What are the professions most threatened by the development of artificial intelligence? Here are some examples of it.
Artificial Intelligence (AI) has become one of the most important branches of technology. Innovation in the field has made it possible to automate multiple processes in recent years. Such is the level of productivity improvement that there are certain professions that have been replaced by machines. What are the jobs that can already be performed, autonomously, by a series of algorithms?
This type of technology has only introduced improvements and, without a doubt, the appearance of solutions such as ChatGPT have become authentic exponential productivity tools. In a sense, this raises some concern. Such is the point of insecurity caused by the use of these systems that Elon Musk and other researchers have filed a petition to pause development plans for this technology.
Let us see, therefore, what are those tasks that we can delegate to Artificial Intelligence, why these are very interesting alternatives from the point of view of productivity and, of course, to what extent we are at the beginning of a new era in the field of technology. Who would have thought that what has been achieved at this point would be achieved?
Artificial intelligence and what it is already capable of doing autonomously
AI has become a benchmark in terms of productivity . Therefore, below we show you some of the tasks that it is already capable of performing completely automatically. Here are some of the keys to understand why we are facing a proposal that can be used by companies to improve their competitiveness in the medium term.
Have you ever interacted by chat with the customer service of a company? In most cases, doubts and complaints have a common denominator. For this reason, the integration of solutions based on technologies similar to those offered by ChatGPT can be very interesting. After all, you don’t need a very powerful algorithm to solve most problems.
We would therefore be facing the elimination of a large number of employees of this class. It is true that, on certain occasions, a part of this labor force will be required to attend to more specific cases, but most doubts can be resolved through this technology.
The conventional receptionist position could have its days numbered in the coming years given the incredible growth that Artificial Intelligence is experiencing. Most tasks can already be replaced by this type of solution . In fact, there are advanced programs to even answer the phone. It is possible that you have called a restaurant to make a reservation and that you have been served by a robot to use.
The management of the payment per stay and other conventional tasks can be carried out, in the same way, through screens and electronic systems of this kind. It is a matter of time before the receptionist requirements will be reduced as these options are integrated in all types of establishments.
Professions linked to mobility
Among the different levels of autonomous driving , we can currently find options in steps 0, 1 and 2 . It is true that some manufacturers already have their own technology at level 3 onwards, but international traffic regulations have not allowed their standardization for safety reasons. Be that as it may, we are facing the end of millions of jobs around the world in the long term.
Paradoxically, some companies are financing autonomous driving programs thanks to the employees of these companies. The best example of this is shown by Uber, whose income is used to promote the development of its own autonomous driving system.
The translation profession, historically, has become one of the most demanded and important. After all, it enables diplomatic relations between countries, among many other functions. However, Artificial Intelligence has made it possible to have real-time translators with a differential degree of efficiency. This will allow this function to be replaced in the medium and long term.
The integration of new languages is a ‘piece of cake’ for this technology, while obtaining a degree of differential fluency for a person can take several years. In the same way, companies and organizations will have this type of tool due to its low cost compared to the wages and salaries that conventional translation implies.
Professional soldiers replaced by Artificial Intelligence
How will wars be fought in the medium and long term? In the war that is being waged in the Ukraine, it has been possible to observe how there are trenches and military equipment more typical of the 20th century than one of the latest generation. Even so, there is weaponry loaded with artificial intelligence designed to destroy targets with a precision only possible thanks to the AI-based systems they incorporate.
This is differential technology that could make it possible for battles in the future , fortunately, to be fought exclusively between robots. This is not likely to happen in the medium term, but we do find ourselves before a technology with great potential ahead.
Intervention teams in the operating room
What would happen if a technology was particularly trained to offer a great development in the field of medicine? Companies like Meta Holdings are designing a whole series of proposals that are designed to take the metaverse to a new dimension . Thanks to it, remote surgical interventions could be performed. Now, what if the help of a person was not even required?
A robotic arm capable of performing open-heart operations could be a reality in the long term . At the moment, this is not something that has been assessed, but it is expected that in the medium term work can be carried out on the matter that implies the exclusive use of this technology.
Accounting and legal staff
Professions that require legal knowledge or knowledge related to business accounting could be threatened by the standardization of Artificial Intelligence. After all, these are databases with decision-making capacity. It is true that certain answers to problems require subjective questions, but the truth is that the time will come when the conditions can be met so that this type of technology can be able to choose between various options .
Will this type of proposal be more efficient than the decisions made by the salaried staff themselves ? It is still too early to tell, but considering how fast this branch of technology has advanced, it would not be surprising if the conditions for it were in place.