Despite fears that technological development will end up annihilating a large part of jobs, experts project a strong acceleration in the emergence of new job opportunities. “We have all seen what is happening with generative artificial intelligence and how quickly it is being adopted in various industries,” said Zahidi, managing director of the World Economic Forum (WEF) and head of the Center for the New Economy and Society of the organization.
Although the two emerging professions with the highest growth projections in the next five years are artificial intelligence specialists and machine learning experts, according to the WEF, other opportunities for job expansion are also emerging. For example, an increase in the hiring of environmental sustainability experts or agricultural equipment operators, jobs that are part of the top 10 jobs that will have the greatest demand in the next five years.
These projections were made by the Swiss-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. The analysis showed that almost 75% of the firms surveyed estimate that they will adopt artificial intelligence in their business. And regarding the technological impact on jobs, employers in large companies estimate that more jobs will be created than will be lost in the next five years.
These are the 10 jobs with the highest growth potential between 2023 and 2027, according to the WEF study.
1. Artificial Intelligence Specialist and Machine Learning Expert
Its mission is to ensure that computers can simulate human thinking. Artificial intelligence specialists build complex computer systems that can think like people and solve complex problems. Its focus is on the artificial intelligence system being able to solve problems, answer questions and complete tasks that are normally performed by humans. Therefore, the system must be able to operate completely autonomously, as an independent intelligence that can be controlled. They can provide you with several sets of data to analyze and draw your own conclusions.
Instead, the machine learning expert seeks to help artificial intelligence systems solve a particular problem more efficiently. It is not your goal to solve a wide variety of problems in parallel. While the AI scientist works to create independent intelligence that can solve many complex problems, the machine learning expert seeks to help AI systems reach more accurate and faster conclusions for a single problem.
Both can apply their knowledge in all types of industries and although they often began studying computer science, they may also have specialized after studying mathematics, statistics, or other related sciences.
2. Environmental sustainability specialist
Works with companies to achieve their environmental sustainability goals. You are a consultant whose responsibilities change depending on the organization you work for. You can dedicate yourself, for example, to managing projects to reduce polluting emissions, reduce energy consumption or participate in the development of environmental policies in investment plans; Because his career field is so broad, there is no “one path” to becoming a sustainability specialist.
Although this type of specialist usually has studies related to environmental sciences, he requires skills to collect and analyze data, identify problems and propose solutions that are useful for the company.
3. Business Intelligence Analyst
A business intelligence (BI) 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 competitor data, identifies opportunities, and proposes how to address business challenges. He is a professional who mixes knowledge from computer science, data science, statistics, business administration, economics and other related fields.
4. Information security analyst
Companies are exposed to the leak 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. To do this, the professional works in a team designing, adapting, monitoring, updating defense systems and responding to attacks.
Those beginning to develop 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 is specialized in technological finance, such as smart 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. He usually studies computer science and specializes in FinTech, gaining knowledge of artificial intelligence and machine learning. He handles different programming languages, such as JavaScript, Python, Ruby, PHP, HTML and CSS. He works with large databases and cloud platforms.
6. Data Analyst and Data Scientist
At first glance, the work of these two professionals might seem quite similar. Both look for trends or patterns in the data that are useful to their clients. The difference is that the scientist tends to have more responsibility and is therefore usually located at a higher ranking level. The scientist works on asking their own questions about the data or developing models using machine learning, while the analyst supports teams that already have established goals. Many data scientists may begin their careers as analysts or statisticians. Whatever the case, both professionals have the ability to extract 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 specialist is the data engineer, who handles exponential amounts of data and develops digital infrastructures to transform and transfer it.
Harvard Business Review considers that data science is currently and will be in the future the most desired job, as well as professions related to the area.
7. Robotics engineer
It helps create robotic systems that are 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 way of production in a car factory. The first step to develop this career is to study a degree in robotics and, based on that knowledge, follow a path of specialization that may be focused on the computer science area 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 designing and directing the operation of systems, components, motors and electronic, electrical and telecommunications equipment. He is in charge of control systems to monitor the performance and safety of all electrical and electronic systems of a company. His knowledge allows him to work in different types of electrical energy generation, transmission and distribution systems. He may also establish 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 of the areas of specialization.
9. Agricultural equipment operator
Its main function is to operate machinery to support agricultural activities, such as tilling the soil, planting, growing and harvesting crops, feeding and grazing animals, disposing of their waste. It may also perform tasks such as baling, irrigation, driving vehicles, or those related to handling equipment used after harvest for hulling, threshing or stripping. In addition to tractors, they may operate fertilizer spreaders or trucks, operate conveyor belts, loading machines, separators, cleaners and dryers. They are essential in field work so that the work functions efficiently.
10. Digital transformation specialist
As technological evolution advances at an unprecedented speed, the digital transformation specialist is a key professional in companies to take advantage of the available tools and develop their business, which is why this professional requires “immersing themselves” in the company for which they are working. working, understand what you need and develop a digital transformation plan. He is part of a team of experts who perform tasks such as updating the company's existing technologies, acquiring new ones, training the firm's workers, collaborating in the transition to different work flows and models adapted to new technological tools.
The digital transformation specialist can start by studying careers such as information technology, computer science or something related and then specialize.
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