or statisticians. Either way, both professionals have the ability to extract meaningful information and interpret it.

And both develop skills in statistics and advanced programming.

Another specialist who is part of this type of specialist is the data engineer, who handles exponential amounts of data and develops the digital infrastructure for its transformation and transmission.

Harvard Business Review believes that data science is currently and will be the most desirable job, as well as professions related to the field.

7. Robotics engineer

Help create robotic systems used to perform human and non-human tasks.

This engineer designs prototypes of robotic systems, builds, maintains and repairs machines, as well as conducts research and develops new applications for existing robots.

The robots he designs are used for a variety of purposes, from exploring other planets, improving surgical procedures in hospitals or production methods in a car factory.

The first step to develop this career is to study a degree in robotics and from this knowledge follow a specialization path that can focus on the computer science field of robotics or on the design of components that require skills related to mechanical engineering or electrical engineering..

8. Electrotechnology engineer

It is dedicated to the design and operation management of systems, components, engines and electronic, electrical and telecommunication equipment.

He is in charge of management systems for monitoring the operation and safety of all electrical and electronic systems in the company.

His knowledge enables him to work in different types of electricity production, transmission and distribution systems.

You can also establish control standards to monitor the performance and safety of electrical, electronic and telecommunications systems.

Technological 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 equipment

Their main function is to operate machinery to support agricultural activities, such as tilling the soil, planting, growing and harvesting crops, feeding and grazing animals, and removing their waste.

You may also perform tasks such as baling, irrigating, driving vehicles or those related to handling equipment used after harvest for husking, threshing or threshing.

In addition to tractors, they can operate fertilizer spreaders or trucks, drive conveyor belts, loading machines, spreaders, sweepers and dryers.

They are essential in fieldwork for the job to function effectively.

10. Digital transformation specialist

As technological evolution progresses at an unprecedented speed, a digital transformation specialist is a key expert in companies who can take advantage of the available tools and grow their business.

That’s why this professional needs to “immerse” himself in the company he works for, understand what he needs and develop a digital transformation plan.

He is part of a team of experts that performs tasks such as updating the company’s existing technologies, acquiring new ones, training the company’s workers, cooperating in the transition to different workflows and work models adapted to new technological tools.

A digital transformation professional can start by studying a profession such as information technology, computer science, or something similar, and then specialize.