Jobs that will disappear and others that are needed due to artificial intelligence

The world is changing at an accelerated pace, and the driver of these changes is technology, especially artificial intelligence. This complex technique that learns and improves on its own invades all fields.

The AI revolution is ravaging the world, leaving behind a wave of changes that are reshaping every aspect of our lives, including the labor market. While these technologies create promising new opportunities, they also cast a shadow over the future of some professions that may be in danger of disappearing in the long and short term, raising a pressing question: what is the fate of the professions that AI can do?

Artificial intelligence and functionality: Will machines replace us?

Artificial intelligence is a new industrial revolution hitting our world, as machine learning systems penetrate areas previously unthinkable and automate tasks at an accelerated pace. With this progress, one must ask: Will machines replace us in life? And what is the fate of human jobs in light of this growing intelligence?

AI represents a real threat to some jobs, especially those that are routine and involve repetitive and predictable tasks. For example, automated programs can now bank transactions, book flights, write financial reports, and even craft simple news – functions previously performed only by humans. While some estimate that 47% of existing traditional jobs could disappear due to AI over the next two decades, others argue that its impact will not be of this magnitude, and that new job opportunities will be created that did not exist before.

In fact, there are a number of jobs that face a high probability of disappearing or radically transforming due to artificial intelligence. In anticipation of the future, we try to list these jobs and areas to avoid an unforeseen fate, and to advance the coexistence and development required for a better future for human workers.

1. Routine and stereotypical functions - robotics and artificial intelligence

Repetitive and profilable tasks are the easiest prey for AI. Businesses such as data entry, simple logistics, and some factory businesses can be replaced by machines powered by intelligent software, threatening the job prospects of many. The easiest and simplest ways to learn machine or smart software are those that rely on repetitive processes, and smooth or even complex scenarios that can be easily learned. This gives great proportions in avoiding human errors, as well as smoothness and speed of performance. These are standards that are always in demand in the business world.

For simplicity, we can say, that is, works that involve repeating simple tasks and require a little creativity or critical thinking. These include, but are not limited to:

● Production line workers: Robots can perform assembly and packaging tasks more accurately and quickly than humans, which can dispense with many humans in these jobs, and become subject to complete replacement.

● Construction and factory workers: Robotics companies are developing robots that are more capable of carrying out various construction and manufacturing tasks, threatening these jobs that rely on hard physical labor.

● Agricultural and harvesting workers: Drones and automated agricultural machinery can perform farming, irrigation and harvesting tasks more accurately and effectively than humans, which can lead to the layoffs of a large number of agricultural workers.

● Drivers' jobs such as taxi drivers and transport vehicles: Self-driving cars are evolving rapidly, and despite legal and technical challenges, they are likely to replace taxi drivers and public transport services in the near future. Autonomous driving is one of the most promising applications of artificial intelligence, which threatens the future of all these professions significantly.

A significant decline in these occupations is expected overall over the next ten years.

2. Jobs that will disappear due to artificial intelligence as a result of skills that can be taught to machines

Artificial intelligence has achieved great success in continuous learning with many jobs that require skills from simple to advanced level. It is expected that there are several jobs in the world that will be raided by smart machines and applications:

● Accountants and financial analysts: Smart software can now analyze financial data and make accurate investment recommendations, reducing the need for human professionals in some tasks.

● Interpreters: As machine language translation technologies evolve, interpreter services may become less in demand in the future.

● Data Entry + Classification Functions for Data Collection: With AI software capable of reading and processing data very quickly and accurately, the need for functions that rely on manually entering and classifying information will disappear.

● Information investigators: Thanks to AI's ability to process vast amounts of data at breakneck speed, companies' need for these manual tasks will shrink.

● Customer service staff: Chatbots are already replacing humans in answering common questions and providing basic customer support, without the need for traditional customer service staff. Smart chatbots are able to answer questions, manage reservations, and solve minor problems, reducing the need for human staff in call centers.

● Proofreaders: Proofreading programs have never been more accurate than these days. And there's a development coming for the better! Such applications now do work that requires hours in minutes and maybe less. However, creative proofreading may require a lot of time to reach the quality of an expert human mind.

● Simple retail and service functions: AI software can analyze purchasing patterns, provide personalized recommendations to customers, and can effectively manage inventory, which can reduce the number of employees required in stores.

3. Threatened managerial and creative jobs

The use of AI is growing all the time through development and learning, so even jobs that require a significant amount of thinking and human intelligence are also vulnerable to replacement.

● Some administrative and analytical functions: AI software is constantly improving at data analysis and forecasting results, which may lead to the replacement of financial analysts and some traditional accountants in the future.

● Simple creative works: routine content writing, traditional basic graphic design, and some types of translation, especially routine translation, may also be affected by artificial intelligence, especially with the development of machine creativity tools.

These are just examples, and the list goes on. But does this mean the end of human jobs in the coming years? Of course not! History tells us that technological progress creates new opportunities as much as it eliminates others. The new professions that will arise thanks to artificial intelligence require different skills related to creativity, critical thinking, social intelligence, and human relationships. Focusing on these skills, and preparing to adapt to changing job market demands, ensures you stay afloat even in the midst of the wave of AI.

What skills are most required to keep up with AI?

There is no need to fear AI, it is our partner in the journey of progress, we just have to prepare to steer it towards a better future, where man and machine thrive together.

While AI raises concerns about machines replacing human jobs, it also creates an exciting array of new career opportunities. Complex AI systems require specialized human support in a variety of fields, giving rise to careers we never dreamed of before.

Talk of the threat is not to despair, as the transformation brought about by artificial intelligence will create promising new opportunities as well. The need for the following will increase:

● Advanced data analysis and processing skills: Experts in data analysis will play a pivotal role in extracting meaning from the vast amount of data that AI systems will collect, and employ it in decision-making and process optimization.

● AI systems development and maintenance skills: The world will need an army of developers and engineers to design, build and maintain complex AI systems.

● Advanced creativity and innovation skills: With routine tasks left to machines, humans will be freed to focus on tasks that require creativity, innovation and critical thinking, and innovators and entrepreneurs will be in great demand in new areas that will arise thanks to artificial intelligence.

● Machine handling and integration skills: All employees, regardless of their industry, will have to adapt to the presence of AI and learn to collaborate effectively with it to achieve maximum productivity.

What jobs are required in the age of artificial intelligence?

Although there is great concern for many, there are wide areas that this new industrial revolution will generate, and there is a vast list of jobs related to the new era, some of which already exist, and we will mention the extent of development and renewal of those jobs:

● Data Scientists: To extract valuable meanings and patterns from data and turn them into actionable insights.

● Data engineers: to build the data infrastructure needed to store and process the vast amount of data.

● Artificial intelligence engineers: to design, build and train various AI systems.

● AI ethics experts: to ensure that AI systems comply with ethical values and are used responsibly.

● AI security specialists: to protect AI systems from cyberattacks and malicious use.

● Innovators and entrepreneurs: to develop new applications and technologies powered by artificial intelligence.

● Artists and designers: to create content and interactive experiences enhanced by AI technologies.

● Writers and journalists: to interpret data and insights produced by AI systems and turn them into engaging stories and articles.

● Project Managers: To lead teams that combine human experts and intelligent systems to achieve common goals.

● Teachers and mentors: to train and prepare the workforce to adapt to the changing world of work dominated by artificial intelligence.

● Communication experts: to explain how AI systems work to the general public and build trust in these technologies.

● UX/UI designers: to create intuitive and easy-to-use interfaces for AI-powered products and services.

● Legal experts: to navigate the complex legal and ethical issues surrounding AI, including intellectual property, liability and privacy.

● Healthcare professionals: Collaborate with AI engineers and data scientists to develop and deploy AI solutions that improve patient care, diagnosis, and treatment outcomes.

● Ecologists: To harness AI techniques to monitor and analyze environmental data to better understand and mitigate climate change and natural disasters.

● Financial Analysts: To leverage AI systems to analyze market trends, make investment decisions, and manage risk in the financial industry.

● Supply chain managers: to optimize logistics and supply chain processes using AI techniques to improve efficiency and reduce costs.

● Sociologists: to study the impact of AI on society and human behavior, including impacts on employment, inequality and decision-making.

● Law enforcement and security professionals: Use AI tools for surveillance, predictive policing, and threat detection to enhance public safety and national security.

What steps should be taken to prepare for future careers?

● Lifelong learning: As the field of AI evolves rapidly, it is essential to commit to continuous learning and acquire new skills as modern as possible.

● Emphasis on critical thinking skills: Unique human skills such as creativity, critical thinking, and empathy will still be in great demand in the age of artificial intelligence.

● Willingness to collaborate with machines: We must be ready to work naturally with these new smart software and machines, it is not limited to mechanized development alone, but we can simply say that we are entering an era where humans are working with intelligent machines faster and more.

● Reduce the acquisition of traditional and routine skills: Technology in general always contributes to reducing routine work, and this new wave has already solved many jobs. The bottom line is not to focus on such skills.

With this rapid transformation, governments and educational institutions must prepare for the future by restructuring education and training programs: to equip the workforce with the skills needed in the age of artificial intelligence, emphasis should be placed on data analysis, programming, critical thinking, creativity, and lifelong learning. Build social safety nets so that retraining programs must be provided and career transition supported.