Discover the 10 jobs with the greatest growth potential – 07/17/2023 – Market

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

Despite fears that technological development will wipe out most jobs, specialists in the field project a strong acceleration in the emergence of new job opportunities.

“We’ve all seen what’s happening with generative artificial intelligence and how quickly it’s being adopted across multiple sectors,” says Saadia Zahidi, managing director of the World Economic Forum and head of the organization’s Center for New Economy and Society.

While the two emerging professions projected to grow the most over the next five years are artificial intelligence specialists and machine learning specialists, according to the World Economic Forum, other job expansion opportunities are also emerging.

For example, the increase in the hiring of specialists in environmental sustainability or operators of agricultural equipment – positions that are part of the top 10 of the most in-demand professions in the next five years.

These projections were made by the Switzerland-based organization, based on a detailed survey of 803 large companies that employ more than 11 million people in 45 economies in all regions of the world.

Nearly 75% of companies surveyed believe they will adopt artificial intelligence in their business. As for the impact of technology on jobs, executives at large companies estimate that more jobs will be created than lost over the next five years.

Below, see the list of the ten jobs with the greatest growth potential between 2023 and 2027, according to the study by the World Economic Forum.

1. Specialist in artificial intelligence and machine learning

The mission is to make computers simulate human thinking.

Artificial intelligence specialists build complex computer systems that can think like people and solve complex problems.

The focus of these professionals is to make the artificial intelligence system capable of solving problems, clarifying doubts and completing tasks normally performed by humans.

Therefore, the system must be able to operate fully autonomously, as an independent intelligence that can be provided with multiple data sets to analyze and draw its own conclusions.

Rather, the machine learning specialist seeks to help artificial intelligence systems solve a given problem more efficiently. It’s not your goal to solve a wide variety of problems in parallel.

While the AI ​​scientist works to create an independent intelligence capable of solving many complex problems, the machine learning specialist seeks to help AI systems reach more accurate and faster conclusions for a single problem.

Both can apply their knowledge in all kinds of industries, and although they often started out studying Computer Science, they may also have specialized after studying Mathematics, Statistics or other related sciences.

2. Specialist in environmental sustainability

Works with companies to achieve environmental sustainability goals.

You may be a consultant whose responsibilities change depending on the organization you work for.

You can dedicate yourself, for example, to the management of projects to reduce polluting emissions, reduce energy consumption or participate in the development of environmental policies in investment plans.

As the field of work is so broad, there is no “one way” to becoming 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 useful solutions for the company.

3. ‘Business Intelligence’ Analyst

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

Processing an immense amount of information, the analyst identifies vulnerable points and proposes changes to improve the company’s efficiency and productivity.

Typically, he studies processes within the company, reviews metrics, analyzes industry and competition data, identifies opportunities, and proposes how to address business challenges.

He is a professional who mixes knowledge of Informatics, Data Science, Statistics, Administration, Economics and other related areas.

4. Information security analyst

Companies are exposed to leakage of confidential business or customer data, including credit card numbers, passwords and private information of hundreds of millions of users.

The information security analyst is dedicated to protecting computer networks, systems, databases and any type of sensitive information from cyber attacks.

For this, the professional works as a team designing, adapting, monitoring, updating defense systems and responding to attacks.

In general, starting careers should have at least a bachelor’s degree in computer science or, for example, computer engineering. Depending on the country, there are specific certifications in cybersecurity.

5. Fintech Engineer

The fintech industry is one of the fastest growing software ecosystems in the world.

This type of engineer specializes in technology finance, systems management related to customer satisfaction in the financial world, digital payment processing, crypto-based cross-border transactions, digital asset management or data analysis for risk management.

This professional usually studies Computer Science and specializes in fintech, acquiring knowledge of artificial intelligence and machine learning.

It handles different programming languages ​​such as JavaScript, Python, Ruby, PHP, HTML and CSS. Job openings are often in large databases and cloud platforms.

6. Data analyst and data scientist

At first glance, the work of these two professionals may seem quite similar. Both look for trends or patterns in data that are useful to customers.

The difference is that the scientist tends to have more responsibility and, therefore, is generally positioned at a higher hierarchical level.

The scientist works by formulating his own questions about the data or developing models using machine learning, while the analyst supports teams that already have defined goals.

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

Both develop skills in the area of ​​statistics and advanced programming.

Another professional who works in this area is the data engineer, who deals with exponential amounts of data and develops digital infrastructures to transform and transfer them.

The Harvard Business Review considers that data science is currently and will be in the future the most desired job in the world, as well as the professions related to the area.

7. Robotics engineer

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

This engineer designs prototypes of robotic systems, builds, maintains and repairs the machines, in addition to conducting research and developing new applications for existing robots.

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

The first step towards developing this career usually involves a degree in robotics and, based on this knowledge, following a path of specialization —which can be focused on the computer science area of ​​robotics or on the design of components that require skills related to mechanical or electrical engineering. .

8. Electrotechnology engineer

The profession is dedicated to designing and directing the operation of systems, components, motors and electronic, electrical and telecommunications equipment.

Responsible for control systems to monitor the performance and safety of a company’s electrical and electronic systems.

His knowledge allows him to work in different types of electric power generation, transmission and distribution systems.

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

Technology engineering is a broad term that includes specialist professionals such as electrical engineers, electronics engineers, and telecommunications engineers.

These professionals work with technicians in each of the areas of expertise.

9. Agricultural equipment operator

Its main function is the operation of machines to support agricultural activities, such as plowing the soil, planting, cultivating and harvesting, feeding and herding animals.

It can also perform tasks such as irrigating, driving vehicles or harvesting or post-harvest equipment such as husking, threshing or shredding.

In addition to tractors, they can operate fertilizer spreaders or trucks, drive conveyors, loading machines, cleaners and dryers.

They are considered essential by companies working in the field for the process to work efficiently.

10. Specialist in digital transformation

With technological evolution advancing at an unprecedented speed, the specialist in digital transformation is a fundamental professional in companies to take advantage of the available tools and develop their business.

Therefore, this professional needs to “dive” into the company he is working for, understand what it needs and develop a digital transformation plan.

He is part of a team of specialists who carry out tasks such as updating existing technologies in the company, acquiring new ones, training the company’s workers, collaborating in the transition to different workflows and work models adapted to new technological tools.

The digital transformation specialist can start by studying careers like Information Technology, Computer Science or something related and then specialize.

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